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Wazabi AI MCP now supports Openτensor Foundaτion subnet creation (beta). Quote burn cost → prepare subnet → sign with your wallet → live on-chain. All from Claude Cursor or any MCP-compatible AI IDE. No CLI scripts. Inviting the Bittensor community to test it out and give us feedback. Mainnet... show more

Wazabi AI

4,922 subscribers

11,227 次观看 • 5 个月前 •via X (Twitter)

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How to connect Agent Wallet to your AI agent. → MCP: add our MCP server to Claude, sign in with District Pass. → CLI: install the fdx CLI, sign up or log in via email OTP, run in Claude Code. Now your AI agent doesn't just talk. It pays, swaps, and earns. Get Started →

How to connect Agent Wallet to your AI agent. → MCP: add our MCP server to Claude, sign in with District Pass. → CLI: install the fdx CLI, sign up or log in via email OTP, run in Claude Code. Now your AI agent doesn't just talk. It pays, swaps, and earns. Get Started →

Finance District

18,268 次观看 • 2 个月前

Your AI can now publish all your social media posts. Introducing the Social0 MCP Server. Connect Claude, Cursor, OpenClaw, Hermes, or any MCP - compatible AI assistant and simply ask: Would love your feedback ❤️ Resources down below👇 Example usecases : • "Publish this post to LinkedIn." • "Schedule this thread for tomorrow at 9 AM." • "Show my scheduled posts." No dashboard required. Just natural language.

Your AI can now publish all your social media posts. Introducing the Social0 MCP Server. Connect Claude, Cursor, OpenClaw, Hermes, or any MCP - compatible AI assistant and simply ask: Would love your feedback ❤️ Resources down below👇 Example usecases : • "Publish this post to LinkedIn." • "Schedule this thread for tomorrow at 9 AM." • "Show my scheduled posts." No dashboard required. Just natural language.

Abhishek B R

49,601 次观看 • 1 个月前

You can now give AI agents the ability to interact with ANY website. This new MCP server lets Claude, Cursor, or any AI agent navigate, click, fill forms, and extract data from sites without APIs. Just connect it and give it a URL + goal. Here’s how to set it up:

You can now give AI agents the ability to interact with ANY website. This new MCP server lets Claude, Cursor, or any AI agent navigate, click, fill forms, and extract data from sites without APIs. Just connect it and give it a URL + goal. Here’s how to set it up:

Alvaro Cintas

77,654 次观看 • 8 个月前

Ship your API to every MCP client in minutes 🚢 Upload your OpenAPI spec to Stainless → Generate an MCP Server → Your users can access your API in Claude Code Community, Cursor, and VS Code Watch me use the Replicate MCP Server to create a logo for my upcoming AI Podcast Generator, all with a single prompt! Now any MCP client can generate images and videos directly

Adam Anzuoni

22,422 次观看 • 1 年前

Introducing Wazabi AI The gateway to Agentic Capital Markets. 💰 The first AI-native token launch layer for vibecoders. Turn your prompts, tools, agents, and apps into live tokens. Build inside your favorite AI IDE: Claude @ChatGPTapp Cursor Replit ⠕ Windsurf (retired) Then launch without leaving your editor. Build → Tokenize → Trade From serious AI products to viral internet experiments, Wazabi turns what you create into onchain assets that are owned, traded, and discovered onchain. 👉 Now live on Solana Base BNB Chain Ethereum

Introducing Wazabi AI The gateway to Agentic Capital Markets. 💰 The first AI-native token launch layer for vibecoders. Turn your prompts, tools, agents, and apps into live tokens. Build inside your favorite AI IDE: Claude @ChatGPTapp Cursor Replit ⠕ Windsurf (retired) Then launch without leaving your editor. Build → Tokenize → Trade From serious AI products to viral internet experiments, Wazabi turns what you create into onchain assets that are owned, traded, and discovered onchain. 👉 Now live on Solana Base BNB Chain Ethereum

Wazabi AI

40,547 次观看 • 5 个月前

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Shizzy

18,207 次观看 • 4 个月前

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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

142,137 次观看 • 1 年前

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Base just launched something that changes how AI agents interact with blockchain. It's called Base MCP. Here's what it actually does 🧵 Base MCP is an open-source MCP server built by Coinbase for the Base network. It connects AI clients, Claude, ChatGPT, to Base Network. You type a natural language prompt. The agent prepares the transaction. You approve it. Done. Your keys never touch the server. Nothing moves on-chain without your explicit sign-off. you can use it to Track portfolio balances across Base and any Base Account supported EVM chain. View transaction history. Send funds Swap tokens Use supported apps and protocols on Base through skill plugins Pay for x402 enabled services To test it, I connected it to BlockLottery, an on-chain lottery protocol with NFT tickets and VRF-powered draws. Two questions to the agent: → "What lotteries are open right now?" Queried the factory contract. Matched the partner dashboard exactly. → "Check this wallet's portfolio." Scanned the chain, handled RPC limits, returned a clean breakdown. Spot on. This is what crypto-native AI tooling looks like. Not hype. An actual working MCP server, launched May 26, 2026. Base MCP docs: BlockLottery: Base Build Base #blockchain #AI #Web3

