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
Ever wanted to ask Elon Musk about first principles? Get Warren Buffett's take on your investment? Have Steve Jobs roast your product design? Get Paul Graham and Marc Andreessen to debate your startup idea? Now you can. With Party Mode, multiple legends can discuss your questions together! Claude Code (~/.claude/settings.json): That's it. No API key needed. Restart Claude Code and start chatting!
A Model Context Protocol (MCP) server that connects to the Databricks Genie API, allowing LLMs to ask natural language questions, run SQL queries, and interact with Databricks conversational agents. - List Genie spaces available in your Databricks workspace (Currently Manual/Using Resource) - Fetch metadata (title, description) of a specific Genie space - Start new Genie conversations with natural
MCP Server for Japanese corporate data — search companies, financials, patents, subsidies, and government statistics via official government APIs. 日本企業データMCPサーバー — gBizINFO・EDINET・e-Statの政府APIから企業情報をAIが直接取得できます。 You need API keys from the following government services: Add to your claudedesktopconfig.json: Add to .cursor/mcp.json: Once configured, you can ask your AI assistant: - "ソニーグループの企業情報を教えて
Implementation of an MCP server for the RAG Web Browser Actor. This Actor serves as a web browser for large language models (LLMs) and RAG pipelines, similar to a web search in ChatGPT. The easiest way to get the same web browsing capabilities is to use mcp.apify.com with default settings. - ✅ No local setup required - ✅ Always up-to-date - ✅ Access to 6,000+ Apify Actors (including RAG Web Browse
ROS-MCP-Server connects large language models (such as Claude, GPT, and Gemini) with existing robots giving them bidirectional AI integration. With no changes to existing robot source code, this enables: - 🗣 Commanding the robot in natural language → instructions are translated into ROS/ROS2 commands. - 👀 Giving AI full visibility → subscribe to topics, call services, read sensor data, and monit
A MCP Server implemented in Node.js/TypeScript, facilitating interactive communication between LLMs and users. Note: This server is designed to run locally alongside the MCP client (e.g., Claude Desktop, VS Code), as it needs direct access to the user's operating system to display notifications and command-line prompts. (Note: This project is in its early stages.) Want a quick overview? Check out
An MCP server for managing and sharing your personal knowledge, daily notes, and reuseable prompts via GitHub Gists. It's a companion to the GistPad VS Code extension and GistPad.dev (for web/mobile), which allows you to access and edit your gists from any MCP-enabled AI product (e.g. GitHub Copilot, Claude Desktop). - 🏃 Getting started - 🛠️ Included tools - 📁 Included resources - 💬 Reusable p
A mcp server that bridges Dune Analytics data to AI agents. - getlatestresult: Fetch the latest results of a Dune query by ID. - runquery: Execute a Dune query by ID and retrieve results. - CSV Output: All results are returned as CSV-formatted strings for easy processing. - Python 3.10+ - A valid Dune Analytics API key (get one from Dune Analytics) To install Dune Analytics for Claude Desktop auto
A Model Context Protocol (MCP) server for Homebrew package management on macOS, designed for seamless integration with Claude Desktop and other MCP-compatible clients. - Language: Python 3.13 - MCP: Model Context Protocol - Package Manager: Homebrew (macOS) - Venv/Dependency Manager: uv - Exposes Homebrew commands as MCP tools. The supported commands are grouped by function: - Package Management:
This is a Model Context Protocol (MCP) server that provides AI assistants with access to Stadia Maps APIs for location services, geocoding, routing, and mapping capabilities. - Time information anywhere on earth - Current time - Time zone info (ID, UTC offset, and whether a special offset like daylight saving/summer time is in effect) - Geocoding - Address lookup - Place search (POIs like restaura
AI image enhancement for LLMs. An MCP server that lets Claude and other AI assistants enhance images using Topaz Labs AI models. Topaz Labs makes AI-powered image and video enhancement software used by photographers, filmmakers, and developers worldwide. Enhanced with the Wonder 2 model. View interactive comparison → Sign up at developer.topazlabs.com. Add to your Claude Desktop config (~/Library/
