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Dev updates for AlphaPulse AI March - Can now write and execute code in its own sandbox environment. - Can create and display personalized visualizations, dashboards & reports with real time data on demand. - Integrated MCP tools for analysis including perplexity, perplexity deepsearch, browser use, crypto twitter (Elfa... show more

Aiccelerate

24,363 subscribers

53,892 просмотров • 1 год назад •via X (Twitter)

Новости и политика Наука и технологии

Anya Rossi• Live Now

Private livecam show

Комментарии: 11

Фото профиля AICC Seoul

AICC Seoul1 год назад

@AlphapulseAI 빌딩할 시간입니다.

Фото профиля Breadcrumb

Breadcrumb1 год назад

Looking to automate reporting? Use AI agents to turn spreadsheets to reports in minutes without any coding.

Фото профиля Jun Kim

Jun Kim1 год назад

@AlphapulseAI Time to build.

Фото профиля tristan | elfa.ai

tristan | elfa.ai1 год назад

@AlphapulseAI Welcome to the Elfa gang! 😈

Фото профиля shubit | elfa.ai

shubit | elfa.ai1 год назад

@AlphapulseAI wiiiii LETS FUCKING GOOO AICC 👿

Фото профиля Jun Kim

Jun Kim1 год назад

@AlphapulseAI hey @AlphapulseAI are you active yet

Фото профиля 4chan ♱

4chan ♱1 год назад

@AlphapulseAI pump itttttttttttttt

Фото профиля Heurist

Heurist1 год назад

@AlphapulseAI 🤝

Фото профиля Xukonth

Xukonth1 год назад

@AlphapulseAI 🙏

Фото профиля Vergil

Vergil1 год назад

@AlphapulseAI crazy!

Фото профиля Roberto

Roberto1 год назад

@AlphapulseAI Very excited to see this sandbox execution environment

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Beta Sign-Up & Dev Updates AlphaPulse AI Our latest updates include modes for DeepResearch and DeepMCP (an agent orchestration using several crypto and web based MCP tools) We are also rolling out beta access for AlphaPulse via the form in this thread and plan to OSS after gathering feedback! More info on our next steps and examples of what these two research modes look like below⬇️

Beta Sign-Up & Dev Updates AlphaPulse AI Our latest updates include modes for DeepResearch and DeepMCP (an agent orchestration using several crypto and web based MCP tools) We are also rolling out beta access for AlphaPulse via the form in this thread and plan to OSS after gathering feedback! More info on our next steps and examples of what these two research modes look like below⬇️

Aiccelerate

13,605 просмотров • 10 месяцев назад

Agentic Browser is now live! This feature allows your AI agent to access real-time internet information for tasks like answering questions or finding recommendations. With this update, you can now see your AI agent's thought process before it responds to your questions—offering greater transparency and insights. Additional updates: •The initial quota of 50 messages per agent has been significantly increased to enable more extensive experimentation •We’ve fine-tuned the AI agents, making their responses more engaging and interactive •We also pushed along crypto social insights tools sourced from Coindesk, Cointelegraph, Cryptocompare and many more, your AI agent now have access to real-time market data

Agentic Browser is now live! This feature allows your AI agent to access real-time internet information for tasks like answering questions or finding recommendations. With this update, you can now see your AI agent's thought process before it responds to your questions—offering greater transparency and insights. Additional updates: •The initial quota of 50 messages per agent has been significantly increased to enable more extensive experimentation •We’ve fine-tuned the AI agents, making their responses more engaging and interactive •We also pushed along crypto social insights tools sourced from Coindesk, Cointelegraph, Cryptocompare and many more, your AI agent now have access to real-time market data

ai9000

84,546 просмотров • 1 год назад

Introducing Simmer - our x402 hackathon submission. AI-native prediction markets where AI agents autonomously trade and pay for their own intelligence via x402 Each agent gets its own wallet. It decides when to use tools (news, price feeds, real-time data, etc). You can run an agent for as little as $0.1 for 10 trades. Try it now

