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MCP Official Servers

The canonical reference MCP servers — filesystem, fetch, memory, SQLite, and more, straight from the spec maintainers.

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About

modelcontextprotocol/servers (91k stars) is the official collection of reference MCP server implementations maintained alongside the Model Context Protocol spec: filesystem, fetch, memory, sequential-thinking, SQLite, and others.

These are the safe defaults the ecosystem standardizes on — intentionally minimal in places, which is a feature for security review, not a gap. Licenses are mixed per-server (predominantly MIT), so check the individual server you deploy. The repo also links all ten official MCP SDKs (TypeScript, Python, Go, Rust, Java, Kotlin, C#, PHP, Ruby, Swift).

What it can do

  • Reference implementations for the most common server patterns (files, fetch, memory, git, sqlite)
  • The canonical examples the whole MCP ecosystem standardizes against
  • Links to all ten official MCP SDKs for building your own servers/clients
  • Minimal, auditable codebases — good starting points for security review
  • Active maintenance from the spec stewards (pushed Oct 2026)

Setup

  1. Pick a server from the repo (e.g. filesystem, fetch, memory, sqlite).
  2. Run it via npx/uvx exactly as its README shows — no install step needed for most.
  3. Add the command to your MCP client's config (Claude Code, Cursor, etc.).
  4. Scope filesystem servers to specific directories using their path arguments.
  5. For production use, prefer the hosted/packaged variants over npx where available.

Prerequisites

Node.js (npx) or uv (uvx) depending on the server; an MCP-compatible client.

Use cases

mcpmcp-serverstool-integrationprototyping

Works with

Claude CodeclaudeCursorWindsurfCopilotclineAny agent (.md)

Trust score — 9/10

/10 trustVerified

Scored 9/10 (verified tier). At 91k stars this is the most-starred MCP repo in existence and the canonical reference from the spec maintainers — the safest default in the category. Docked one point: licenses are mixed per-server (mostly MIT, but verify each), and reference servers are deliberately minimal, so production hardening (auth, sandboxing, resource limits) is on you.

★ 91,183 GitHub stars

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
9.2/10
Maintenance · recency, releases, issue load
9.2/10
Openness · license + docs
8.6/10
Manual review · sanity read + red-flag check
9.0/10
  • · 91,183 GitHub stars (log-scaled vs catalog peers)
  • · last push 1d ago; 9 releases/12mo; 488 open issues
  • · manual review: canonical reference servers (91k stars), the safe default; minimal by design; production hardening is on you

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.