正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

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... show more

Adam Anzuoni

1,240 subscribers

22,422 次观看 • 1 年前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

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 ↓

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 次观看 • 1 年前

AI Agents can now connect to 100,000+ APIs instantly. Postman's AI Agent builder can turn any API into an MCP server in seconds without writing a single line of Code. You can use it in Claude, Cursor, Windsurf and other AI tools.

AI Agents can now connect to 100,000+ APIs instantly. Postman's AI Agent builder can turn any API into an MCP server in seconds without writing a single line of Code. You can use it in Claude, Cursor, Windsurf and other AI tools.

Shubham Saboo

79,818 次观看 • 1 年前

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

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

142,137 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

The Dev Mode MCP Server is now available in beta. Access Dev Mode data directly in your agentic coding workflow → VS Code with Copilot → Cursor → Windsurf → Claude Code

The Dev Mode MCP Server is now available in beta. Access Dev Mode data directly in your agentic coding workflow → VS Code with Copilot → Cursor → Windsurf → Claude Code

Figma

253,114 次观看 • 1 年前

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. 👉

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

42,426 次观看 • 3 个月前

AI Agents can now access your tools with Composio MCP. You can connect Claude, Cursor, Windsurf to 250+ apps and 20,000+ API actions while skipping complex authentication setup. All of this without writing a single line of Python Code.

AI Agents can now access your tools with Composio MCP. You can connect Claude, Cursor, Windsurf to 250+ apps and 20,000+ API actions while skipping complex authentication setup. All of this without writing a single line of Python Code.

Shubham Saboo

72,358 次观看 • 1 年前

MCP server now supports multi-file Agent Skills 🔥 → search_skills: find community skills → get_skill: download to .claude/skills/ → save_skill: backup your skills to your account Works with any MCP client. Self-host for private use ⚡ 🎥👇

MCP server now supports multi-file Agent Skills 🔥 → search_skills: find community skills → get_skill: download to .claude/skills/ → save_skill: backup your skills to your account Works with any MCP client. Self-host for private use ⚡ 🎥👇

fatih kadir akın

15,754 次观看 • 7 个月前

Good news for devs working in Visual Studio Code! The MongoDB MCP Server connects your MongoDB data to AI clients, such as GitHub Copilot in VS Code. Now you can ask for collection schemas and data samples, manage users and access, and generate queries all using natural language, right from your editor. Give it a try 👉

Good news for devs working in Visual Studio Code! The MongoDB MCP Server connects your MongoDB data to AI clients, such as GitHub Copilot in VS Code. Now you can ask for collection schemas and data samples, manage users and access, and generate queries all using natural language, right from your editor. Give it a try 👉

MongoDB

20,070 次观看 • 1 年前

YOU CAN NOW FIND REDDIT LEADS DIRECTLY INSIDE OF CLAUDE search any subreddit for people actively looking for what you built. filter by buying intent. get direct links to every post. reply or DM immediately. one MCP and a 30 second setup. works with Claude/Claude Code, ChatGPT, Cursor, VS Code, and any MCP client.

YOU CAN NOW FIND REDDIT LEADS DIRECTLY INSIDE OF CLAUDE search any subreddit for people actively looking for what you built. filter by buying intent. get direct links to every post. reply or DM immediately. one MCP and a 30 second setup. works with Claude/Claude Code, ChatGPT, Cursor, VS Code, and any MCP client.

Om Patel

30,984 次观看 • 5 个月前

Google has released its own MCP server for Stitch, which can be used to generate UI designs on the fly and fetch code directly from your IDE.

Google has released its own MCP server for Stitch, which can be used to generate UI designs on the fly and fetch code directly from your IDE.

🚨 AI News | TestingCatalog

110,686 次观看 • 7 个月前

MCP meets Ollama! In this video you'll learn how build a 100% local MCP client that you can connect to any MCP server. 100% open-source code, step-by-step guide:

MCP meets Ollama! In this video you'll learn how build a 100% local MCP client that you can connect to any MCP server. 100% open-source code, step-by-step guide:

Akshay 🚀

92,848 次观看 • 1 年前

BudgetPixel MCP is now available. Connect it with Claude, GPT, Cursor, OpenClaw, or Hermes to generate both images and videos directly inside your favorite AI tools and workflows. Create without constantly switching platforms.

BudgetPixel MCP is now available. Connect it with Claude, GPT, Cursor, OpenClaw, or Hermes to generate both images and videos directly inside your favorite AI tools and workflows. Create without constantly switching platforms.

BudgetPixel AI

147,726 次观看 • 1 个月前

Your dev experience now has full MCP support Use the the Shopify Dev MCP server to set up, code, and validate your app Demo with Darius Gai

Your dev experience now has full MCP support Use the the Shopify Dev MCP server to set up, code, and validate your app Demo with Darius Gai

Shopify Developers

23,238 次观看 • 8 个月前

Here's how to deploy your own MCP server in 30 seconds: 1. Remix the Replit template 2. Prompt Agent "create a server that does xyz" 3. Select "Publish" Voila - a streamable HTTP server deployed with API key auth Connect to your sever in your client of choice

Here's how to deploy your own MCP server in 30 seconds: 1. Remix the Replit template 2. Prompt Agent "create a server that does xyz" 3. Select "Publish" Voila - a streamable HTTP server deployed with API key auth Connect to your sever in your client of choice

matt palmer

80,137 次观看 • 10 个月前

You can connect your Supabase database via MCP server to Cursor! The Cursor agent can get the schema and any data from your database through the official Postgres MCP server! This helps Cursor understand your database better when it needs to modify it to add a new feature!

You can connect your Supabase database via MCP server to Cursor! The Cursor agent can get the schema and any data from your database through the official Postgres MCP server! This helps Cursor understand your database better when it needs to modify it to add a new feature!

Tyler Shukert

203,451 次观看 • 1 年前