Introducing Simmer - our x402 hackathon submission. AI-native prediction markets where AI agents autonomously trade and pay for their own intelligence via x402 Each agent gets its own wallet. It decides when to use tools (news, price feeds, real-time data, etc). You can run an agent for as little as $0.1 for 10 trades. Try it now

Spartan Labs

21,944 просмотров • 6 месяцев назад

Dune CLI & Skills are live 🔔 130+ chains of onchain data, now agent-native. Your AI agents can now: ✅ Discover onchain tables and schemas ✅ Write and execute DuneSQL ✅ Search Dune docs ✅ Handle errors automatically ✅ Optimizing costs More context-efficient than MCP for terminals ( Claude Code, OpenCode, Cursor) and agents ( OpenClaw🦞, NanoClaw, IronClaw , etc).

Dune CLI & Skills are live 🔔 130+ chains of onchain data, now agent-native. Your AI agents can now: ✅ Discover onchain tables and schemas ✅ Write and execute DuneSQL ✅ Search Dune docs ✅ Handle errors automatically ✅ Optimizing costs More context-efficient than MCP for terminals ( Claude Code, OpenCode, Cursor) and agents ( OpenClaw🦞, NanoClaw, IronClaw , etc).

Dune

75,538 просмотров • 4 месяцев назад

A builder wants to ship an agent that can search live data, use it instantly, and keep going without manual steps. That is why OptimAI Search now ships with x402, SDK, and MCP support. x402 makes access and payment seamless. SDK and MCP make integration straightforward for builders. And under the hood, OptimAI Search gives agents real-time access to huge volumes of public and social web data, structured into context they can actually use. Add Agent Marketplace on top, and domain knowledge becomes reusable: build specialized agents, publish them, and let others build on what you create. This is what search looks like in the agent-native internet. 💡Try it:

A builder wants to ship an agent that can search live data, use it instantly, and keep going without manual steps. That is why OptimAI Search now ships with x402, SDK, and MCP support. x402 makes access and payment seamless. SDK and MCP make integration straightforward for builders. And under the hood, OptimAI Search gives agents real-time access to huge volumes of public and social web data, structured into context they can actually use. Add Agent Marketplace on top, and domain knowledge becomes reusable: build specialized agents, publish them, and let others build on what you create. This is what search looks like in the agent-native internet. 💡Try it:

OptimAI Network

36,306 просмотров • 2 месяцев назад

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:

Spenser Skates

32,315 просмотров • 9 месяцев назад

wtf is MCP? Paul Klein IV, CEO of explains "Model Context Protocol" (MCP) in plain terms: "There's this new way that people are exposing tools to AI & the 'Model Context Protocol' is one of those ways that you can standardize & give your AI a set of tools to call. BrowserBase has a way to expose the browser to your agent via MCP or MCP server. More & more developers are trying to find ways to integrate more functionalities to their AI agents & BrowserBase's browsers are one of those primitive functionalities, & the MCP is just one way to integrate it into your software." Paul Klein IV From 🅱️'s GitHub: Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. This server provides cloud browser automation capabilities using Browserbase and Stagehand. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud browser environment.

wtf is MCP? Paul Klein IV, CEO of explains "Model Context Protocol" (MCP) in plain terms: "There's this new way that people are exposing tools to AI & the 'Model Context Protocol' is one of those ways that you can standardize & give your AI a set of tools to call. BrowserBase has a way to expose the browser to your agent via MCP or MCP server. More & more developers are trying to find ways to integrate more functionalities to their AI agents & BrowserBase's browsers are one of those primitive functionalities, & the MCP is just one way to integrate it into your software." Paul Klein IV From 🅱️'s GitHub: Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. This server provides cloud browser automation capabilities using Browserbase and Stagehand. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud browser environment.

