MCP (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.
1046 servers
An MCP server for JupyterCAD that allows you to control it using LLMs/natural language. Suggestions and contributions are very welcome. The default transport mechanism is stdio. To start the server with stdio, use the following command: To use the streamable-http transport, use this command instead: An example using the OpenAI Agents SDK is available at examples/openaiagentsclient.py. To run it, f
A [Model Context Protocol][mcp] (MCP) server for Chess.com's Published Data API. This provides access to Chess.com player data, game records, and other public information through standardized MCP interfaces, allowing AI assistants to search and analyze chess information. [mcp]: https://modelcontextprotocol.io/introduction/introduction - [x] Access player profiles, stats, and game records - [x] Sea
An experimental Model Context Protocol (MCP) server that enables Claude to control Strudel.cc for AI-assisted music generation, live coding, and algorithmic composition. Current State: Functional but under active development. Core features work reliably, but expect rough edges. Test coverage is at 78% with 1470 tests passing (1521 total, 51 skipped). See open issues for known limitations. - Instal
This MCP (Model Context Protocol) server provides various tools to interact with dbt. You can use this MCP server to provide AI agents with context of your project in dbt Core, dbt Fusion, and dbt Platform. Read our documentation here to learn more. This blog post provides more details for what is possible with the dbt MCP server. We publish an experimental Model Context Protocol Bundle (dbt-mcp.m
Integrate Claude with Any OpenAI SDK Compatible Chat Completion API - OpenAI, Perplexity, Groq, xAI, PyroPrompts and more. This implements the Model Context Protocol Server. Learn more: https://modelcontextprotocol.io This is a TypeScript-based MCP server that implements an implementation into any OpenAI SDK Compatible Chat Completions API. It has one tool, chat which relays a question to a config
A Model Control Protocol (MCP) server that bridges AI coding assistants with JetBrains TeamCity CI/CD server, exposing TeamCity operations as MCP tools. The TeamCity MCP Server allows developers using AI-powered coding assistants (Claude Code, Cursor, Windsurf) to interact with TeamCity directly from their development environment via MCP tools. - Dev Mode (default): Safe CI/CD operations (31 tools
MCP server implementation for TiDB (serverless) database. - uv (Python package installer) Go tidbcloud.com to create a free TiDB database cluster Configuration can be provided through environment variables, or using .env: - TIDBHOST - TiDB host address, e.g. 'gateway01.us-east-1.prod.aws.tidbcloud.com' - TIDBPORT - TiDB port (default: 4000) - TIDBUSERNAME - Database username, e.g. 'xxxxxxxxxx.\ '
Record, replay, and verify Model Context Protocol interactions for deterministic testing. MCP servers break silently. Tool schemas change, prompts drift, responses shift. Without wire-level regression tests, you find out from your users. mcp-recorder captures the full protocol exchange into a cassette file and lets you test from both sides. Try it right now — a scenarios.yml and a public demo serv
A Model Context Protocol (MCP) server implementation for running Locust load tests. This server enables seamless integration of Locust load testing capabilities with AI-powered development environments. - Simple integration with Model Context Protocol framework - Support for headless and UI modes - Configurable test parameters (users, spawn rate, runtime) - Easy-to-use API for running Locust load
An MCP (Model Context Protocol) server that provides unified access to multiple Large Language Model APIs for AI coding environments like Cursor and Claude Desktop. - 🌐 8 LLM Providers – ChatGPT, Claude, DeepSeek, Gemini, Grok, Kimi, Perplexity, Mistral - 🎯 Smart Model Selection – Tag-based preferences (coding, business, reasoning, math, creative, general) - 📊 Prompt Logging – Track all prompts
Outlook Assistant MCP server for Outlook email, calendar, and contacts — let your AI assistant manage your inbox directly from the conversation. Outlook Assistant connects AI assistants to your Microsoft Outlook account through the Model Context Protocol. Ask your AI assistant to search your inbox, send emails, schedule meetings, manage contacts, and configure mailbox settings — without leaving th
