Загрузка видео...

Не удалось загрузить видео

На главную

Introducing SperaxOS Plugin Store Browse & install plugins right from the chat. Choose from many of your favorite apps, plugins, and tools or bring your own custom MCP Servers. Watch how anyone can import any MCP Server into SperaxOS chat in under 1 minute.

SperaxUSD's profile picture

Sperax | SperaxOS

35,845 subscribers

22,924 просмотров • 3 месяцев назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Introducing Vapi's MCP client! Your agent can now call tools from any MCP server (like Zapier or Composio), live in conversations. Access hundreds of tools without any custom integrations. Examples and docs👇
2:17

Introducing Vapi's MCP client! Your agent can now call tools from any MCP server (like Zapier or Composio), live in conversations. Access hundreds of tools without any custom integrations. Examples and docs👇

Vapi

43,181 просмотров • 1 год назад

Introducing the official Supabase MCP Server! Supabase MCP Server allows you to read and write to your database, create new projects, apply migrations, and more, right from your favorite AI tools! You can start using them in Cursor or Windsurf today!
1:47

Introducing the official Supabase MCP Server! Supabase MCP Server allows you to read and write to your database, create new projects, apply migrations, and more, right from your favorite AI tools! You can start using them in Cursor or Windsurf today!

Supabase

193,105 просмотров • 1 год назад

Claude Code on desktop now supports local plugins Install custom slash commands, skills, and MCP servers from the marketplace. They sync automatically across desktop and CLI!
0:22

Claude Code on desktop now supports local plugins Install custom slash commands, skills, and MCP servers from the marketplace. They sync automatically across desktop and CLI!

Lydia Hallie ✨

118,601 просмотров • 4 месяцев назад

Install Agent Plugins in VS Code to add skills, commands, MCP servers, hooks, and more ⚡
1:21

Install Agent Plugins in VS Code to add skills, commands, MCP servers, hooks, and more ⚡

Visual Studio Code

33,797 просмотров • 1 месяц назад

MCP connectors are now available in Basedash. Basedash already reads from your databases and SaaS tools. Now it can act on them too. Connect any MCP server (Linear, HubSpot, Slack, Resend, Notion, GitHub, your own internal one) and the Basedash agent gets new tools it can use right inside chat. Try it today.
0:29

MCP connectors are now available in Basedash. Basedash already reads from your databases and SaaS tools. Now it can act on them too. Connect any MCP server (Linear, HubSpot, Slack, Resend, Notion, GitHub, your own internal one) and the Basedash agent gets new tools it can use right inside chat. Try it today.

Basedash

11,138 просмотров • 1 месяц назад

⚡️ Plugins are here! Unleash new Framer powers. Introducing new canvas tools and seamless integrations with your favorite apps. Explore all launch Plugins below.
0:21

⚡️ Plugins are here! Unleash new Framer powers. Introducing new canvas tools and seamless integrations with your favorite apps. Explore all launch Plugins below.

Framer

99,633 просмотров • 1 год назад

Warp now has one-click MCP install. Install servers from: - Warp's curated list of servers - MCPs shared by your teammates - Any JSON snippet
2:01

Warp now has one-click MCP install. Install servers from: - Warp's curated list of servers - MCPs shared by your teammates - Any JSON snippet

Warp

13,838 просмотров • 6 месяцев назад

Introducing Base MCP Your agent's new gateway to Base → Connect an agent to your Base Account → Enable it to swap, trade, and manage your portfolio → Use plugins from leading apps on Base The next stage of the agentic onchain economy
0:31

Introducing Base MCP Your agent's new gateway to Base → Connect an agent to your Base Account → Enable it to swap, trade, and manage your portfolio → Use plugins from leading apps on Base The next stage of the agentic onchain economy

Base

988,412 просмотров • 24 дней назад

Unreal Engine 5.8 ships today with experimental MCP server support: Your sources, your pipeline and your workflow—simply configure the MCP plugin and connect to any agent. Get familiar with the MCP server and the PCG Primitive Plugin today and see what teams can build together:
1:00

Unreal Engine 5.8 ships today with experimental MCP server support: Your sources, your pipeline and your workflow—simply configure the MCP plugin and connect to any agent. Get familiar with the MCP server and the PCG Primitive Plugin today and see what teams can build together:

Unreal Engine

2,894,750 просмотров • 2 дней 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!
2:43

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

141,952 просмотров • 1 год назад

Postman will conduct hands-on workshops where you will learn how to build agent-ready APIs 👉 Here's how to generate MCP servers in seconds from APIs using Postman. - Go to Postman MCP article: - Choose Create AI agents - Choose a Workspace or Collection and select your APIs. - Download and extract the zip file. - Open the file in VsCode or any other IDE. - Follow the Readme and make any necessary changes. - Finally Run Your MCP Server.
0:44

Postman will conduct hands-on workshops where you will learn how to build agent-ready APIs 👉 Here's how to generate MCP servers in seconds from APIs using Postman. - Go to Postman MCP article: - Choose Create AI agents - Choose a Workspace or Collection and select your APIs. - Download and extract the zip file. - Open the file in VsCode or any other IDE. - Follow the Readme and make any necessary changes. - Finally Run Your MCP Server.