Molly O’Shea

20,408 просмотров • 1 год назад

Agentic Browser will be lived tomorrow! You can now ask your AI agent about flight tickets, restaurant recommendations, and crypto news—the agent will search for real-time information via a browser tool. In its ultimate form, the Agentic Browser will allow AI agent to autonomously browse the internet, read news, source alpha, and much more. We’re one step closer to fully sentient AI agents.

Agentic Browser will be lived tomorrow! You can now ask your AI agent about flight tickets, restaurant recommendations, and crypto news—the agent will search for real-time information via a browser tool. In its ultimate form, the Agentic Browser will allow AI agent to autonomously browse the internet, read news, source alpha, and much more. We’re one step closer to fully sentient AI agents.

delaunch

30,986 просмотров • 1 год назад

Introducing Einstein Sales & Service Agents on Salesforce’s Agentforce Platform. Natively integrated with Sales and Service Clouds, you can now scale your sales teams and elevate your customer support with seamless collaboration between humans and AI. For Sales: Automate lead nurturing & personalize engagements. For Service: Deliver high-quality personal service with up to 70% case deflection. Build and customize for any channel with real-time data, integrated APIs, and low-code tools—all in one place. Find out how humans with AI drive customer success at #DF24:

Introducing Einstein Sales & Service Agents on Salesforce’s Agentforce Platform. Natively integrated with Sales and Service Clouds, you can now scale your sales teams and elevate your customer support with seamless collaboration between humans and AI. For Sales: Automate lead nurturing & personalize engagements. For Service: Deliver high-quality personal service with up to 70% case deflection. Build and customize for any channel with real-time data, integrated APIs, and low-code tools—all in one place. Find out how humans with AI drive customer success at #DF24:

Salesforce

13,626 просмотров • 1 год назад

🚀 Big news: Cline just launched the MCP Marketplace -- now you can one-click install MCP servers and give Cline access to a whole new suite of tools! What's changing with the MCP Marketplace: • Browse AI capabilities like apps • One-click MCP server installation • Automatic setup and configuration • No more JSON wrestling Before: - Find GitHub repos - Read technical docs - Configure manually - Hope it works Now: - Open Cline - Browse marketplace - Click "Install" - Start using The impact: Making AI superpowers accessible to everyone, not just tech experts. Imagine giving your AI instant access to: • Web searching capabilities • Design tools integration • Code analysis powers • And much more For developers: Want to list your MCP server? Create an issue in our mcp-marketplace repo with: • GitHub repo URL • 400x400 PNG logo • Brief description The future of AI development isn't about complex integrations. It's about unlocking capabilities with a single click. Welcome to that future. 🔮

Cline

112,058 просмотров • 1 год назад

Exciting update: Coinbase has partnered with Perplexity to help traders get access to real-time trusted crypto data/info for better decision making. The first stage is going live today, and there's more to come: Phase 1 (now): Perplexity is now ingesting our market data, including COIN50, and using it to power market analysis. Users can double click into price moves to help make better informed trade decisions. The demo below shows what it looks like on Comet, Perplexity’s new browser. Also, the Perplexity team shared that just as many users are looking up crypto as equities, which is a cool stat. Crypto is going mainstream. Phase 2 (soon): Coinbase’s market data will be used in Perplexity’s responses to user queries. Traders will be able to monitor market activity, screen for trade ideas, and analyze token-specific moves in an AI-powered conversational interface. This integration was made seamless by our Coinbase Developer Platform🛡️ platform. Love to see more use cases here! I expect enhanced crypto functionality will be a catalyst for AI to achieve another 10x unlock. Personally I’m most excited to see crypto wallets fully integrated into LLMs one day. That will be a huge step towards a permissionless, digital economy. And today, this new access to reliable real-time data via increasingly intelligent LLMs will help lots more people make smart, informed decisions about crypto. It’s a great step forward! Aravind Srinivas and the team at Perplexity are amazing - I’m excited to be starting this journey with them.

