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
Read the introduction here llmindset.co.uk/resources/mcp-hfspace/ Connect to Hugging Face Spaces with minimal setup needed - simply add your spaces and go! By default, it connects to black-forest-labs/FLUX.1-schnell providing Image Generation capabilities to Claude Desktop. NPM Package is @llmindset/mcp-hfspace. Install a recent version of NodeJS for your platform, then add the following to the mc
- A minimal server/client application implementation utilizing the Model Context Protocol (MCP) and Azure OpenAI. 1. The MCP server is built with FastMCP. 2. Playwright is an an open source, end to end testing framework by Microsoft for testing your modern web applications. 3. The MCP response about tools will be converted to the OpenAI function calling format. 4. The bridge that converts the MCP
mcp-name: io.github.wmarceau/fitness-influencer AI-powered automation suite for fitness content creators. Automates video editing, graphics creation, email management, SMS communication, and revenue analytics. Production URL: https://fitness-influencer-production.up.railway.app (if deployed) When running the API server: Located at: .claude/skills/fitness-influencer-operations/SKILL.md Trigger phra
Generates customer-ready roadmap views and launch timelines from ProductPlan for Sales and Customer Success teams. Use when preparing for customer calls, sharing product direction, or answering "when will feature X ship?" questions.
It is generated with Stainless. You can run the MCP Server directly via npx: There is a partial list of existing clients at modelcontextprotocol.io. If you already have a client, consult their documentation to install the MCP server. For clients with a configuration JSON, it might look something like this: You can run the package on the command line to discover and filter the set of tools that are
The Octagon MCP server provides specialized AI-powered financial research and analysis by integrating with the Octagon Market Intelligence API, enabling users to easily analyze and extract detailed insights from public filings, earnings call transcripts, financial metrics, stock market data, and extensive private market transactions within Claude Desktop and other popular MCP clients. ✅ Comprehens
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
BGG MCP: BoardGameGeek MCP Server BGG MCP provides access to the BoardGameGeek API through the Model Context Protocol, enabling retrieval and filtering of board game data, user collections, and profiles. The server is implemented in Go, using the GoGeek library, which helps ensure robust API interactions. Price data is provided by BoardGamePrices.co.uk, offering real-time pricing from multiple ret
A powerful MCP server for generating, editing, and converting SVG images using SVGMaker API. This very illustration came to life through our own SVGMaker MCP server—a living example of AI assistants and vector graphics working in perfect harmony via the Model Context Protocol. - 🎨 AI-Powered SVG Generation: Create SVGs from text descriptions - ✏️ Smart SVG Editing: Edit existing SVGs with natural
🛡️ AIM MCP Server :: Guard and Protect your MCPs & AI Agents A Model Context Protocol (MCP) server that provides AI-powered security analysis and safety instruction tools. This server helps protect AI agents by providing security guidelines, content analysis, and cautionary instructions when interacting with various MCPs and external services. - 🛡️ AI Safety Guard: Contextual security instructio
Cyclops MCP allows your favorite AI agent to manage your Kubernetes applications. Cyclops MCP servers provide tools for agents to create and update existing applications safely. This means it can check all of your existing templates and the schema of those templates to create accurate and production-ready applications. Your agent now has much less room to make a misconfiguration since it creates h
한국어 | English 1969년 Ken Thompson이 Unix를 만들 때, 그는 출력 대상이 사람이라고 가정했다. 정확히 말하면 터미널 앞에 앉아 있는, 눈이 달린 생물. 반세기가 지났다. 이제 터미널을 읽는 것은 사람만이 아니다. AI 에이전트는 ls -la를 실행하고, 그 출력을 받는다. 그리고 거기서 진짜 작업이 시작된다. 공백을 기준으로 분리하고, 첫 번째 열이 권한이고, 세 번째가 소유자이고, 파일명이 어디서 시작하는지를 토큰을 태워가며 추론한다. 인간의 눈이 0.1초에 처리하는 것을. 이것은 번역이 아니다. 암호화된 적도 없는 메시지를 해독하는 일이다. 세 번의 번역이 일어난다. 첫 번째: 커널이 파일시스템 메타데이터를 stat 구조체로 관리한다. inode, mode, uid, gid,
Helps configure mcp-rubber-duck MCP server in AI coding tools. Triggers when users ask about adding rubber duck to Claude Desktop, Cursor, VS Code, Windsurf, Continue, or any MCP-compatible tool.
