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MCP Servers Directory

Community MCP server registry

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Community-curated directory of Model Context Protocol (MCP) servers that extend AI assistants like Claude with real-world capabilities — file access, database queries, API integrations, browser control, and more. Lists servers organized by category (developer tools, data, productivity) with installation instructions and compatibility info. Helps developers discover and connect MCP servers to their AI workflows. Essential resource for the growing MCP ecosystem.

MCPServers.org is an open-source curated directory of Model Context Protocol (MCP) servers, providing developers and AI practitioners with a centralized catalog for discovering, evaluating, and integrating MCP-compatible tools into their AI applications. It solves the discoverability challenge in the rapidly growing MCP ecosystem by organizing servers into categories, providing descriptions, installation instructions, and links to source repositories. As MCP has become the standard protocol for connecting AI assistants to external tools and data sources, MCPServers.org serves as a community-maintained index that helps developers find the right server implementations for their specific needs.

The directory features a comprehensive collection of MCP servers covering diverse capabilities including file system access, database connections, API integrations, browser automation, code execution, cloud infrastructure management, and specialized domain tools. Each listing includes information about the server type, supported transport protocols, installation methods, and compatibility with popular MCP clients like Claude, Cursor, and other AI development tools. The site is maintained as an open-source project based on the awesome-mcp-servers GitHub repository, welcoming community contributions and ensuring the catalog stays current with the rapidly evolving MCP ecosystem.

MCPServers.org targets AI developers, DevOps engineers, and teams building AI-powered applications who need to discover and evaluate MCP server implementations for extending their AI assistants with external capabilities. It complements other MCP registries like Smithery, Glama, and PulseMCP by providing a clean, open-source alternative focused on community curation rather than commercial hosting. The directory is particularly useful for developers getting started with MCP who want to explore available integrations, compare different server implementations for similar use cases, and find well-maintained open-source servers they can deploy in their own infrastructure.

Pricing

Free

Platforms

Web

Categories

Agent Skills & PromptsMCP Servers

Tags

MCPOpen SourceAgentic

Use Cases

API IntegrationAgentic Development

Alternatives

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Registry and management platform for Model Context Protocol (MCP) servers that helps teams securely discover, install, deploy, and connect MCP servers for AI assistants. Smithery combines a searchable catalog, CLI setup, hosted deployments, namespaces, connection APIs, and scoped service-token flows for clients such as Claude, Cursor, Windsurf, and Codex.

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Platform for running MCP servers securely in WebAssembly sandboxes. One-click install for Claude Desktop, VS Code, and other MCP-compatible clients with no Docker required. Simplifies MCP server deployment and management by handling isolation, security, and distribution, making it easy to extend AI assistants with custom tools without infrastructure overhead.

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