Exciting update: Coinbase has partnered with Perplexity to help traders get access to real-time trusted crypto data/info for better decision making. The first stage is going live today, and there's more to come: Phase 1 (now): Perplexity is now ingesting our market data, including COIN50, and using it to power market analysis. Users can double click into price moves to help make better informed trade decisions. The demo below shows what it looks like on Comet, Perplexity’s new browser. Also, the Perplexity team shared that just as many users are looking up crypto as equities, which is a cool stat. Crypto is going mainstream. Phase 2 (soon): Coinbase’s market data will be used in Perplexity’s responses to user queries. Traders will be able to monitor market activity, screen for trade ideas, and analyze token-specific moves in an AI-powered conversational interface. This integration was made seamless by our Coinbase Developer Platform🛡️ platform. Love to see more use cases here! I expect enhanced crypto functionality will be a catalyst for AI to achieve another 10x unlock. Personally I’m most excited to see crypto wallets fully integrated into LLMs one day. That will be a huge step towards a permissionless, digital economy. And today, this new access to reliable real-time data via increasingly intelligent LLMs will help lots more people make smart, informed decisions about crypto. It’s a great step forward! Aravind Srinivas and the team at Perplexity are amazing - I’m excited to be starting this journey with them.

Brian Armstrong

813,181 просмотров • 1 год назад

I'm excited to introduce my AI Exploratory Data Analysis (EDA) Agent that built EDA reports, performs correlation analysis, and missing data analysis in 20 seconds. Today, I'll share with you how to automate creating EDA reports with the AI EDA Agent, which is available on GitHub. We'll create an EDA Agent focusing on a Customer Churn Problem. I'll guide you through setting up the EDA Agent, creating EDA reports, and analyzing the findings. This AI agent is a huge time-saver! Table of Contents: 00:00 Introduction to EDA Tools Agent 01:20 Get the AI Data Science Team 04:49 Create the EDA Tools Agent 06:35 Using the EDA Tools Agent for Missing Data and Correlation Funnels 10:00 Get SweetViz EDA Reports with AI 12:00 8-Week AI Bootcamp Github to AI Data Science Team (Army of Copilots): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, February 12th, I'm sharing one of my best AI Projects: Business Intelligence with AI Register here (1570+ registered):

I'm excited to introduce my AI Exploratory Data Analysis (EDA) Agent that built EDA reports, performs correlation analysis, and missing data analysis in 20 seconds. Today, I'll share with you how to automate creating EDA reports with the AI EDA Agent, which is available on GitHub. We'll create an EDA Agent focusing on a Customer Churn Problem. I'll guide you through setting up the EDA Agent, creating EDA reports, and analyzing the findings. This AI agent is a huge time-saver! Table of Contents: 00:00 Introduction to EDA Tools Agent 01:20 Get the AI Data Science Team 04:49 Create the EDA Tools Agent 06:35 Using the EDA Tools Agent for Missing Data and Correlation Funnels 10:00 Get SweetViz EDA Reports with AI 12:00 8-Week AI Bootcamp Github to AI Data Science Team (Army of Copilots): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, February 12th, I'm sharing one of my best AI Projects: Business Intelligence with AI Register here (1570+ registered):

Matt Dancho (Business Science)

31,079 просмотров • 1 год назад

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

Andrew Ng

142,010 просмотров • 1 год назад

$PRIVIX x $SPECT – Verified Partner Announcement SPECTRE AI is an advanced on‑chain research platform built to simplify how traders and investors navigate crypto. At its core is the Spectre AI On‑Chain Search Engine, which combines live blockchain data with integrated sentiment tracking and technical analysis - giving users deep insight into market movements, project health, and emerging trends. As a Verified Partner, Privix will enjoy full visibility across Spectre AI, including real‑time data, on‑chain metrics, and integrated tracking - cementing its role as a leader in the privacy narrative.

