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
MCP (Model Context Protocol) server for Biothings.io This server implements the Model Context Protocol (MCP) for BioThings, providing a standardized interface for accessing and manipulating biomedical data. MCP enables AI assistants and agents to access specialized biomedical knowledge through structured interfaces to authoritative data sources. Supported BioThings data sources include: - mygene.i
The MCP server calls the Shahnameh API behind the scenes, so you need to keep that running first. Please refer to the repository below for more information: Shahnameh API Also, please bear in mind that the API uses a database, which can be found here: Shahnameh Dataset Create and activate the virtual environment. For example, on macOS: Then run the inspector: این ریپازیتوری تنها یک بخش کوچک از پرو
A Model Context Protocol server for Zotero integration that allows Claude to interact with your Zotero library. 1. Get your Zotero credentials: The response will look like: The userID value is what you need. 2. Set environment variables: 3. Verify your credentials: You should see your collections list in the response. 4. Install and run: To use this server with Claude Desktop, add the following to
The Quickchat AI MCP (Model Context Protocol) server allows you to let anyone plug in your Quickchat AI Agent into their favourite AI app such as Claude Desktop, Cursor, VS Code, Windsurf and more. 1. Create a Quickchat AI account and start a 7-day trial of any plan. 2. Set up your AI's Knowledge Base, capabilities and settings. 3. Go to the MCP page to activate your MCP. Give it Name, Description
A Model Context Protocol server that enables AI assistants to use IP Find. The MCP server: - Connects to your IP Find API and allows AI Assistants to get locations of IP Addresses. - MCP Client (like Claude Desktop App) - IP Find API Key To use this server with the Claude Desktop app, add the following configuration to the "mcpServers" section of your claudedesktopconfig.json: - IPFINDAPIKEY - You
Model Context Protocol server for YDB. It allows to work with YDB databases from any LLM that supports MCP. This integration enables AI-powered database operations and natural language interactions with your YDB instances. uvx, which is an allias for uv run tool, allows you to run various python applications without explicitly installing them. Below are examples of how to configure YDB MCP using u
MCP Server - Bridge to local Ollama LLM server. Part of the HumoticaOS / SymbAIon ecosystem. Add to your claudedesktopconfig.json: - Connect MCP clients to local Ollama LLM - Support for all Ollama 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:
13 production-ready tools for AI agents — one API key, zero complexity. Docs · Playground · OpenAPI Spec · npm Building AI agents that interact with the real world? You'd normally need: No credit card. No setup. 13 endpoints ready to use. Use Agent Toolbox as an MCP server in Claude Desktop, Cursor, or Windsurf: Add to Claude Desktop config: See MCP Quickstart Guide for full setup instructions. Al
An MCP server that detects potential risks in Solana meme tokens, helping AI agents avoid rug pulls and unsafe projects. - Token Analysis Tool: The analysistoken tool retrieves and processes Solana token data from the Solsniffer API. - Structured Output: Returns detailed token information including name, symbol, Snif score, market cap, price, supply, risks, and audit status. - Python 3.10 or highe
Geocoding MCP server with GeoPY! - Python 3.6+ Install all required dependencies: - fastmcp: Framework for building Model Context Protocol servers - geoPy: Python library for accessing and geocoding/reverse geocoding locations. All dependencies are specified in requirements.txt for easy installation. - System Requirements - Dependencies - MCP Tools - Getting Started - Installation Options - Claude
A community-built Model Context Protocol (MCP) server for the Spaceship API. Manage domains, DNS records, contacts, marketplace listings, and more — all through natural language via any MCP-compatible AI client. - 48 tools across 8 categories covering the full Spaceship API - 13 DNS record types with dedicated, type-safe creation tools (A, AAAA, ALIAS, CAA, CNAME, HTTPS, MX, NS, PTR, SRV, SVCB, TL
A Rust-based Model Context Protocol (MCP) server that exposes a V8 JavaScript runtime as a tool for AI agents like Claude and Cursor. Supports persistent heap snapshots via S3 or local filesystem, and is ready for integration with modern AI development environments. - V8 JavaScript Execution: Run arbitrary JavaScript code in a secure, isolated V8 engine. - TypeScript Support: Run TypeScript code d
