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.
1089 servers
A Node.js server implementing the Model Context Protocol (MCP) for interacting with the storacha.network platform via the w3 command-line interface (@web3-storage/w3cli). This server empowers language models 🤖 and other MCP clients to manage storacha.network spaces, upload/download data, manage delegations, and perform various other tasks by seamlessly wrapping w3 commands. - Wraps the w3 CLI for
You can run the MCP Server in a Docker container. This is useful if you want to avoid managing Python environments or dependencies on your local machine. See kestramcpdocker. Paste the following configuration into your MCP settings (e.g., Cursor, Claude, or VS Code): - Replace , , and with your actual credentials. - For OSS installations, you can use KESTRAUSERNAME and KESTRAPASSWORD instead of KE
Model Context Protocol (MCP) is a standardized protocol for managing context between large language models (LLMs) and external systems. This repository provides an MCP Server for Redis Cloud's API, allowing you to manage your Redis Cloud resources using natural language. This lets you use Claude Desktop, or any MCP Client, to use natural language to accomplish things on your Redis Cloud account, e
A Model Context Protocol server implementation for ChatterBox, enabling AI agents to interact with online meetings and generate meeting summaries. The ChatterBox MCP Server provides tools for AI agents to: - Join online meetings (Zoom, Google Meet, or Microsoft Teams) - Capture transcripts and recordings - Generate meeting summaries To install chatterboxio-mcp-server for Claude Desktop automatical
This project implements an independently-developed CipherTrust MCP (Model Context Protocol) server that allows AI Assistants like Claude or Cursor to interact with CipherTrust Manager resources using the ksctl CLI. - Important Notice - Prerequisites - Installation - Configuration - Integration with AI Assistants - Environment Variables - Troubleshooting - Project Structure - Contributing This is a
Enabling web apps to provide JavaScript-based tools that can be accessed by AI agents and assistive technologies to create collaborative, human-in-the-loop workflows. > First published August 13, 2025 > > Brandon Walderman <brwalder@microsoft.com> > Leo Lee <leo.lee@microsoft.com> > Andrew Nolan <annolan@microsoft.com> > David Bokan <bokan@google.com> > Khushal Sagar <kh
This MCP server provides a Model Context Protocol (MCP) client that interfaces with the PapersWithCode API. It includes tools for searching, retrieving, and parsing information on research papers, authors, datasets, conferences, and more. To install mcp-paperswithcode for Claude Desktop automatically via Smithery: Search for papers using optional filters. - abstract (str, optional): Filter by abst
A powerful Go-based MCP server that enables seamless integration between AI assistants (like Claude Desktop, Cursor) and Kanboard project management system. Manage your Kanboard projects, tasks, users, and workflows directly through natural language commands. ⚠️ Warning: To avoid issues like these: We recommend using mcpproxy as a proxy solution. - ✨ Features - 🚀 Quick Start - ⚙️ Configuration -
A Model Context Protocol (MCP) server that queries multiple Ollama models and combines their responses, providing diverse AI perspectives on a single question. This creates a "council of advisors" approach where Claude can synthesize multiple viewpoints alongside its own to provide more comprehensive answers. - Query multiple Ollama models with a single question - Assign different roles/personas t
AI‑powered YouTube uploader—no CLI, no YouTube Studio, and no secrets ever shared with LLMs or third‑party apps and all free of cost! It includes OAuth2 authentication, token management, and video upload functionality. - Upload videos to YouTube from MCP Client(Claude/Cursor/VS Code) - OAuth2 authentication flow - Access token and refresh token management - Multi Channel Support - Schedule video u
An MCP server that streams real-time cryptocurrency liquidation events from Binance, enabling AI agents to react instantly to high-volatility market movements. - Real-time Liquidation Streaming: Connects to Binance WebSocket to capture liquidation events. - Liquidation Data Storage: Maintains an in-memory list of up to 1000 liquidation events, with no persistent storage. - Tool: getlatestliquidati
This project is no longer needed. Ragie now supports MCP natively as a streamable HTTP server. See docs here: [https://docs.ragie.ai/docs/mcp-overview] If you would like users within your company to be able to access you knowledge base in applications like Claude or ChatGPT, you may need MCP Bridge A Model Context Protocol (MCP) server that provides access to Ragie's knowledge base retrieval capab
