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.
1084 servers
An MCP server that enables AI agents to interact with PumpSwap for real-time token swaps and automated on-chain trading. - Buy Tokens: Purchase tokens using SOL with customizable slippage and priority fees. - Sell Tokens: Sell tokens for SOL with configurable parameters. - Token Price Query: Retrieve current token prices in SOL. - Pool Data Retrieval: Fetch and display detailed pool information fo
A Model Context Protocol (MCP) server tailored for Klever blockchain smart contract development. This server maintains and serves contextual knowledge including code patterns, best practices, and runtime behavior for developers working with the Klever VM SDK. - 🚀 Triple Mode Operation: Run as HTTP API server, MCP stdio server, or public hosted MCP server - 💾 Flexible Storage: In-memory or Redis
Local-first MCP runtime for multi-agent consensus guard workflows — AI code review, weighted voting, HITL approval gates, and full observability on SQLite. MCP stdio mode (Claude Desktop, OpenClaw, etc.): Prerequisites: Node.js 20+, npm 10+. Optional: gh CLI (for GitHub PR triggers), OpenAI API key (falls back to deterministic heuristics without one). Any model accessible via the OpenAI or Anthrop
This is a Model Context Protocol (MCP) server that provides professional cycling data from FirstCycling. It allows you to retrieve comprehensive information about professional cyclists, race results, race details, and historical cycling data. This MCP server offers rich access to professional cycling data, providing tools for: - Finding information about professional cyclists - Retrieving race res
Give Claude, Cursor, or any MCP-compatible client instant access to Pylon's full API gateway. Pay per request via x402 micropayments (USDC on Base). No signup. No subscriptions. Add to your MCP config (claudedesktopconfig.json): The server communicates via stdio using the MCP protocol. Capabilities are auto-discovered from the Pylon gateway at startup. 1. Your AI agent calls a Pylon tool (e.g. web
A Model Context Protocol (MCP) server interface to Catalysis Hub's GraphQL API, enabling programmatic access to catalysis research data through flexible GraphQL queries. - Direct GraphQL Access: Execute any valid GraphQL query against Catalysis Hub's API - Comprehensive Data Access: - Catalytic reactions (equations, conditions, catalysts) - Material systems (structures, properties, descriptors) -
A Model Context Protocol (MCP) server that provides seamless integration with Weblate translation management platform. This server enables AI assistants to interact directly with your Weblate instance for comprehensive translation management. - 🔧 Complete Weblate API Access: Full integration with Weblate's REST API - 🤖 AI-Powered Workflow: Natural language interaction with your translation proje
A community-driven contribution space where agents and the humans behind them share browser configs so every agent navigates the web faster and cheaper than the last. Every time an agent opens a browser, it starts from zero. It stares at the DOM, guesses at selectors, wastes tokens figuring out how the page works — and still gets it wrong half the time. This happens on every site, for every agent,
A Python-based agent that integrates research providers with Claude Code through the Model Context Protocol (MCP). It supports OpenAI (Responses API with web search and code interpreter, or Chat Completions API for broad provider compatibility) and the open-source Open Deep Research stack (based on smolagents). - Python 3.9+ - OpenAI API access (Responses API models, e.g., o4-mini-deep-research-20
🎨 Pixelle MCP - Omnimodal Agent Framework English | 中文 ✨ An AIGC solution based on the MCP protocol, supporting both local ComfyUI and cloud ComfyUI (RunningHub) modes, seamlessly converting workflows into MCP tools with zero code. - ✅ 2025-09-29: Added RunningHub cloud ComfyUI support, enabling workflow execution without local GPU and ComfyUI environment - ✅ 2025-09-03: Architecture refactoring
P-Link MCP Server is a server compliant with the MCP (Model Context Protocol), integrating fetch-402 client from coinbase, and HTTP 402 protocol on server side, allowing ChatGPT, Claude, and other MCP-compatible clients to connect to a payment system on Solana. It provides a simple interface to: - Pay 402 links - Create 402 payment links (supporting agent payment on Solana and human payment by car
Sentry's MCP service is primarily designed for human-in-the-loop coding agents. Our tool selection and priorities are focused on developer workflows and debugging use cases, rather than providing a general-purpose MCP server for all Sentry functionality. This remote MCP server acts as middleware to the upstream Sentry API, optimized for coding assistants like Cursor, Claude Code, and similar devel