BlockLottery

11,671 次观看 • 2 个月前

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 次观看 • 1 个月前

We’re excited to launch OpenMemory MCP, a private memory for MCP-compatible clients powered by mem0 Today, most AI assistants and dev tools operate without memory. You plan your roadmap in Claude, implement tasks in Cursor, but none of them know what the other did. Each tool operates in isolation, and your context disappears as soon as the session ends. OpenMemory MCP solves this. Built on the open Model Context Protocol (MCP), OpenMemory MCP runs 100% locally and provides a persistent, portable memory layer for all your AI tools. It enables agents and assistants to read from and write to a shared memory, securely and privately. Key capabilities: ✅Works across MCP clients like Cursor, Claude Desktop, Windsurf, Cline and more ✅Provides standardized memory operations (add_memories, search_memory, list_memories, delete_all_memories) ✅Stores data on your machine, fully private ✅Offers a centralized dashboard for visibility and control ✅Simple Docker-based setup with no vendor lock-in If you're building on MCP, OpenMemory MCP is the easiest way to add persistent, private memory to your clients with zero cloud dependencies and full local control. We’ve put together a short demo to show how it works Check it out in the links below 👇

We’re excited to launch OpenMemory MCP, a private memory for MCP-compatible clients powered by mem0 Today, most AI assistants and dev tools operate without memory. You plan your roadmap in Claude, implement tasks in Cursor, but none of them know what the other did. Each tool operates in isolation, and your context disappears as soon as the session ends. OpenMemory MCP solves this. Built on the open Model Context Protocol (MCP), OpenMemory MCP runs 100% locally and provides a persistent, portable memory layer for all your AI tools. It enables agents and assistants to read from and write to a shared memory, securely and privately. Key capabilities: ✅Works across MCP clients like Cursor, Claude Desktop, Windsurf, Cline and more ✅Provides standardized memory operations (add_memories, search_memory, list_memories, delete_all_memories) ✅Stores data on your machine, fully private ✅Offers a centralized dashboard for visibility and control ✅Simple Docker-based setup with no vendor lock-in If you're building on MCP, OpenMemory MCP is the easiest way to add persistent, private memory to your clients with zero cloud dependencies and full local control. We’ve put together a short demo to show how it works Check it out in the links below 👇

Taranjeet

472,126 次观看 • 1 年前

Connect Claude, ChatGPT, Cursor, Perplexity, or Codex to Caffeine. The Caffeine MCP server is live. One URL. One browser sign-in. Describe what you want built from inside your AI tool - it sends the prompt straight to Caffeine. Get updates on what's being built without leaving your conversation. When it's done, ask your AI to review it. It reads the Caffeine conversation directly, so it has full context on every decision.

Connect Claude, ChatGPT, Cursor, Perplexity, or Codex to Caffeine. The Caffeine MCP server is live. One URL. One browser sign-in. Describe what you want built from inside your AI tool - it sends the prompt straight to Caffeine. Get updates on what's being built without leaving your conversation. When it's done, ask your AI to review it. It reads the Caffeine conversation directly, so it has full context on every decision.

caffeine

14,695 次观看 • 2 个月前

Live from EthCC - Ethereum Community Conference: Introducing Cytonic AI! Build complete on-chain projects with AI agents - no coding or dev team required. From smart contracts to frontend, our agents do it all. You bring the vision. Cytonic AI builds it. Sign up for early access →

Live from EthCC - Ethereum Community Conference: Introducing Cytonic AI! Build complete on-chain projects with AI agents - no coding or dev team required. From smart contracts to frontend, our agents do it all. You bring the vision. Cytonic AI builds it. Sign up for early access →

Quantum

311,068 次观看 • 1 年前

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

32,332 次观看 • 10 个月前

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🤯 Building computer-vision applications is never going to be the same again. As Andrej Karpathy says, "English is going to be the new programming-language", and we just made that happen for programming visual AI. 👨‍💻 This past month, the VLM Run team cooked up something magical that I'm especially proud of - a natural-language interface to build and run computer vision workflows (object-detection, OCR, parsing, and so much more) – all via our new VLM Run MCP server. 🔌 It works with any MCP-compatible AI agent (Claude, OpenAI, Cursor, etc.) and abstracts complex visual workflows into simple English commands. No need to write Python or fiddle with bespoke computer-vision code – just say what you want your agent to do, and it does it. Here’s a glimpse into what you can build today ( ☑️ Image AI agents – run detection, tagging, blurring, cropping, and more traditional CV tasks with English ☑️ Document AI agents – extract totals from invoices, search visual content, or act on what’s found ☑️ Video AI agents – understand scene content, trim clips, add subtitles, and create ready-to-share edits ☑️ And best-of-all, it's fully programmable with English. 🧑‍🍳 MCP Showcase: 📚 MCP Cookbooks: 📚 MCP Docs: #computervision #ai #agents #llm #vlm #mcp #vibecoding #genai