Hardware-accelerated persistent memory for AI agents. Local-first. No cloud. One-time payment. 66.9% on LoCoMo benchmark (adjusted). Under 1ms retrieval. Zero cloud dependency. Retrieval pipeline rebuilt from scratch. - bge-small-en-v1.5 bi-encoder + ms-marco cross-encoder reranker (spec-decode architecture) - BM25 + Porter-stemmed BM25 + named entity injection, fused via RRF - MAGMA graph layer —
This project provides a modular, resource-oriented FastMCP server for interacting with Microsoft Graph API. It is designed for extensibility, maintainability, and security, supporting advanced queries for users, sign-in logs, MFA status, and privileged users. - Modular Resource Structure: - Each resource (users, sign-in logs, MFA, etc.) is implemented in its own module under src/msgraphmcpserver/r
Model Context Protocol (MCP) server for mapping clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts using Large Language Models (LLMs). The vocabulary API is supported by OMOP HUB, and you can obtain an API key from omophub.com. This server provides an agentic framework to standardize medical terms into the OMOP Common Data Model (CDM). It uses the OMOPHub API for vo
search golang packages and their docs from pkg.go.dev, provide the infomation to llm as mcp server You can download the compiled binary from the releases page. Or you can install it from source, compile it by yourself: just use your client to request. it servers on stdio - localCache - [x] use a local cache to avoid search every time(From reddit user) - searchPackage - [x] imported by how many pac
An integration that allows Claude Desktop to fetch and read content from your favorite RSS feeds using the Model Context Protocol (MCP). - Read articles from your favorite RSS feeds directly in Claude Desktop - Support for OPML files to import your existing feed subscriptions - Organize feeds by categories - Get the latest articles across all your feeds - Filter articles by feed source or category
mcp.apify.com The Apify Model Context Protocol (MCP) server at mcp.apify.com enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, and any other website using thousands of ready-made scrapers, crawlers, and automation tools from the Apify Store. It supports OAuth, allowing you to connect from clients like Claude.ai or Visual Studio Code using just the UR
An MCP server that enables cross-chain token transfers via the Stargate protocol. - Chain Discovery: List all supported blockchains with key details. - Token Discovery: Find bridgeable tokens across chains. - Quote Fetching: Get real-time bridge quotes with fees, estimates, and transaction steps. - Automated Bridging: Execute transfers with automatic signing and broadcasting using your private key
A Model Context Protocol (MCP) server for libSQL database operations, providing secure database access through Claude Desktop, Claude Code, Cursor, and other MCP-compatible clients. Runs on Node, written in TypeScript 1. Install: 2. Test locally: 3. Configure Claude Desktop with your Node.js path and database URL (see configuration examples below) ✅ Complete database management capabilities - All
A CLI inspector for the Model Context Protocol - Run MCP servers from various sources - List Tools, Resources, Prompts - Call Tools, Read Resources, Read Prompts - OAuth support for SSE and Streamable HTTP servers This will use the config file of Claude Desktop. The config file has the same format as the Claude Desktop config file. Run a specific tool, resource, or prompt without interactive promp
An MCP (Model Context Protocol) server providing comprehensive Xcode integration for AI assistants. This server enables AI agents to interact with Xcode projects, manage iOS simulators, and perform various Xcode-related tasks with enhanced error handling and support for multiple project types. - Set active projects and get detailed project information - Create new Xcode projects from templates (iO
This is a simple Model Context Protocol (MCP) server implementation for IP2Location.io API. It will return a detailed geolocation information for any given IPv4 or IPv6 address. - Comprehensive Geolocation Data: Retrieves a wide range of information, including country, region, city, latitude, longitude, ZIP code, time zone, and more. - Network Details: Provides network-related data such as ASN, IS
Welcome to the official Scrapeless Model Context Protocol (MCP) Server — a powerful integration layer that empowers LLMs, AI Agents, and AI applications to interact with the web in real time. Built on the open MCP standard, Scrapeless MCP Server seamlessly connects models like ChatGPT, Claude, and tools like Cursor and Windsurf to a wide range of external capabilities, including: - Google services