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Doom is now an MCP App 🎮 Waiting for the build in Visual Studio Code just got fun with your favorite arcade games! Runs on all MCP Apps hosts: Claude, goose, Postman, and more. My server pulls the games from the awesome Internet Archive. Check it out!

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Ido Salomon

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15,003 просмотров • 5 месяцев назад •via X (Twitter)

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I'm DYING for the next Visual Studio Code insiders release to come out already! Plugin support finally coming to Visual Studio Code with ability to contribute skills, commands, prompts, and MCP server definitions Supports Claude code and Copilot CLI style registries FYI - this is still an initial support lacking full on install command Thanks Connor Peet for brining us MCP and MCP apps and now this!!!
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I'm DYING for the next Visual Studio Code insiders release to come out already! Plugin support finally coming to Visual Studio Code with ability to contribute skills, commands, prompts, and MCP server definitions Supports Claude code and Copilot CLI style registries FYI - this is still an initial support lacking full on install command Thanks Connor Peet for brining us MCP and MCP apps and now this!!!

Oren Melamed

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I've been waiting for this. The Unified MCP is here! Rube is a universal MCP server to connect your AI agents to all *your* apps. Works with your favorite IDE, Claude Code, and other MCP clients. Watch it research YouTube vids → generate a full content strategy doc. Insane!
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I've been waiting for this. The Unified MCP is here! Rube is a universal MCP server to connect your AI agents to all *your* apps. Works with your favorite IDE, Claude Code, and other MCP clients. Watch it research YouTube vids → generate a full content strategy doc. Insane!

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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:
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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:

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215,727 просмотров • 1 год назад

The power of Perplexity right at your fingertips, with Visual Studio Code + the Perplexity MCP server in agent mode ✨
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The power of Perplexity right at your fingertips, with Visual Studio Code + the Perplexity MCP server in agent mode ✨

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Meet Higgsfield Games. For the first time, build and deploy multiplayer games from one prompt, in any genre, 2D or 3D, with best-in-class characters, props, and settings generated by Higgsfield MCP. Powered by Claude Fable 5. Try on Claude via MCP and on our Supercomputer.
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Meet Higgsfield Games. For the first time, build and deploy multiplayer games from one prompt, in any genre, 2D or 3D, with best-in-class characters, props, and settings generated by Higgsfield MCP. Powered by Claude Fable 5. Try on Claude via MCP and on our Supercomputer.

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939,071 просмотров • 1 месяц назад

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Bring Bitcoin and Lightning Network capabilities to your favorite LLM client through the new ZBD ZBD MCP Server 🎉 Useful for creating all kinds of workflows and automations with your favorite MCP-compatible hosts such as Anthropic's Claude or Cursor Check the comment below on how to set it up for yourself, and begin using natural language to send and receive global Bitcoin payments at the speed of the internet 🌎

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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!
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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!

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In case you missed it, earlier this week we launched "MCP: Build Rich-Context AI Apps with Anthropic." Enroll now and: ✅ Explore how MCP standardizes access to tools and data for AI applications, its underlying architecture, and how it simplifies the integration of new tools and connections to external systems (e.g., GitHub repos, Google Docs, local files). ✅ Build and deploy an MCP server that provides tools, resources, and prompts, and add it to the configuration of AI applications, such as Claude Desktop, to extend them. ✅ Build an MCP-compatible application that hosts multiple MCP clients, each maintaining 1-to-1 connection to an MCP server. Join in for free:
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In case you missed it, earlier this week we launched "MCP: Build Rich-Context AI Apps with Anthropic." Enroll now and: ✅ Explore how MCP standardizes access to tools and data for AI applications, its underlying architecture, and how it simplifies the integration of new tools and connections to external systems (e.g., GitHub repos, Google Docs, local files). ✅ Build and deploy an MCP server that provides tools, resources, and prompts, and add it to the configuration of AI applications, such as Claude Desktop, to extend them. ✅ Build an MCP-compatible application that hosts multiple MCP clients, each maintaining 1-to-1 connection to an MCP server. Join in for free:

DeepLearning.AI

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2/ Claude Code Debugger 🏅 (Editor’s choice) An MCP for Visual Studio @Code Connects with Claude Code to automatically debug complex problems using the native VSCode debugger (rather than just print statements and static analysis)
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2/ Claude Code Debugger 🏅 (Editor’s choice) An MCP for Visual Studio @Code Connects with Claude Code to automatically debug complex problems using the native VSCode debugger (rather than just print statements and static analysis)

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Claude Fable 5 + Higgsfield MCP is insane. You can now build a playable game with a full story and stunning visuals from one click. Fable 5 researches your idea and writes the game. Higgsfield MCP generates all the assets. On Higgsfield Supercomputer and in Claude via Higgsfield MCP.

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oh my... Claude Code is evolving You can now build a web app and mobile app at the same time... with Claude Code from a single platform ... > Build iOS App, send to app store > Build web App (New), deploy to the internet w/ 1 click > All apps deploy frontend and backend
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Chorus.com

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The Sanity MCP server is now available in v0! Build content-powered sites and apps without leaving the chat — structured, queryable, and scaleable from the get-go. Here's an example app of what you can build: A feature-rich pizza recipe app with advanced taxonomy, recommendations, 100s of landing pages, and LD-JSON schemas (great for SEO/AEO). All from chatting with the agent. Try it out now at →
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The Sanity MCP server is now available in v0! Build content-powered sites and apps without leaving the chat — structured, queryable, and scaleable from the get-go. Here's an example app of what you can build: A feature-rich pizza recipe app with advanced taxonomy, recommendations, 100s of landing pages, and LD-JSON schemas (great for SEO/AEO). All from chatting with the agent. Try it out now at →

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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
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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

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I'm excited that Visual Studio Code (Insiders) now supports the full Model Context Protocol (MCP) spec, including sampling! ⚡ I just published a new blog post and video showing how you can use sampling to generate tags for journal entries in an MCP-powered app. Check out what’s possible!

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This is why you want an execution layer share your tools, auth and approvals across all agents you use Check out me adding the Axiom MCP server, authing to it, and calling it from Claude Code and OpenCode in under a minute - all locally on my computer `npm i -g executor`

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Spent the day testing Claude Opus 4.7. Last month I built a design director agent for OpenClaw and now it cooks. 15 minutes in, Paper Design MCP + Claude Code had made me a rough draft. In under an hour, a Framer worthy site. My workflow: 1. Feed my agent references so it can extract design systems and lock in on my taste 2. Claude Code calls Paper Design MCP to generate the visual system (just keep the Paper app open) 3. Paper exports the assets and Claude Code then preps the build docs 4. Agent loops back, critiques, iterates Got no clue why anyone is paying $10K for a website anymore. It’s easy now.

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The $100,000 Higgsfield App Contest is on. Build an app on Claude and deploy it in one click via Higgsfield MCP. 13 winners split the pool, with $25,000 for first place. Submit by July 22. Winners announced July 29. The time to launch your app is NOW.
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The $100,000 Higgsfield App Contest is on. Build an app on Claude and deploy it in one click via Higgsfield MCP. 13 winners split the pool, with $25,000 for first place. Submit by July 22. Winners announced July 29. The time to launch your app is NOW.

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