Alibaba Cloud Ops MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Alibaba Cloud APIs, enabling AI assistants to operate resources on Alibaba Cloud, supporting ECS, Cloud Monitor, OOS, OSS, VPC, RDS and other widely used cloud products. It also enables AI assistants to analyze, build, and deploy applications to Alibaba Cloud ECS instances. Smithery AI FC-
A Model Context Protocol (MCP) server for intelligent handling of large files with smart chunking, navigation, and streaming capabilities. - Smart Chunking - Automatically determines optimal chunk size based on file type - Intelligent Navigation - Jump to specific lines with surrounding context - Powerful Search - Regex support with context lines before/after matches - File Analysis - Comprehensiv
The dicom-mcp server enables AI assistants to query, read, and move data on DICOM servers (PACS, VNA, etc.). 🤝 Contribute • 📝 Report Bug • 📝 Blog Post 1 dicom-mcp provides tools to: 🔍 Query Metadata: Search for patients, studies, series, and instances using various criteria. 📄 Read DICOM Reports (PDF): Retrieve DICOM instances containing encapsulated PDFs (e.g., clinical reports) and extract
This MCP (Model Context Protocol) server provides AIs with tools to interact with your OpsLevel account. Currently, the MCP server only uses read-only access to your OpsLevel account and can read data from the following resources: - Campaigns - Components - Component Dependencies (components that a component depends on) - Component Dependents (components that depend on a component) - Documentation
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. This server provides cloud browser automation capabilities using Browse
Your comprehensive Sonos control companion powered by the Model Context Protocol (MCP). This intelligent server provides seamless access to Sonos audio devices over your local network using UPnP/SOAP protocols. Whether you're controlling playback, managing zones, browsing your music library, or setting up alarms, this MCP server delivers complete device control directly to your AI assistant, enabl
MCP server for Offorte - Create & send proposals using AI. This server acts as the bridge between AI agents and Offorte's proposal engine. It enables external models to create and send proposals via Offorte. Built for automation workflows, the MCP makes it easy to integrate proposal actions into AI tools, chat interfaces, and autonomous systems. - About Offorte - Goals \& Coverage - Prerequisites
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 hourly and daily weather forecasts using the AccuWeather API. You need an AccuWeather API key (free tier available). Sign up here and create an app to get your key. Export your API key as an environment variable: Then run the MCP Weather server directly with: Or, for HTTP/REST access via supergateway: For integration with Claude Desktop or other
mcp-page-capture is a Model Context Protocol (MCP) server that orchestrates headless Chromium via Puppeteer to capture pixel-perfect screenshots of arbitrary URLs. It is optimized for Copilot/MCP-enabled environments and can be embedded into automated workflows or run as a standalone developer tool. - 📸 High-fidelity screenshots powered by Puppeteer and headless Chromium - ⚙️ LLM-optimized schema
MCP Server - Bridge to OpenAI API. Part of the HumoticaOS / SymbAIon ecosystem. Add to your claudedesktopconfig.json: - Connect MCP clients to OpenAI API - Support for GPT-4, GPT-3.5, and other models - Streaming responses - Simple configuration - Jasper van de Meent (@jaspertvdm) - Root AI (Claude) - rootai@humotica.nl One Love, One fAmIly! This package is officially distributed via: - PyPI: http
Google Calendar MCP Server is an MCP (Model Context Protocol) server implementation that enables integration between Google Calendar and Claude Desktop. This project enables Claude to interact with the user's Google Calendar, providing the ability to display, create, update, and delete calendar events through natural language interaction. - Google Calendar integration: Provides a bridge between Cl
Read your local Apple Notes database and provide it to Claude Desktop. Now Claude can search your most forgotten notes and know even more about you. Noting could go wrong. The server implements the ability to read and write to your Apple Notes. The server provides multiple prompts: - get-all-notes: Get all notes. - read-note: Get full content of a specific note. - search-notes: Search through note