Model Context Protocol servers let AI agents reach beyond the codebase. They connect your agent to external APIs, databases, search engines, and services through a standardized protocol, so the agent can actually take action, not just write code.
1085 servers
A Model Context Protocol (MCP) server and command-line interface for Apollo.io. This package provides: - MCP Server: Integrates Apollo.io with Claude Desktop for conversational access to B2B data - CLI Tool: Command-line interface for direct API access via terminal Both tools provide access to Apollo's comprehensive B2B database for people and company search, enrichment, and insights. - Apollo.io
A Model Context Protocol server that lets your AI talk to Stockfish. Because apparently we needed to make chess engines even more accessible to our silicon overlords. This creates a bridge between AI systems and the Stockfish chess engine via the MCP protocol. It handles multiple concurrent sessions because your AI probably wants to analyze seventeen positions simultaneously while you're still fig
A Model Context Protocol server for Jupiter API, Solana's premier DEX aggregator. Supports immediate swaps through Ultra API and limit orders through Trigger API. Before installing the extension, ensure you have: 1. Node.js and npx (for envmcp support) - Download from: https://nodejs.org/ - Verify with: npx --version 2. uv/uvx (Python package manager) - Install from: https://docs.astral.sh/uv/gett
A TwelveTake Studios project. A comprehensive Model Context Protocol (MCP) server that enables AI assistants to control REAPER DAW for mixing, mastering, MIDI composition, and full music production workflows. Built by a working producer with 7+ albums released. These aren't theoretical tools—they're battle-tested in real sessions. Version: 1.1.0 Most MCP servers just wrap REAPER's API and call it
Scaffolds a new WebMCP tool component using useMcpTool with Zod schema, handler, annotations, and wires it into the WebMCPProvider tree. Use when the user wants to expose functionality as an MCP tool, make something callable by AI, add a new tool, or create an AI-accessible action.
A Model Context Protocol (MCP) server that enables you to manage Gitea/Forgejo repositories through AI assistants like Claude, Gemini, and Copilot. If you want to: - Smart progress tracking: Let AI help you track project progress and analyze bottlenecks - Automated issue categorization: Automatically tag issue labels and set milestones based on content - Priority sorting: Let AI analyze issue cont
Beautiful diff visualization for Claude Desktop. Transform code diffs into stunning visual comparisons with GitHub Gist integration and local file output. - 🎨 Beautiful HTML diff visualization using diff2html - 🌐 GitHub Gist integration for instant sharing - 📁 Local file output (PNG/HTML) - 🔄 Auto-delete functionality for temporary diffs - 🖥️ Cross-platform support (Windows, macOS, Linux) - ⚡
MCP (Model Context Protocol) is an open protocol that standardizes how applications share context with large language models. MCP can provide AI systems with additional information needed to generate accurate and relevant responses for use cases where the AI systems do not have the context, by integrating the AI systems with tools and platforms that have specific capabilities.&x20; You can integra
An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context. - Vector-based documentation search and retrieval - Support for multiple documentation sources - Semantic search capabilities - Automated documentation processing - Real-time context augmentation f
A Model Context Protocol (MCP) server that provides AI assistants (MCP Clients) with direct access to HLedger accounting data and functionality. This server enables AI applications to query account balances, generate financial reports, add new entires, and analyze accounting data through a standardized protocol. It has support for most hledger cli commands, the ability to fetch an traverse !includ
Daisys-mcp is a beta version and doesn't have a stable release yet. But you can try it out by doing the following: 1. Get an account on Daisys and create an username and password. If you run on mac os run the following command: If you run on linux run the following command: 2. Add the following configuration to the mcp config file in your MCP client (Claude Desktop, Cursor, mcp-cli, mcp-vscode, et
A Model Context Protocol (MCP) server for GreptimeDB — an open-source, cloud-native, unified observability database. Enables AI assistants to query and analyze GreptimeDB using SQL, TQL (PromQL-compatible), and RANGE queries, with built-in security features like read-only enforcement and data masking. For Claude Desktop, add this to your config (~/Library/Application Support/Claude/claudedesktopco