$PRIVIX x $SPECT – Verified Partner Announcement SPECTRE AI is an advanced on‑chain research platform built to simplify how traders and investors navigate crypto. At its core is the Spectre AI On‑Chain Search Engine, which combines live blockchain data with integrated sentiment tracking and technical analysis - giving users deep insight into market movements, project health, and emerging trends. As a Verified Partner, Privix will enjoy full visibility across Spectre AI, including real‑time data, on‑chain metrics, and integrated tracking - cementing its role as a leader in the privacy narrative.

Privix

14,883 просмотров • 1 год назад

OptimAI Search just got better. Refreshed UI. Deeper research. More powerful context. Search across public + social web, process hundreds to thousands of real-time data points, and get structured, actionable outputs. Live at: OptimAI is currently the #1 AI on BNB Chain DappBay. Now integrated with Agent Marketplace: create your own agent, inject domain knowledge, and publish it for others to use and build on. Free to use with daily refresh credits. 💡Soon, builders will also be able to use OPI points for premium access and monetize agents that create real value for the community.

OptimAI Search just got better. Refreshed UI. Deeper research. More powerful context. Search across public + social web, process hundreds to thousands of real-time data points, and get structured, actionable outputs. Live at: OptimAI is currently the #1 AI on BNB Chain DappBay. Now integrated with Agent Marketplace: create your own agent, inject domain knowledge, and publish it for others to use and build on. Free to use with daily refresh credits. 💡Soon, builders will also be able to use OPI points for premium access and monetize agents that create real value for the community.

OptimAI Network

15,707 просмотров • 2 месяцев назад

SuperVerse x Spectre AI Collaboration We are excited to announce our collaboration and token integration with $SUPER – SuperVerse, one of the largest and most influential Web3 communities in the space. SuperVerse is the definitive home for Web3 gaming innovation. As part of this collaboration, SUPER token holders with 1,500 tokens or more will gain exclusive access to the Spectre AI On-Chain Search Engine, providing powerful tools and insights to navigate the crypto landscape. In addition to the On-Chain Search Engine, SUPER holders will soon have access to a range of advanced Spectre AI utilities: - X Bubbles – Visual mapping of project and influencer connections in the crypto space - X Charts – Advanced charting tools with deep market analytics - Monarch AI Agent – A real-time AI-powered chat environment with integrated research tools - AI DexScan – An AI-infused decentralized exchange with real-time analytics directly embedded alongside chart data This collaboration marks the convergence of Web3 gaming and AI-driven blockchain intelligence. #gaming #ai #web $SUPER $SPECT

SuperVerse x Spectre AI Collaboration We are excited to announce our collaboration and token integration with $SUPER – SuperVerse, one of the largest and most influential Web3 communities in the space. SuperVerse is the definitive home for Web3 gaming innovation. As part of this collaboration, SUPER token holders with 1,500 tokens or more will gain exclusive access to the Spectre AI On-Chain Search Engine, providing powerful tools and insights to navigate the crypto landscape. In addition to the On-Chain Search Engine, SUPER holders will soon have access to a range of advanced Spectre AI utilities: - X Bubbles – Visual mapping of project and influencer connections in the crypto space - X Charts – Advanced charting tools with deep market analytics - Monarch AI Agent – A real-time AI-powered chat environment with integrated research tools - AI DexScan – An AI-infused decentralized exchange with real-time analytics directly embedded alongside chart data This collaboration marks the convergence of Web3 gaming and AI-driven blockchain intelligence. #gaming #ai #web $SUPER $SPECT

SPECTRE AI

102,766 просмотров • 1 год назад

Build your own Gen AI Agents with Salesforce’s new Agentforce platform—anyone can create, test, and scale custom Gen AI Agents using our unique Einstein1 low-code platform—deeply integrated with our Einstein1 platform. The future of AI Agent and App Dev is in your hands! With Agentforce, your custom AI agents: - Achieve greater accuracy by securely grounding in all your enterprise data with Data Cloud - Take action seamlessly by leveraging Flow automations - Connect effortlessly to your enterprise APIs through MuleSoft - Test with confidence in Sandboxes before deployment - Use in your apps, web, social, and Slack. Humans with AI drive customer success, together. Now everyone is an Einstein. More to come at Dreamforce 2024! 💙

