mcp
Run AI Generated Code Locally. A secure local sandbox to run LLM-generated code using Apple containers.
CodeRunner is an MCP (Model Context Protocol) server that executes AI-generated code in a sandboxed environment on your Mac using Apple's native containers.
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simplify and secure MCP servers. ToolHive makes deploying MCP servers easy, secure and fun.
Run any Model Context Protocol (MCP) server — securely, instantly, anywhere.
ToolHive is the easiest way to discover, deploy, and manage MCP servers. Launch any MCP server in a locked-down container with a single command. No manual setup, no security headaches, no runtime hassles.
EnrichMCP is a Python framework that helps AI agents understand and navigate your data. Built on MCP (Model Context Protocol), it adds a semantic layer that turns your data model into typed, discoverable tools - like an ORM for AI.
AmphiPod is a lightweight, HTTP-based Model Context Protocol (MCP) server implementation written in Go. It simplifies the integration of AI tools by providing an HTTP interface to the MCP specification and executing tools through WebAssembly plugins.
Visual testing tool for MCP servers.
The MCP inspector is a developer tool for testing and debugging MCP servers.
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Expose llms-txt to IDEs for development.
llms.txt is a website index for LLMs, providing background information, guidance, and links to detailed markdown files. IDEs like Cursor and Windsurf or apps like Claude Code/Desktop can use llms.txt to retrieve context for tasks. However, these apps use different built-in tools to read and process files like llms.txt. The retrieval process can be opaque, and there is not always a way to audit the tool calls or the context returned.
MCP offers a way for developers to have full control over tools used by these applications. Here, we create an open source MCP server to provide MCP host applications (e.g., Cursor, Windsurf, Claude Code/Desktop) with (1) a user-defined list of llms.txt files and (2) a simple fetch_docs tool read URLs within any of the provided llms.txt files. This allows the user to audit each tool call as well as the context returned.
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Interactive UI Components for MCP SDK for UI over MCP. Create next-gen UI experiences!
Build rich, dynamic user interfaces for your MCP applications with SDKs that bring UI to AI interactions.
The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to your agents.
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Revolutionary AI-Powered Offensive Security Framework.
HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.
docker mcp CLI plugin / MCP Gateway.
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Security scanner for MCP servers
MCP-Shield scans your installed MCP (Model Context Protocol) servers and detects vulnerabilities like tool poisoning attacks, exfiltration channels and cross-origin escalations.
A lightweight, zero-overhead implementation of the Model Context Protocol (MCP) server in pure Bash.
Why? Most MCP servers are just API wrappers with schema conversion. This implementation provides a zero-overhead alternative to Node.js, Python, or other heavy runtimes.
An MCP server that autonomously evaluates web applications.
Browser Agents to vibe-test your web app. Let browser agents vibe-test your vibe-coding.
10x your vibe coding by giving your coding agent a browser agent that can vibe-test web applications via MCP.
chrome-devtools-mcp lets your coding agent (such as Gemini, Claude, Cursor or Copilot) control and inspect a live Chrome browser. It acts as a Model-Context-Protocol (MCP) server, giving your AI coding assistant access to the full power of Chrome DevTools for reliable automation, in-depth debugging, and performance analysis.
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Model Context Protocolfor the Browser
Browser-based Model Context Protocol (MCP) implementation that enables AI assistants to interact with web applications through standardized MCP tools.
Today's AI automation is like using a robot to read your screen and click buttons. MCP-B gives AI direct access to your website's functions instead.
Containerized versions of hundreds of MCP servers 📡 🧠
While experimenting with Model Context Protocol (MCP) servers, we found that setting them up could be a bit tedious and time-consuming. To simplify the process, we created containerized versions of these servers—making it quick, easy, and secure for anyone to get started.
In this short article, I will walk you through how I implemented it in Typescript (JS), how you can adopt MCP too and how it's going to make Agentic AI way simpler going forward.
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AI Vision for macOS. Fast Screen Capture & VQA.
Peekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models.
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MCP server helping models to understand your Vite/Nuxt app better.
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MCP server for understanding AWS spend.
An MCP server for getting AWS spend data via Cost Explorer and Amazon Bedrock usage data via Model invocation logs in Amazon Cloud Watch through Anthropic's MCP (Model Control Protocol).
A Model Context Protocol server for Go developers.
GoDoctor is an intelligent, AI-powered companion for the modern Go developer. It integrates seamlessly with AI-powered IDEs and other development tools through the Model Context Protocol (MCP), providing a suite of powerful features to enhance your workflow.
Prism is a powerful Laravel package for integrating Large Language Models (LLMs) into your applications.
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An ever growing list of open source MCP servers 📡 📁 🚀
Explore thousands of MCP servers. And connect to them in a single function call.