A Model Context Protocol (MCP) server implementation for Apache Airflow, enabling seamless integration with MCP clients. This project provides a standardized way to interact with Apache Airflow through the Model Context Protocol. This project implements a Model Context Protocol server that wraps Apache Airflow's REST API, allowing MCP clients to interact with Airflow in a standardized way. It uses
You will need: - BOXUSERID and one of the following: - BOXJWTBASE64 (recommended) - BOXJWTCONFIGPATH Using a JWT Config allows persistent connection to Box. You will need a paid Box enterprise account, or you can sign up for a free developer account (make sure you are signed out of Box before clicking that link). Visit the Box Developer Console and create a new application. Make sure the authoriza
This repository is an example of how to create a MCP server for Qdrant, a vector search engine. An official Model Context Protocol server for keeping and retrieving memories in the Qdrant vector search engine. It acts as a semantic memory layer on top of the Qdrant database. 1. qdrant-store - Store some information in the Qdrant database - information (string): Information to store - metadata (JSO
A Model Context Protocol (MCP) server designed to connect to a CCTV recording program (VMS) to retrieve recorded and live video streams. It also provides tools to control the VMS software, such as showing live or playback dialogs for specific channels at specified times. - Retrieve video channel information, including connection and recording status. - Fetch recording dates and times for specific
An MCP server that brings your curated Obris knowledge into any AI conversation. Use the Chrome extension or upload directly to save knowledge to dedicated topics so you never start another AI chat from zero again. - List topics — Browse all your Obris topics to find the one you need - Pull in knowledge — Retrieve saved bookmarks, highlights, and notes as context for any conversation - Save knowle
ActivityPub MCP Server Fediverse Client for LLMs A comprehensive Model Context Protocol (MCP) server that enables LLMs like Claude to explore and interact with the existing Fediverse through standardized MCP tools, resources, and prompts. What's New in v1.1.0 The biggest release yet! Now with full write capabilities, multi-account support, and enterprise-ready features. Post & Interact Create post
Let MCP clients like Claude and Cursor control Intruder. For more information and sample use cases, please see our blog post. There are two ways to use the MCP server: - Locally on your machine with Python - In a Docker container All of these methods require you to provide an Intruder API key. To generate a key, see the documentation. Install uv if it isn't already present, and then clone this rep
Model Context Protocol server for OriginSelect — search ethical, origin-verified products and brands via AI agents. Works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible client. No install needed — just add to your Claude Desktop config: Then add to Claude Desktop config: Add to your MCP settings: Once connected, ask your AI assistant: - "Find organic baby products from Canada under
- Model Context Protocol (MCP) Server for Fast Healthcare Interoperability Resources (FHIR) APIs - Table of Contents - Demo with HAPI FHIR server - Demo with EPIC Sandbox - Core Features - Prerequisites - Installation - Installing using PyPI Package - Installing from Source - Installing using Docker - Running the MCP Server with Docker - Using Docker Compose with HAPI FHIR Server - Integration wit
An MCP server for the Rootly API that integrates seamlessly with MCP-compatible editors like Cursor, Windsurf, and Claude. Resolve production incidents in under a minute without leaving your IDE. - Python 3.12 or higher - uv package manager - Rootly API token with appropriate permissions (see below) The MCP server requires a Rootly API token. Choose the appropriate token type based on your needs:
Remote voice via VoiceMode Connect. Use when users want to add voice to Claude Code using their phone or web app, without local STT/TTS setup.
Spreadsheet automation for AI agents. Read, profile, edit, and recalculate .xlsx workbooks with tooling designed to be token-efficient, structurally aware, and agent-friendly. spreadsheet-kit ships two surfaces: Both share the same core engine and support .xlsx / .xlsm (read + write) and .xls / .xlsb (discovery only). Downloads a prebuilt native binary for your platform. No Rust toolchain required