This MCP server integrates with Google Drive to allow listing, reading, and searching files, as well as the ability to read and write to Google Sheets. This project includes code originally developed by Anthropic, PBC, licensed under the MIT License from this repo. - gdrivesearch - Description: Search for files in Google Drive. - query (string): Search query. - pageToken (string, optional): Token
The firewall for AI agents. Open-source policy enforcement for MCP. Website: policylayer.com Intercept is a deterministic enforcement proxy for the Model Context Protocol (MCP). It sits between an AI agent and an MCP server, evaluating every tools/call request against YAML-defined policies. Violating calls are blocked at the transport layer before reaching the upstream server. MCP gives AI agents
Product Hunt MCP Server connects Product Hunt's API to any LLM or agent that speaks the Model Context Protocol (MCP). Perfect for AI assistants, chatbots, or your own automations! - 🔍 Get posts, collections, topics, users - 🗳️ Get votes, comments, and more - 🛠️ Use with Claude Desktop, Cursor, or any MCP client - Get detailed info on posts, comments, collections, topics, users - Search/filter b
Simple utility to combine multiple files into one. Fast, secure, and easy to use. - Simple - Merge any number of files with a single command - Fast - Efficiently combines files of any size - Secure - Only accesses directories you allow - Detailed - Reports file sizes and merge summary - mergefiles - inputPaths (string[]): Files to merge - outputPath (string): Output file location - Success message
MCP server implementation for Kibela API integration, enabling LLMs to interact with Kibela content. - Search notes with advanced filters - Get your latest notes - Get note content and comments - Manage groups and folders - Like/unlike notes - List users - View note attachments - View recently viewed notes - Get notes by path - KIBELATEAM: Your Kibela team name (required) - KIBELATOKEN: Your Kibel
MCP Server for the Giphy API, enabling AI models to search, retrieve, and utilize GIFs from Giphy. - Content Filtering: Filter results by rating (G, PG, PG-13, R) to ensure appropriate content - Optimized Response Format: Response data optimized for AI model consumption - Multiple Search Methods: Support for query-based, random, and trending GIF retrieval - Comprehensive Metadata: Each GIF comes w
A Model Context Protocol (MCP) server implementation that integrates with SerpApi for comprehensive search engine results and data extraction. - Multi-Engine Search: Google, Bing, Yahoo, DuckDuckGo, YouTube, eBay, and more - Engine Resources: Per-engine parameter schemas available via MCP resources (see Search Tool) - Real-time Weather Data: Location-based weather with forecasts via search queries
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
A Model Context Protocol (MCP) server that lets AI assistants like Claude control Apple Shortcuts automations. This enables AI models to trigger shortcuts and automate tasks on macOS in a safe and controlled way. The Model Context Protocol (MCP) is a system that lets AI apps, like Claude Desktop, connect to external tools and data sources. It gives a clear and safe way for AI assistants to work wi
Read-only MCP server for AI agents to query the Arcology One engineering knowledge base. Add to ~/.claude/claudedesktopconfig.json: Then point DNS: mcp.lifewithai.ai → Fly.io app.
A next-generation framework documentation provider for Claude Code via Model Context Protocol (MCP). Provides query-focused API context by extracting TypeScript definitions directly from npm packages - delivering minimal, accurate information instead of dumping entire documentation pages. mcp-name: dev.augments/mcp Version 4.0 introduces a fundamentally new approach to framework documentation: Doc
An MCP server implementation for retrieving information from Pinecone Assistant. - Retrieves information from Pinecone Assistant - Supports multiple results retrieval with a configurable number of results - Docker installed on your system - Pinecone API key - obtain from the Pinecone Console - Pinecone Assistant API host - after creating an Assistant (e.g. in Pinecone Console), you can find the ho
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