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Model Context Protocol Servers Reference

referenceintermediate2 min readVerified May 16, 2026

The official Model Context Protocol servers repository, useful as a reference catalog for MCP server implementations and integration patterns.

mcpmodel-context-protocolserversreferenceai-infrastructuregithub

Key Takeaways#

  • Model Context Protocol Servers Reference is best treated as a MCP reference implementation collection rather than a standalone hosted AI product.
  • The source repository is modelcontextprotocol/servers on GitHub: https://github.com/modelcontextprotocol/servers.
  • GitHub shows 85,722 stars and 10,706 forks at verification time. The repository's latest pushed timestamp was 2026-05-12T14:15:10Z. The repository license is listed as Other.
  • Use it as source material, examples, or implementation reference; verify licenses and operational details before copying into production.

What this resource contains#

The official Model Context Protocol servers repository, useful as a reference catalog for MCP server implementations and integration patterns.

OpenTools lists this as a resource because the primary value is the material in the repository: examples, templates, docs, agents, notebooks, or reference implementations that builders can adapt. It is not a single SaaS app with a standard pricing page.

Who should use it#

Use this if you are evaluating MCP server patterns, looking for official server examples, or wiring external tools into Claude or another MCP-compatible client.

How builders can use it#

  1. Review the README first. Start from the repository overview and installation notes before copying code or prompts.
  2. Pick one narrow workflow. Clone only the agents, notebooks, examples, or server definitions that match your use case.
  3. Check dependencies and credentials. Many AI examples require cloud projects, API keys, local runtimes, or MCP-compatible clients.
  4. Run in a sandbox. Treat community examples as starting points. Test prompts, permissions, and file-system access before connecting them to sensitive data.
  5. Track upstream changes. Watch the repository or pin a commit if you rely on it in a production workflow.

Source signals verified#

  • Repository: modelcontextprotocol/servers
  • GitHub description: 'Model Context Protocol Servers'
  • README headings observed: Model Context Protocol servers, 🌟 Reference Servers, Archived, 📚 Frameworks, For servers, For clients, 📚 Resources

Practical evaluation checklist#

Before adopting this resource, check:

  • Does the repository still receive updates?
  • Are setup instructions complete enough for your environment?
  • Are examples tied to a specific model, cloud service, or IDE?
  • Does the license allow your intended use?
  • Can you remove or replace any hard-coded prompts, API keys, or paths?

Caveats#

This page summarizes repository metadata and README content. It does not guarantee that every example is production-ready. For MCP server collections, confirm each server's own package, permissions, and transport before adding it to an AI client. For notebook/sample-code resources, expect some examples to require Google Cloud, local GPU runtimes, or provider-specific credentials.

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On this page

  • Key Takeaways
  • What this resource contains
  • Who should use it
  • How builders can use it
  • Source signals verified
  • Practical evaluation checklist
  • Caveats

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