Deep Research at Your Fingertipsat Your Fingertips
Meet DeerFlow, your personal Deep Research assistant. With powerful tools like search engines, web crawlers, Python and MCP services, it delivers instant insights, comprehensive reports, and even captivating podcasts.
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
PostgreSQL Model Context Protocol (PG-MCP) Server.
A Model Context Protocol (MCP) server for PostgreSQL databases with enhanced capabilities for AI agents.
MCP OAuth Proxy incl. dynamic client registration (DCR), MCP prompt analytics and MCP firewall to build enterprise grade MCP servers.
Jetski is an Open Source MCP Analytics and Authentication Platform - part of HyprMCP. It solves the three biggest problems teams face when developing MCP servers with zero code changes:
A Model Context Protocol (MCP) server for accessing the OpenTofu Registry. This server allows language model assistants to search for and retrieve information about OpenTofu providers, modules, resources, and data sources.
An open protocol enabling communication and interoperability between opaque agentic applications.
One of the biggest challenges in enterprise AI adoption is getting agents built on different frameworks and vendors to work together. That’s why we created an open Agent2Agent (A2A) protocol, a collaborative way to help agents across different ecosystems communicate with each other.
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GitHub's official MCP Server.
The GitHub MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with GitHub APIs, enabling advanced automation and interaction capabilities for developers and tools.
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A Minecraft MCP Server powered by Mineflayer API. It allows to control a Minecraft character in real-time, allowing AI assistants to build structures, explore the world, and interact with the game environment through natural language instruction
A Model Context Protocol server that provides read-only access to PostgreSQL databases. This server enables LLMs to inspect database schemas and execute read-only queries.
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Building a Secure and Interoperable Future for AI-Driven Payments.
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The Terraform MCP Server provides seamless integration with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.
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CLI for exploring AWS EC2 Spot inventory. Inspect AWS Spot instance types, saving, price, and interruption frequency. Command-line tool for AWS EC2 Spot Instance exploration with placement score analysis.
spotinfo is a powerful CLI tool and Model Context Protocol (MCP) server that provides comprehensive AWS EC2 Spot Instance information, including real-time placement scores, pricing data, and interruption rates. Perfect for DevOps engineers optimizing cloud infrastructure costs.
Open-Source MCP servers
Production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.
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Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, we provide an installer as well as an MCP Server for Cloudflare's API.
This lets you use Claude Desktop, or any MCP Client, to use natural language to accomplish things on your Cloudflare account
Laravel Boost accelerates AI-assisted development by providing the essential context and structure that AI needs to generate high-quality, Laravel-specific code.
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MCP server for fetch web page content using Playwright headless browser.
⚡A CLI tool for code structural search, lint and rewriting. Written in Rust. Find Code by Syntax. structural search/rewrite tool for many languages.
ast-grep(sg) is a fast and polyglot tool for code structural search, lint, rewriting at large scale.
AI-powered multi-agent builder. Let AI build multi-agent systems for you Build with Agents SDK. Connect MCP tools. Open-source.
The fast, Pythonic way to build MCP servers and clients.
The Model Context Protocol (MCP) is a new, standardized way to provide context and tools to your LLMs, and FastMCP makes building MCP servers and clients simple and intuitive. Create tools, expose resources, define prompts, and more with clean, Pythonic code.
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integrate LLM with any tool. ACI: Open-Source Infra to Power Unified MCP Servers.
ACI.dev is the open-source infrastructure layer for AI-agent tool-use. It gives your agents intent-aware access to 600+ tools with multi-tenant auth, granular permissions, and dynamic tool discovery—exposed as either direct function calls or through a Unified Model-Context-Protocol (MCP) server.
ACI.dev is the open source platform that connects your AI agents to 600+ tool integrations with multi-tenant auth, granular permissions, and access through direct function calling or a unified MCP server.
Turn Apps Into Agent-Ready Knowledge. Empower Agents with Deep Knowledge About Their Users. Give Users the Experience They Deserve
Airweave is a tool that lets agents semantically search any app. It's MCP compatible and seamlessly connects any app, database, or API, to transform their contents into agent-ready knowledge.
Airweave simplifies the process of making information retrievable for your agent. Whether you have structured or unstructured data, Airweave helps you break it into processable entities, store the data and make it retrievable through REST and MCP endpoints.
Instantly create a Remote MCP server for any GitHub project.
GitMCP is a free, open-source service that seamlessly transforms any GitHub project into a remote Model Context Protocol (MCP) endpoint, enabling AI assistants to access and understand the project's documentation effortlessly.
Build and deploy MCP agents.
Spin-up and aggregate MCP servers through a single endpoint and zero friction.
mcp-use is the easiest way to interact with mcp servers with custom agents. 🌐 MCP-Use is the open source way to connect any LLM to any MCP server and build custom MCP agents that have tool access, without using closed source or application clients.
MCP Integrationfor AI Applications
The best way to get access to production-ready MCP servers at scale.