Build your own Gen AI Agents with Salesforce’s new Agentforce platform—anyone can create, test, and scale custom Gen AI Agents using our unique Einstein1 low-code platform—deeply integrated with our Einstein1 platform. The future of AI Agent and App Dev is in your hands! With Agentforce, your custom AI agents: - Achieve greater accuracy by securely grounding in all your enterprise data with Data Cloud - Take action seamlessly by leveraging Flow automations - Connect effortlessly to your enterprise APIs through MuleSoft - Test with confidence in Sandboxes before deployment - Use in your apps, web, social, and Slack. Humans with AI drive customer success, together. Now everyone is an Einstein. More to come at Dreamforce 2024! 💙

Marc Benioff

70,971 просмотров • 1 год назад

X just made itself plug straight into AI tools with MCP servers. Your agents can now search and post on X directly. Not only read about it. Grok Build, Cursor, Claude, VS Code. All in. What you get: * X MCP; search posts, trends, bookmarks, even publish Articles * Docs MCP; API docs inside your workflow, no tab switching Setup is straightforward: * Go to create an X app * Enable OAuth 2.0; required for authentication * Add redirect URI; * Copy your CLIENT_ID and CLIENT_SECRET * Plug those into your MCP client or config * Run the setup commands; connect X MCP and Docs MCP * Log in once via browser; approve access * Verify; run grok mcp doctor xapi and grok mcp list Log in once. Done. Your workflow now includes X itself. X

X just made itself plug straight into AI tools with MCP servers. Your agents can now search and post on X directly. Not only read about it. Grok Build, Cursor, Claude, VS Code. All in. What you get: * X MCP; search posts, trends, bookmarks, even publish Articles * Docs MCP; API docs inside your workflow, no tab switching Setup is straightforward: * Go to create an X app * Enable OAuth 2.0; required for authentication * Add redirect URI; * Copy your CLIENT_ID and CLIENT_SECRET * Plug those into your MCP client or config * Run the setup commands; connect X MCP and Docs MCP * Log in once via browser; approve access * Verify; run grok mcp doctor xapi and grok mcp list Log in once. Done. Your workflow now includes X itself. X

Mario Nawfal

59,976 просмотров • 19 дней назад

🔮 MCP INTEGRATION NOW LIVE ON OPENSERV This is bigger than most realize. We're not just adding a feature - we're enabling a fundamentally new paradigm for agent infrastructure. Before MCP: agents trapped in walled gardens, limited by what you explicitly feed them. After MCP: agents that can access 10K+ tools, interact with your existing systems, and truly operate in your digital world. Think about this: -Every integration used to require custom code -Every data source needed specific formatting -Every agent had to be built for specific tools MCP eliminates all of that. One standard to connect any agent to any tool. This isn't just convenience - it's the unlock that makes agents actually useful in the real world. OpenServ + MCP = AI teams that can genuinely get things done, not just talk about doing them. This is the breakthrough that turns agents from toys into tools.

🔮 MCP INTEGRATION NOW LIVE ON OPENSERV This is bigger than most realize. We're not just adding a feature - we're enabling a fundamentally new paradigm for agent infrastructure. Before MCP: agents trapped in walled gardens, limited by what you explicitly feed them. After MCP: agents that can access 10K+ tools, interact with your existing systems, and truly operate in your digital world. Think about this: -Every integration used to require custom code -Every data source needed specific formatting -Every agent had to be built for specific tools MCP eliminates all of that. One standard to connect any agent to any tool. This isn't just convenience - it's the unlock that makes agents actually useful in the real world. OpenServ + MCP = AI teams that can genuinely get things done, not just talk about doing them. This is the breakthrough that turns agents from toys into tools.

OpenServ

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