This project implements a Model Context Protocol (MCP) Server that wraps Cisco pyATS and Genie functionality. It enables structured, model-driven interaction with network devices over STDIO using the JSON-RPC 2.0 protocol. 🚨 This server does not use HTTP or SSE. All communication is done via STDIN/STDOUT (standard input/output), making it ideal for secure, embedded, containerized, or LangGraph-ba
文颜(Wenyan) 是一款多平台 Markdown 排版与发布工具,支持将 Markdown 一键转换并发布至: - 以及其它内容平台(持续扩展中) 文颜的目标是:让写作者专注内容,而不是排版和平台适配。 文颜目前提供多种形态,覆盖不同使用场景: - macOS App Store 版 - MAC 桌面应用 - 跨平台桌面版 - Windows/Linux - CLI 版本 - 命令行 / CI 自动化发布 - 👉 MCP 版本 - 本项目 - 核心库 - 嵌入 Node / Web 项目 本仓库是 文颜的 MCP Server 版本,基于模型上下文协议(Model Context Protocol),旨在让 AI 助手(如 Claude Desktop)具备自动排版和发布公众号文章的能力。 - 与 AI 深度集成:让 AI 帮你管理公众号的排版和发布 - 支持 SSE 模式
A Model Context Protocol (MCP) server that provides search and crawl functionality using Search1API. - Node.js >= 18.0.0 - A valid Search1API API key (See Setup Guide below on how to obtain and configure) 1. Clone the repository: 2. Configure API Key: Before building, you need to provide your Search1API key. See the Setup Guide section below for different methods (e.g., using a .env file or enviro
English | 简体中文 Unsplash MCP Server is used for searching rich, high-quality images. It's ideal for developers who want to integrate Unsplash functionality into their own applications. - Advanced Image Search: Search Unsplash's extensive photo library with filters for: - Keyword relevance - Color schemes - Orientation options - Custom sorting and pagination Before installing this server, you'll nee
Chroma - the open-source embedding database . The fastest way to build Python or JavaScript LLM apps with memory! The Model Context Protocol (MCP) is an open protocol designed for effortless integration between LLM applications and external data sources or tools, offering a standardized framework to seamlessly provide LLMs with the context they require. This server provides data retrieval capabili
Wrap any existing Echo API into MCP tools, enabling AI agents to interact with your API through Model Context Protocol. Inspired by gin-mcp but for the Echo framework. - Zero Configuration: Works with any existing Echo API - Multiple Schema Sources: Support for Swaggo, raw OpenAPI YAML/JSON, and manual schemas - Filtering: Include/exclude endpoints with wildcard patterns - MCP Compatible: Works wi
An MCP (Model Context Protocol) server providing comprehensive email capabilities via IMAP and SMTP. Enables AI assistants to read, search, send, manage, schedule, and analyze emails across multiple accounts. Exposes 47 tools, 7 prompts, and 6 resources over the MCP protocol with OAuth2 support (experimental), email scheduling, calendar extraction, analytics, provider-aware label management, real-
Dependency intelligence infrastructure for AI assistants and agents working with JVM projects. Traditional upgrade workflow: 1. Google "Spring Boot 2.7 to 3.2 migration guide" (5 minutes) 2. Read 50-page migration docs, cross-reference breaking changes (15 minutes) 3. Check Maven Central for compatible dependency versions (5 minutes) 4. Update pom.xml, compile, fix breaking changes (30 minutes) 5.
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
A Rust-based server designed to bridge the gap between a Wazuh Security Information and Event Management (SIEM) system and applications requiring contextual security data, specifically tailored for the Claude Desktop Integration using the Model Context Protocol (MCP). Modern AI assistants like Claude can benefit significantly from real-time context about the user's security environment. The Wazuh
This MCP server provides functionality to fetch web content in various formats, including HTML, JSON, plain text, and Markdown. Available on NPM - fetchhtml - Fetch a website and return the content as HTML - url (string, required): URL of the website to fetch - headers (object, optional): Custom headers to include in the request - maxlength (number, optional): Maximum length to fetch (default 5000
MCPServers.org | ModelScope | (更多MCP平台陆续上架中……) CRIC物业AI 是 克而瑞 专为物业行业打造的智能 AI 助理,于2025年4月25日 正式发布。 CRIC物业AI 通过行业知识库建设,结合多模态大模型 + RAG 技术,集成五大核心能力模块:行业研究、法律法规、社区治理、项目经营、文案写作,并在行业垂类知识基础上,拓展了 资讯舆情 和 人才培训 两大智能体。 克而瑞通过三个能力来构建其自身在物业AI合作领域优势: - 数据资产转化能力: 将10亿字行业语料、TB级多模态数据转化为物业行业的高质量数据集,并构建了一套行业数据质量评估体系,保障准确率和可信度; - 场景穿透能力: 聚焦20+物业行业垂直业务场景,定向选用对应领域知识库,精准匹配; - 生态进化能力: 通过每日实时监测超过500+可信资讯和数据来源,处理10万+实时数据的自更新系