MCP Servers

A directory of curated & open-source Model Context Protocol servers. Search and discover MCP servers to enhance your AI capabilities.

Magic UI

Magic UI's official MCP server gives your AI-assisted IDE direct access to all Magic UI components so that it can generate code with minimal errors.

Product Hunt

The Product Hunt MCP Server connects Product Hunt's API to any LLM or agent.

Mem0

An MCP server for Mem0 that provides AI agents with persistent memory capabilities.

Nexonco

An MCP server for accessing clinical evidence from the CIViC (Clinical Interpretation of Variants in Cancer) database.

After Effects

An MCP server for Adobe After Effects that enables you to control After Effects through a standardized protocol.

Raindrop

An MCP server that allows you to interact with Raindrop's bookmarking service.

LinkedIn

An MCP server that allows you to scrape LinkedIn profiles, companies, jobs, and perform job searches.

Minesweeper

An MCP server that allows your MCP clients to play a game of Minesweeper.

RedNote

An MCP server that allows you to interact with RedNote (XiaoHongShu).

Google Sheets

An MCP server that allows AI agents to interact with Google Sheets spreadsheets directly.

MiniMax

MiniMax's official MCP server that enables interaction with powerful Text to Speech and video/image generation APIs.

Computer-Use Agent

Computer-Use Agent's official MCP server that allows you to run CUA through Claude Desktop or other MCP clients.

Linear

An MCP server for Linear API that provides integration with Linear's issue tracking system.

Resend

Resend's official MCP server that sends emails using Resend's API.

21st Dev

21st.Dev's official MCP server that helps developers create beautiful, modern UI components instantly through natural language descriptions. 

Code Runner

An MCP server that allows you to run any code snippets and show the result on your MCP clients.

Unsplash

An MCP server that allows you to search and interact with Unsplash images.

BigQuery

A BigQuery MCP server that allows LLMs to inspect database schemas and execute queries.

Duckdb

An MCP server that enables you to interact with Duckdb.

FAQs

Q: What exactly is the Model Context Protocol (MCP)?

A: MCP is an open standard, like a common language, that lets AI applications (clients) and external data sources or tools (servers) talk to each other. It helps AI models get the context (data, instructions, tools) they need from outside systems to give more accurate and relevant responses. Think of it as a universal adapter for AI connections.

Q: How is MCP different from OpenAI's function calling or plugins?

A: While OpenAI's tools allow models to use specific external functions, MCP is a broader, open standard. It covers not just tool use, but also providing structured data (Resources) and instruction templates (Prompts) as context. Being an open standard means it's not tied to one company's models or platform. OpenAI has even started adopting MCP in its Agents SDK.

Q: Can I use MCP with frameworks like LangChain?

A: Yes, MCP is designed to complement frameworks like LangChain or LlamaIndex. Instead of relying solely on custom connectors within these frameworks, you can use MCP as a standardized bridge to connect to various tools and data sources. There's potential for interoperability, like converting MCP tools into LangChain tools.

Q: Why was MCP created? What problem does it solve?

A: It was created because large language models often lack real-time information and connecting them to external data/tools required custom, complex integrations for each pair. MCP solves this by providing a standard way to connect, reducing development time, complexity, and cost, and enabling better interoperability between different AI models and tools.

Q: Is MCP secure? What are the main risks?

A: Security is a major consideration. While MCP includes principles like user consent and control, risks exist. These include potential server compromises leading to token theft, indirect prompt injection attacks, excessive permissions, context data leakage, session hijacking, and vulnerabilities in server implementations. Implementing robust security measures like OAuth 2.1, TLS, strict permissions, and monitoring is crucial.

Q: Who is behind MCP?

A: MCP was initially developed and open-sourced by Anthropic. However, it's an open standard with active contributions from the community, including companies like Microsoft and VMware Tanzu who maintain official SDKs.

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