Poonam Soni

44,320 просмотров • 1 год назад

Agent-in-the-browser unlocks superpowers. The magic really shines when you bring your own model, system prompts, and MCP tools into the mix. Hence, AgentBoard 🪄. Your models, keys, and settings. Integration with remote MCP servers and — this is where it gets really fun — ability to register and allow the agent to call custom ~WebMCP tools that execute in context of the page. Chrome Web Store: Code:
3:51

Agent-in-the-browser unlocks superpowers. The magic really shines when you bring your own model, system prompts, and MCP tools into the mix. Hence, AgentBoard 🪄. Your models, keys, and settings. Integration with remote MCP servers and — this is where it gets really fun — ability to register and allow the agent to call custom ~WebMCP tools that execute in context of the page. Chrome Web Store: Code:

Ilya Grigorik

22,940 просмотров • 8 месяцев назад

MCP, Vibe code, and Autonomous Computer-use AI agents are all the rage. 8 insane releases in the last 48 hours: 1. Vy AI agent sees your screen, understands your apps, and takes actions using your accounts and your tools. No plugins or setups. 100% free to try.
0:31

MCP, Vibe code, and Autonomous Computer-use AI agents are all the rage. 8 insane releases in the last 48 hours: 1. Vy AI agent sees your screen, understands your apps, and takes actions using your accounts and your tools. No plugins or setups. 100% free to try.

Unwind AI

74,437 просмотров • 1 год назад

Vite's new plugin registry is live! 🎉 Browse Vite ⚡, Rolldown, and Rollup plugins from the Vite team and the community. Filter by version compatibility to find plugins that work with your setup. And if you are a maintainer, you can add your plugin easily too
1:16

Vite's new plugin registry is live! 🎉 Browse Vite ⚡, Rolldown, and Rollup plugins from the Vite team and the community. Filter by version compatibility to find plugins that work with your setup. And if you are a maintainer, you can add your plugin easily too

VoidZero

24,291 просмотров • 2 месяцев назад

Install MCP servers in your workspace 🚀
0:29

Install MCP servers in your workspace 🚀

Visual Studio Code

93,959 просмотров • 6 месяцев назад

The official Venice MCP Server is live! 31 tools across every modality. Chat, image, video, audio, music, web search, and more. Works with your Hermes or OpenClaw agent, Claude Code, Cursor, Codex, or any MCP client. 👉
0:38

The official Venice MCP Server is live! 31 tools across every modality. Chat, image, video, audio, music, web search, and more. Works with your Hermes or OpenClaw agent, Claude Code, Cursor, Codex, or any MCP client. 👉

Sabrina

41,881 просмотров • 1 месяц назад

You can now connect your React application to any MCP server! And it only takes a single command: $ npx copilotkit@latest init -m MCP This is massive for anyone building React applications! Using the CopilotKit🪁 MCP Client Component, you can get an MCP Client chat component in your application and instant access to any MCP server out there! It doesn't get easier than this. Check out the link below for instructions on how to proceed ↓
0:43

You can now connect your React application to any MCP server! And it only takes a single command: $ npx copilotkit@latest init -m MCP This is massive for anyone building React applications! Using the CopilotKit🪁 MCP Client Component, you can get an MCP Client chat component in your application and instant access to any MCP server out there! It doesn't get easier than this. Check out the link below for instructions on how to proceed ↓

Santiago

39,944 просмотров • 1 год назад

Before you dismiss MCP, try building one first. Try it with a personal tool and plug it into your favorite IDE. You immediately start to see how insanely capable, useful and intelligent MCP can make your IDE. Watch me build a small MCP server to chat with AI papers within Windsurf:
10:31

Before you dismiss MCP, try building one first. Try it with a personal tool and plug it into your favorite IDE. You immediately start to see how insanely capable, useful and intelligent MCP can make your IDE. Watch me build a small MCP server to chat with AI papers within Windsurf:

elvis

79,869 просмотров • 1 год назад

Introducing the $COFFEE App & SDK - the versatile on-chain Agent infrastructure that allows anyone to build custom agents. Try it now: Any repo, language, framework, or plugin can now be added to agents. Build plugins, create agents, sell on our marketplace, and chat with Agents that can take on-chain actions. This is just the beginning. The foundation has been built. Together let’s integrate the powerful tools and plugins from the #Solana and #ETH ecosystems into the $COFFEE marketplace. We have some exciting plugins of popular agent repos we will be adding in the coming days and partnerships in the works. Stay tuned! ☕️ SDK and APIs to build custom, enterprise-grade agents:
2:07

Introducing the $COFFEE App & SDK - the versatile on-chain Agent infrastructure that allows anyone to build custom agents. Try it now: Any repo, language, framework, or plugin can now be added to agents. Build plugins, create agents, sell on our marketplace, and chat with Agents that can take on-chain actions. This is just the beginning. The foundation has been built. Together let’s integrate the powerful tools and plugins from the #Solana and #ETH ecosystems into the $COFFEE marketplace. We have some exciting plugins of popular agent repos we will be adding in the coming days and partnerships in the works. Stay tuned! ☕️ SDK and APIs to build custom, enterprise-grade agents:

Coffee - ai/acc ☕️

15,517 просмотров • 1 год назад

Introducing MCP client-side tooling🪁 Add an MCP client into your React application with a single command $ npx copilotkit@latest init -m MCP Chat with MCP severs inside your app and allow them to be tools for your in-app copilot. Documentation, demo & tutorial 🔗👇
1:51

Introducing MCP client-side tooling🪁 Add an MCP client into your React application with a single command $ npx copilotkit@latest init -m MCP Chat with MCP severs inside your app and allow them to be tools for your in-app copilot. Documentation, demo & tutorial 🔗👇

CopilotKit🪁

38,050 просмотров • 1 год назад