Klavis AI makes it effortless to connect to production-ready MCP servers & clients at scale. Integrate with your AI application in under a minute, and scale to millions of users using our open-source infrastructure, hosted servers, and multi-platform clients!
A powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & other integrations).
🚀 Serena is a powerful coding agent toolkit capable of turning an LLM into a fully-featured agent that works directly on your codebase. Unlike most other tools, it is not tied to an LLM, framework or an interface, making it easy to use it in a variety of ways.
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Coding assistant MCP for Claude Desktop.
Make Claude Desktop a pair programming assistant by installing codemcp. With it, you can directly ask Claude to implement features, fix bugs and do refactors on a codebase on your computer; Claude will directly edit files and run tests. Say goodbye to copying code in and out of Claude's chat window!
Apple Docs for LLMs.
Ever notice Claude struggling to write Swift code? It might not be their fault!
Apple Developer docs are locked behind JavaScript, making them invisible to most LLMs. If they try to fetch it, all they see is "This page requires JavaScript. Please turn on JavaScript in your browser and refresh the page to view its content."
This service translates Apple Developer documentation pages into AI-friendly Markdown.
MCP server for interaction with the Bitwarden vault.
Model Context Protocol (MCP) server that enables interaction with the Bitwarden password manager vault via the MCP protocol. The server allows AI models to securely communicate with a user's Bitwarden vault through defined tool interfaces.
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Run MCPs without the complexity ⚡️
OneMCP is an app that lets you run any MCP without the complexity of downloading repos, reading docs, or setting up servers.
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specialized MCP servers that bring AWS best practices directly to your development workflow .
Fleur is the app store for Claude. The easiest way to discover and install MCPs.
Fleur is a desktop application that serves as an app marketplace for MCPs. It allows you to discover, install, and manage apps that extend the functionality of Claude Desktop and Cursor.
All without having to use a command line. Fleur is made for non-technical users in mind, but is open-source and extensible so developers can make it their own.
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Unified MCP Server Implementation.
A comprehensive Model Context Protocol (MCP) server implementing the latest MCP 2025-03-26 specification. Demonstrates MCP capabilities including tools, resources, prompts, roots, and enhanced sampling with model preferences. Features HackerNews and GitHub API integrations with AI-powered analysis through advanced MCP sampling.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.
Related contents:
- Model Context Protocol (MCP) Course @ Hugging Face.
- Introducing the Model Context Protocol @ Anthropic.
- LLM Agent Assisted Coding @ stafford williams.
- Everyone is talking about MCP @ Adam Silverman's X.
- What is Model Context Protocol (MCP)? How it simplifies AI integrations compared to APIs @ Norah Sakal.
- What is MCP by Anthropic?(Model Context Protocol) @ Toward AI.
- A Deep Dive Into MCP and the Future of AI Tooling @ Andreessen Horowitz.
- What is MCP (Model Context Protocol)? @ daily.dev.
- 230. MCP - It's Hot, But Will It Win? @ Hardcore Software by Steven Sinofsky.
- MCP (Model Context Protocol): Simply explained in 5 minutes @ High Growth Engineer.
- The “S” in MCP Stands for Security @ Elena Cross' Medium.
- Everything Wrong with MCP @ Shrivu's Substack.
- MCPs, Gatekeepers, and the Future of AI @ I Am Charlie Graham.
- A Critical Look at MCP @ Raz Blog.
- MCP vs API @ Glama.
- MCP explained without hype or fluff @ nilenso.
- What are MCP Servers? @ The Fly Blog.
- Block's Playbook for Designing MCP Servers @ Block Engineering Blog.
- MCP is eating the world—and it's here to stay @ Stainless.
- MCP: An (Accidentally) Universal Plugin System @ Works on My Machine.
- MCP is eating the world—and it's here to stay @ Stainless.
- MCP Vulnerabilities Every Developer Should Know @ Composio.
- Your MCP Doesn’t Need 30 Tools: It Needs Code @ Armin Ronacher's Thoughts and Writings.
- The State of MCP Security @ Pynt.
- MCPs Are Just Other People's Prompts Pointing to Other People's Code @ Daniel Miessler.
- you need to learn MCP RIGHT NOW!! (Model Context Protocol) @ NetworkChuck's YouTube.
- Episode #112: A new direction for AI developer tooling @ Changelog & Friends.
The Agents SDK enables you to build and deploy AI-powered agents that can autonomously perform tasks, communicate with clients in real time, call AI models, persist state, schedule tasks, run asynchronous workflows, browse the web, query data from your database, support human-in-the-loop interactions, and a lot more.
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Servers and tools from the community that connect models to files, APIs, databases, and more.
A Ruby Implementation of the Model Context Protocol.
Connect AI models to your Ruby applications with ease No complex protocols, no integration headaches, no compatibility issues – just beautiful, expressive Ruby code.