Sudeep Pillai

17,789 次观看 • 1 年前

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Yee-haw! We just shipped two new MCP servers and they’re now live in Anthropic’s official MCP Registry. With the help of Coinbase 🛡️, x402 Bazaar can be utilized by your agents to discover, pay for, and call any x402 service in USDC. Settled on-chain 🤠 And hold onto your hats, one of our most requested features just went live. 3D Studio MCP turns text based prompts and images into 3D models. Early access is available right now for developers in the GitHub repo and on NPM, with full launch coming soon to Give your 3D AI agents some real spendin’ money. All settled on-chain, no middlemen, no funny business.

three.ws

137,444 次观看 • 2 个月前

AI can write your code. But who’s making sure it’s actually good? CodeRabbit now gives you free, high-quality AI code reviews, right inside your IDE. Supports and integrates with top AI agents like GitHub Copilot, Claude, Codex, Cursor AI, and more. What makes it different: • No subscription needed • Context-aware reviews • “Fix with AI” feature sends feedback directly to your AI coding agent • One-click commit suggestions • 10M+ PRs reviewed, 50K+ installs on GitHub Marketplace CodeRabbit doesn’t just point out issues. It helps you fix them fast.

AI can write your code. But who’s making sure it’s actually good? CodeRabbit now gives you free, high-quality AI code reviews, right inside your IDE. Supports and integrates with top AI agents like GitHub Copilot, Claude, Codex, Cursor AI, and more. What makes it different: • No subscription needed • Context-aware reviews • “Fix with AI” feature sends feedback directly to your AI coding agent • One-click commit suggestions • 10M+ PRs reviewed, 50K+ installs on GitHub Marketplace CodeRabbit doesn’t just point out issues. It helps you fix them fast.

Rohit Ghumare

32,176 次观看 • 1 年前

You want to analyze any TikTok account live & in seconds with AI? We just built it. introducing the [viral. app] TikTok MCP server now, you can - get all account details of any account - see all public video statistics - create comparison tables - run engagement analysis - and much more! This is the most powerful TikTok AI on the market and you know what? We'll give out access for everyone interested for free! 🤯 Just comment "MCP" and I'll dm you the access guide!

You want to analyze any TikTok account live & in seconds with AI? We just built it. introducing the [viral. app] TikTok MCP server now, you can - get all account details of any account - see all public video statistics - create comparison tables - run engagement analysis - and much more! This is the most powerful TikTok AI on the market and you know what? We'll give out access for everyone interested for free! 🤯 Just comment "MCP" and I'll dm you the access guide!

Mike ✦ viral.app

28,676 次观看 • 1 年前

I'm still picking my jaw off the floor with this MCP update: Postman will now automatically build an MCP server for an API. Automatically! You select your API and the requests you want to include, and Potman will generate a Zip file with everything you need. In collaboration with Postman, I recorded a video showing how I generated an MCP server for the Google Maps API. It's glorious! Also, and before I forget: You can now test any MCP server with your Postman application. They built MCP right in, so now you can: • Connect to an MCP server • List out all of the available tools • Test any of the tools This is a 10x boost for the MCP ecosystem. If you've tried the default MCP debugger, you'll understand how huge a deal it is that you can do all of that from Postman now. Go here to give this a try:

I'm still picking my jaw off the floor with this MCP update: Postman will now automatically build an MCP server for an API. Automatically! You select your API and the requests you want to include, and Potman will generate a Zip file with everything you need. In collaboration with Postman, I recorded a video showing how I generated an MCP server for the Google Maps API. It's glorious! Also, and before I forget: You can now test any MCP server with your Postman application. They built MCP right in, so now you can: • Connect to an MCP server • List out all of the available tools • Test any of the tools This is a 10x boost for the MCP ecosystem. If you've tried the default MCP debugger, you'll understand how huge a deal it is that you can do all of that from Postman now. Go here to give this a try:

Santiago

215,882 次观看 • 1 年前

I handed Claude a creator contract clause and asked for a vetted human expert to check it......without leaving the chat. Tendem now plugs into Claude, ChatGPT, Cursor and Codex via MCP. You mention Tendem, approve the quote, and the work comes back in the same conversation. The AI caught the obvious risks....uncapped liability, no kill fee, payment a client could withhold on a whim. Then a real expert does a second pass on the same clauses. AI scopes it. A human backs it. No new tab, no copy-paste. Toloka Tendem AI Live today →

I handed Claude a creator contract clause and asked for a vetted human expert to check it......without leaving the chat. Tendem now plugs into Claude, ChatGPT, Cursor and Codex via MCP. You mention Tendem, approve the quote, and the work comes back in the same conversation. The AI caught the obvious risks....uncapped liability, no kill fee, payment a client could withhold on a whim. Then a real expert does a second pass on the same clauses. AI scopes it. A human backs it. No new tab, no copy-paste. Toloka Tendem AI Live today →

Ace

16,900 次观看 • 2 个月前