A robust Model Context Protocol (MCP) server that provides secure shell command execution capabilities to AI assistants and other MCP clients. In other words: the brain thinks, this runs the commands. This tool creates a bridge between AI systems and your shell environment through the standardized MCP protocol. It exposes the system shell as a structured tool, enabling autonomous workflows, tool-a
A self-hosted investment decision engine built for modern AI agents. Multi-agent information isolation and cross-challenge protocol, providing an auditable decision trail (Audit Trail). Full Architecture Wiki · 中文版 OpenInvest is a self-hosted investment decision engine built for modern AI agents. It provides a verifiable investment committee, evidence-based reasoning, long-horizon backtest
Golang-based MCP server connecting to Kubernetes Features ⚙ Browse With Inspector ⚙ Use With Claude ⚙ Contributing ↗ ⚙ About MCP ↗ MCP 💬 prompt 🗂️ resource 🤖 tool - 🗂️🤖 List Kubernetes contexts - 💬🤖 List Kubernetes namespaces - 🤖 List, get, create and modify any Kubernetes resources - includes custom mappings for resources like pods, services, deployments - 🤖 List Kubernetes nodes - 💬 Li
mcp-name: io.github.king-of-the-grackles/reddit-research-mcp AI-Powered Reddit Intelligence for Market Research & Competitive Analysis Version: 1.0.0 Turn Reddit's chaos into actionable insights. Dialog is your all-in-one Reddit intelligence platform for competitive analysis, market research, and customer discovery across 20,000+ active subreddits. This is the official MCP server powering Dialog -
Think MCP is an implementation of an MCP (Model Context Protocol) server that provides a "think" tool for structured reasoning in agentic AI workflows. This project is inspired by the Anthropic engineering article: The "think" tool: Enabling Claude to stop and think in complex tool use situations. According to the referenced article, adding the think tool can lead to improved evaluation metrics by
This is a Model Context Protocol (MCP) server that integrates AgentQL's data extraction capabilities. - extract-web-data - extract structured data from a given 'url', using 'prompt' as a description of actual data and its fields to extract. To use AgentQL MCP Server to extract data from web pages, you need to install it via npm, get an API key from our Dev Portal, and configure it in your favorite
This project implements a Model Context Protocol (MCP) server for interacting with the ZenML API. The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). It acts like a "USB-C port for AI applications" - providing a standardized way to connect AI models to different data sources and tools. MCP follows a client-server
mem0-mcp-server wraps the official Mem0 Memory API as a Model Context Protocol (MCP) server so any MCP-compatible client (Claude Desktop, Cursor, custom agents) can add, search, update, and delete long-term memories. The server exposes the following tools to your LLM: All responses are JSON strings returned directly from the Mem0 API. There are three ways to use the Mem0 MCP Server: 1. Python Pack
A Model Context Protocol (MCP) server that provides gene set enrichment analysis using the Enrichr API. This server supports all available gene set libraries from Enrichr and returns only statistically significant results (corrected-$p$ File -> Settings and drag and drop the downloaded file into the Settings window. Use the button below to install the MCP server to Cursor, VS Code, or VS Code Insi
A production-grade YouTube Data MCP server engineered specifically for AI agents. Unlike standard API wrappers that flood your LLM with redundant data, this server strips away YouTube's heavy payload bloat. It is designed to save you massive amounts of context window tokens, protect your daily API quotas via caching, and run reliably without breaking your workflows. Most MCP servers are weekend pr
This project provides a FastMCP server for mathematical computations, including numerical and symbolic calculations, as well as plotting. - Python 3.12 or higher (To install Python3.12 follow Python Download) - uv (To install uv follow uv Installation) You can find the mcp.json file in the MCP: Open User Configuration or MCP: Open Workspace Configuration Add the following to your mcp.json: If you'
Search your past ChatGPT conversations directly from Claude Desktop. Switched from ChatGPT to Claude? Now you can ask Claude things like "What did I discuss about marketing strategy in ChatGPT?" and get real answers — without going back to ChatGPT. Step 1 — Export your ChatGPT data In ChatGPT: Settings → Data Controls → Export Data. You'll get an email with a .zip file. Step 2 — Run the installer