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.
1088 servers
MCP (Model Context Protocol) server for SynergyAge database This server implements the Model Context Protocol (MCP) for SynergyAge, providing a standardized interface for accessing synergistic genetic intervention and aging research data. MCP enables AI assistants and agents to query comprehensive longevity datasets through structured interfaces. The server automatically downloads the latest Syner
A Model Context Protocol server for generating charts using AntV. We can use this mcp server for chart generation and data analysis. This is a TypeScript-based MCP server that provides chart generation capabilities. It allows you to create various types of charts through MCP tools. You can also use it in Dify. - ✨ Features - 🎨 Skill Usage - 🚰 Run with SSE or Streamable transport - 🎮 CLI Options
[![MIT licensed][mit-badge]][mit-url] [![Python Version][python-badge]][python-url] [![PyPI version][pypi-badge]][pypi-url] [mit-badge]: https://img.shields.io/pypi/l/mcp.svg [mit-url]: https://github.com/reeeeemo/ancestry-mcp/blob/main/LICENSE [python-badge]: https://img.shields.io/pypi/pyversions/mcp.svg [python-url]: https://www.python.org/downloads/ [pypi-badge]: https://badge.fury.io/py/mcp-s
Query OpenAI models directly from Claude using MCP protocol. Add to claudedesktopconfig.json: MIT License
A TypeScript-based Model Context Protocol (MCP) server for Plugwise smart home integration with automatic network discovery. - 🤖 AI Agent Mode: Natural language control via built-in AI agent - 📡 JSON-RPC Support: Programmatic API for scripting and automation - 🔍 Automatic Network Scanning: Discovers all Plugwise hubs on your network - 🔐 Credential Management: Stores hub passwords securely from
Code-Graph-RAG parses a multi-language codebase with Tree-sitter, builds a knowledge graph of its structure in Memgraph, and lets you query, edit, and optimise that code in plain English. It works across a monorepo of mixed languages under one unified graph schema. - Ruby Support: Ruby joins the graph through a new pluggable ast-grep tier that adds a language from a single YAML pattern file, emitt
An MCP server that analyzes order book depth and imbalance across major crypto exchanges, empowering AI agents and trading systems with real-time market structure insights. - Order Book Metrics: Calculate bid/ask depth and imbalance for a specified trading pair on a given exchange. - Cross-Exchange Comparison: Compare order book depth and imbalance across multiple exchanges in a unified Markdown t
ClaudeCodeNavi.jp MCP server for Claude Code. 1. Create an account at ClaudeCodeNavi 2. Get your API token at マイページ → MCPサーバー 3. Tell Claude Code: Or manually: - Post articles directly from CLI - Search community articles as a knowledge base during development - Create Q&A, snippets, prompts, and more This package was previously published as mcp-claudecodenavi. Update your config:
A Model Context Protocol (MCP) server for searching NCBI databases, designed for researchers across all life sciences and biomedical fields. This server provides seamless access to PubMed's vast collection of 35+ million scientific articles through natural language queries, enabling AI assistants to help with literature reviews, research discovery, and scientific analysis. 🔬 Comprehensive Search:
MCP skill for airtable. Provides 8 tools: ping, list_bases, search_bases, list_tables_for_base, get_table_schema, list_records_for_table, create_records_for_table, update_records_for_table
Query and analyze LLM traces with AI assistance. Ask Claude to find expensive API calls, debug errors, compare model performance, or track token usage—all from your IDE. An MCP (Model Context Protocol) server that connects AI assistants to OpenTelemetry trace backends (Jaeger, Tempo, Traceloop), with specialized support for LLM observability through OpenLLMetry semantic conventions. See it in acti
An MCP server that provides real-time whale alerts on Hyperliquid, flagging positions with a notional value exceeding $1 million. - Tool: getwhalealerts: Fetches recent whale transactions and returns them as a Markdown table using pandas for clean formatting. - Prompt: summarizewhaleactivity: Generates a summary of whale transactions, including metrics like total position value and notable symbols
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
The Docker Hub MCP Server is a Model Context Protocol (MCP) server that interfaces with Docker Hub APIs to make them accessible to LLMs, enabling intelligent content discovery and repository management. Developers building with containers, especially in AI and LLM-powered workflows, often face inadequate context across the vast landscape of Docker Hub images. As a result, LLMs struggle to recommen
A Model Context Protocol (MCP) server implementation that enables AI assistants to search and reference Kibela content. This setup allows AI models like Claude to securely access information stored in Kibela. The mcp-kibela server provides the following features: - Note Search: Search Kibela notes by keywords - My Notes: Fetch your latest notes - Note Content: Get note content and comments by ID -
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
A Spring AI MCP-based service for retrieving ONES Wiki content and converting it to AI-friendly text format. - 🔐 ONES platform authentication support - 🌐 Automatic conversion from Wiki URLs to API endpoints - 📄 Extract and format Wiki page content - 🤖 AI-friendly text output format - ⚙️ Configuration via properties file or command line arguments - Java 17 or higher - Maven 3.6 or higher - Acce
A weather forecast MCP (Model Context Protocol) server providing 8-day global weather forecasts and current weather conditions using the OpenWeatherMap One Call API 3.0. Animation showing Claude Desktop processing the weather data from the MCP Server Claude Desktop showing a detailed weather forecast with lawn mowing recommendations - 🌍 Support for querying weather conditions anywhere in the worl
skill-depot replaces the "dump all skill frontmatter into context" approach with selective, semantic retrieval. Agent skills are stored as Markdown files and indexed with vector embeddings — only the relevant skills are loaded when needed, keeping context lean. - Semantic Search — Find skills by meaning, not just keywords, using embedded vector search - Fully Local — No API keys, no cloud. U
Publish the package to npmjs by bumping version, building, and creating a GitHub release
MifosX Self Service MCP is a Model Context Protocol (MCP) server built using FastMCP (Python). It exposes a set of AI-callable tools that allow MCP-compatible clients (such as Claude Desktop or DeepChat) to securely interact with the Apache Fineract / MifosX Self-Service APIs. This project enables AI-driven banking workflows such as authentication, account access, beneficiary management, and trans
English | 日本語 mcp-alphabanana is a Model Context Protocol (MCP) server for generating image assets with Google Gemini. It is built for MCP-compatible clients and agent workflows that need fast image generation, transparent outputs, reference-image guidance, and flexible delivery formats. Keywords: MCP server, Model Context Protocol, Gemini AI, image generation, FastMCP Key capabilities: - Ultra-fa
An MCP server that enables AI agents to launch, buy, and sell tokens on the Raydium Launchpad(also know as LaunchLab). - Mint Token: Create a bonding-curve-based token with customizable parameters (name, symbol, decimals, total supply, fundraising target, etc.) and upload metadata to IPFS. - Buy Token: Purchase tokens from a Raydium Launchpad pool using SOL. - Sell Token: Sell tokens back to a Ray
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