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MCP Servers

MCP Servers

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Community-driven directory aggregating MCP tool servers for AI clients.

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MCP Servers

MCP Servers (mcp.so) is a third-party aggregation directory built for Anthropic's Model Context Protocol (MCP) standard. It brings together more than 23,000 tool configurations that let AI assistants like Claude and Cursor connect to local and external data, making it an essential navigation hub for developers extending what large language models can do.

Core Capabilities

  • Massive directory aggregation: Catalogs 23,000+ MCP Servers and companion clients, covering integrations from local databases and file systems to mainstream third-party APIs.
  • Smart categorized discovery: Offers four dedicated categories — Featured, Latest, Official, and Innovation — sharply reducing the time needed to find high-priority tools.
  • Ready-to-use configuration: Provides a standardized JSON launch parameters and environment variable template for every listed server with one-click copy, eliminating tedious manual configuration.
  • Broad ecosystem compatibility: Fully supports Claude Desktop and mainstream AI clients like Cursor and Windsurf, seamlessly bridging LLMs and local development workflows.
  • Multiple runtime modes: Beyond the mainstream STDIO-based local process mode, the platform progressively adds SSE-hosted servers that support remote invocation.
  • Community-driven ecosystem: An open submission process encourages developers worldwide to contribute innovative protocol tools via GitHub, creating an active UGC aggregation flywheel.

Who It's For Best suited to AI developers, software engineers, and tinkerers who want to push past the limits of large models. Whether you want Cursor to read and modify a local database directly or have Claude connect to GitHub and Notion to automate workflows, you'll find standardized connection configurations here.

What Sets It Apart Compared with heavily integrated enterprise hosted platforms, mcp.so sticks to a minimal "lightweight directory display + configuration copy" model, earning it the reputation of being the npm registry of the AI era. Its pure navigation positioning makes it the fastest and completely free first stop for cutting-edge MCP resources.

Editor's Take As a key hub of the early MCP protocol ecosystem, mcp.so is indispensable infrastructure for building the next generation of agentic AI workflows. Although it still has room to improve on automatically resolving local runtime dependencies, its enormous catalog and very low configuration barrier make it a treasure trove for every developer exploring AI's potential. It is currently the best choice for expanding your AI assistant's toolbox.

Pricing

### 💰 定价模式：完全免费 **起步价**：免费 #### 主要方案 - **免费版**：完全免费 - 自由浏览、搜索和复制超过 2.3 万个 MCP Server 的 JSON 配置参数，无需注册账户。 #### 试用/其他信息 平台作为开源社区目录免费提供，但使用某些调用第三方商业 API 的 MCP Server 时，可能需要用户自行承担对应的 API 密钥或订阅费用。

FAQ

Is MCP Servers (mcp.so) free?

Yes. As a community-driven open-source directory platform, mcp.so is completely free. You can freely browse and copy all server configurations with no payment or registration required.

What can MCP Servers (mcp.so) be used for?

It helps developers quickly find, discover, and configure MCP protocol tool servers, letting AI clients like Claude Desktop or Cursor easily connect to databases, local files, or third-party APIs.

Which AI clients does MCP Servers (mcp.so) support connecting to?

It currently mainly supports mainstream clients compatible with the MCP protocol — most notably Anthropic's Claude Desktop, along with the popular AI code editors Cursor and Windsurf.

How do I configure a tool from MCP Servers (mcp.so) in my project?

After finding the tool on the platform, copy the JSON configuration snippet provided on its page and paste it into your client's configuration file (such as claude_desktop_config.json), then restart the app for it to take effect.

How does MCP Servers (mcp.so) differ from platforms like Smithery?

Smithery leans toward npm-style one-click CLI installation, while mcp.so focuses on a lightweight directory aggregation model, lowering the barrier by providing JSON configuration snippets directly, with a much larger catalog.

Do I need a local environment to run servers from MCP Servers (mcp.so)?

Mostly yes. mcp.so mainly provides the directory and configuration code, but for the many servers that run over STDIO, you still need to pre-install local runtimes such as Node.js or Python.