⚡ Fully automated MCP server + JADX plugin built to communicate with LLM through MCP to analyze Android APKs using LLMs like Claude — uncover vulnerabilities, analyze APK, and reverse engineer effortlessly. Thanks to these wonderful people for their contributions ⭐ ljt270864457 LilNick0101 - Read The Docs is now live: https://jadx-ai-mcp.readthedocs.io/en/latest/ JADX-AI-MCP is a plugin for the JA
A Model Context Protocol (MCP) server that connects TestDino to AI agents. This server enables you to interact with your TestDino test data directly through natural language commands. This MCP server bridges the gap between your TestDino test management platform and AI agents. Instead of manually navigating the TestDino dashboard, you can ask your AI assistant to: - Check test run results - Analyz
Figma to Flutter MCP Server 🌐 Available in: 한국어 (Korean) | 日本語 (Japanese) | 简体中文 (Simplified Chinese) | 繁體中文 (Traditional Chinese) Utilize Figma's rich data in your coding agent. Implement designs in Flutter way! Use Cursor or other AI-powered tools to access Figma's rich files, data, components and much more using MCP server. - 🦋 Observable Flutter 70 - 🎥 Short Video Demo - 📝 Getting Started
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
An MCP server providing a range of cryptocurrency technical analysis indicators and strategies, empowering AI trading agents to efficiently analyze market trends and develop robust quantitative strategies. For more crypto-related MCP servers, see the Kukapay MCP servers. - Technical Indicators: 50+ indicators across trend, momentum, volatility, and volume categories. - Trading Strategies: Correspo
Self-hosted MCP server for your documentation. Index your documentation from across the sources and serve it via the Model Context Protocol (MCP) and REST API. ContextMCP creates a searchable knowledge base from your documentation that AI assistants can query via the Model Context Protocol (MCP). 1. Parse - Extract content from your docs, APIs, and READMEs 2. Chunk - Split into semantic chunks opt
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
A Model Context Protocol (MCP) server for bulk Spotify operations - batch playlist creation, library exports, and large-scale library management. What makes this different from other Spotify MCPs? - Confidence scoring - Batch searches return HIGH/MEDIUM/LOW confidence for each match - Human-in-the-loop - Uncertain matches are exported for review, then re-imported - Bulk operations - Handle 500+ so
RevolutionAI is an MCP-native freelance marketplace built for SaaS founders who live in their AI tools. Building a startup means constantly context-switching: - Need a dev? → Open Upwork, post job, wait days - Need a designer? → Jump to Dribbble or Fiverr - Need a marketer? → LinkedIn, emails, calls Every switch kills your flow. You're supposed to be building, not bouncing between 10 tabs. Stay in
A Model Context Protocol (MCP) server for tracking cryptocurrency whale transactions using the Whale Alert API - Prerequisites - Installation - Running in Development Mode - Integrating with Claude Desktop - Direct Execution - API Key Configuration - Acknowledgements The whale-tracker-mcp server is a Python-based implementation of the Model Context Protocol (MCP) that integrates with the Whale Ale
An MCP (Model Context Protocol) server that exposes a collection of system prompts, summaries, and tool definitions from popular AI tools as MCP tools for AI coding environments like Cursor and Claude Desktop. - 🔍 Automatic Discovery – Every prompt in prompts/ is automatically exposed as an MCP tool - 🎯 Model-Aware Suggestions – Get prompt recommendations based on your LLM (Claude, GPT, Gemini,