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Most mentioned MCPs across Reddit, Dev.to, and Product Hunt (updated daily)
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Quick search through our complete catalog of Model Context Protocols
Growing Daily: We're actively scanning and analyzing new MCPs from over 4,000+ available protocols. Check back regularly for newly security-analyzed additions.
Official MCP server for filesystem
The TypeScript AI agent framework. ⚡ Assistants, RAG, observability. Supports any LLM: GPT-4, Claude, Gemini, Llama.
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.
Make your AI agent speak every language on the planet, using [Lingo.dev](https://lingo.dev) Localization Engine.
A mcp server to allow LLMS gain context about shadcn ui component structure,usage and installation,compaitable with react,svelte 5,and vue
A Model Context Protocol server for searching and analyzing arXiv papers
The Simple Agent Development Kit.
An official Qdrant Model Context Protocol (MCP) server implementation
Search engine for AI agents (search + extract) powered by [Tavily](https://tavily.com/)
MCP server for document format conversion using pandoc.
A CLI for interacting with GitKraken APIs. Includes an MCP server via `gk mcp` that not only wraps GitKraken APIs, but also Jira, GitHub, GitLab, and more.
An MCP service for deploying HTML content to EdgeOne Pages and obtaining a publicly accessible URL.
A collection of Model Context Protocol (MCP) servers, clients and developer tools by IBM.
A TypeScript framework for building MCP servers elegantly
MCP Server For [Apache Doris](https://doris.apache.org/), an MPP-based real-time data warehouse.
Model Context Protocol (MCP) implementation for Opik enabling seamless IDE integration and unified access to prompts, projects, traces, and metrics.
Turn your [Make](https://www.make.com/) scenarios into callable tools for AI assistants.
Remote server (SSE/Streamable) for the latest Svelte and SvelteKit documentation
Connect to any function, any language, across network boundaries using [AgentRPC](https://www.agentrpc.com/).
StarRocks MCP (Model Context Protocol) Server
Model Context Protocol server that integrates AgentQL's data extraction capabilities.
MCP server for connecting agentic systems to search systems via searXNG
[Vectorize](https://vectorize.io) MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.
A MCP server that provides real-time cryptocurrency market data through CoinCap's public API without requiring authentication
Integrate real-time [Scrapeless](https://www.scrapeless.com/en) Google SERP(Google Search, Google Flight, Google Map, Google Jobs....) results into your LLM applications. This server enables dynamic context retrieval for AI workflows, chatbots, and research tools.
Token-efficient access to OpenAPI/Swagger specs via MCP Resources
🧠 𝑴𝒆𝒎𝒐𝒓𝒚-𝑷𝒍𝒖𝒔 is a lightweight, local RAG memory store for MCP agents. Easily record, retrieve, update, delete, and visualize persistent "memories" across sessions—perfect for developers working with multiple AI coders (like Windsurf, Cursor, or Copilot) or anyone who wants their AI to actually remember them.
Human-in-the-loop platform - Allow AI agents and automations to send requests for approval to your [gotoHuman](https://www.gotohuman.com) inbox.
Gitee API integration, repository, issue, and pull request management, and more.
Execute any LLM-generated code in the [YepCode](https://yepcode.io) secure and scalable sandbox environment and create your own MCP tools using JavaScript or Python, with full support for NPM and PyPI packages
Manage [Buildkite](https://buildkite.com) pipelines and builds.
Enable AI Agents to purchase anything in a secure way using [Fewsats](https://fewsats.com)
Manage and query databases, tenants, users, auth using LLMs
Generate high-quality text-to-speech and text-to-voice outputs using the [DAISYS](https://www.daisys.ai/) platform.
Equip AI agents with evaluation and self-improvement capabilities with [Root Signals](https://www.rootsignals.ai/)
Manage and utilize website content within the [DevHub](https://www.devhub.com) CMS platform
A Model Context Protocol (MCP) server that enables AI assistants to integrate with Prometheus Alertmanager
Dynamically search and call tools using [UnifAI Network](https://unifai.network)
AI-powered SVG animation generator that transforms static files into animated SVG components using the [Allyson](https://allyson.ai) platform
Navigate your OpenTelemetry resources, investigate incidents and query metrics, logs and traces on [Dash0](https://www.dash0.com/).
Shipment tracking api and logistics management capabilities through the [TrackMage API] (https://trackmage.com/)
Fulcra Context MCP server for accessing your personal health, workouts, sleep, location, and more, all privately. Built around [Context by Fulcra](https://www.fulcradynamics.com/).
MCP Server for [PGYER](https://www.pgyer.com/) platform, supports uploading, querying apps, etc.
MCP tool for analyzing issues reported by Sentry and providing automated fix suggestions
Learn About MCPs
Explore our comprehensive guides and tutorials to master Model Context Protocols
Discover how Model Context Protocol revolutionizes AI agent development with standardized connections between LLMs and external systems. The future of AI integration starts here.
Read More →Master MCP setup across VS Code, Claude Desktop, and Cursor. Step-by-step instructions for getting MCP servers running in your favorite AI development environments.
Read More →Your comprehensive guide to implementing MCPs in your projects. From basic setup to advanced configurations, learn everything you need to build powerful AI-enabled applications.
Read More →Why MCP Hunt is Different
Model Context Protocols (MCPs) are powerful tools that extend AI capabilities, but with great power comes great risk. Unlike other directories that simply list available MCPs, we take security seriously. Every single MCP in our directory undergoes rigorous daily security analysis to protect you from potential threats.
Daily Security Scans
Automated analysis for credential exposure, command injection vulnerabilities, and prompt manipulation risks.
Real Usage Tracking
Monitor adoption trends across GitHub stars, Reddit discussions, and developer communities to find proven tools.
Curated Collections
Hand-picked productivity boosters and category-specific recommendations based on security analysis and community validation.
Our automated security analysis runs every 24 hours, checking for updates and scanning new code changes. We analyze token handling, file system access patterns, network requests, and command execution flows. This means you can confidently choose MCPs knowing they've been vetted for common security pitfalls.
Beyond security, we track real-world adoption metrics. Our momentum scoring combines GitHub activity, community discussions, and implementation patterns to surface MCPs that developers actually use and trust. Whether you're looking for productivity tools, API integrations, or specialized protocols, you'll find security-verified options with proven track records.