MCP Servers (Reference)

https://github.com/modelcontextprotocol/servers

Official collection of reference Model Context Protocol servers maintained by the MCP project — currently Everything, Fetch, Filesystem, Git, Memory, Sequential Thinking and Time; earlier servers such as GitHub, Google Drive and PostgreSQL were moved to the servers-archived repo. Substrate for the MCP-memory ecosystem.

Active · Verified 2026-10-27 · fresh as of 2026-10-27 · 42 cited facts, 1 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Tier
T1
Created
2024 repo fix
Latest release
v2.0.1 (2026-10-25) registry fix
Pricing
searched not found fix
Funding
searched not found fix
Freshness
2026-10-27 fix
Layer
agent-infra repo fix
Licensing
open-source repo fix
Deployment locus
local repo fix
Platform vs product
platform repo fix
Maturity
alpha repo fix
SDK languages
python, typescript repo fix
Protocols
mcp-server repo fix

When to use

Optimised for: searched not found

Anti-fit: searched not found

Pros & cons

Pros

searched not found

Cons

searched not found

Claims & capabilities

Anthropic-maintained reference MCP server implementations across filesystem, GitHub, Slack, Postgres, Brave Search.

Technical surface

API surface
searched not found
Backend storage
not applicable — not a memory product
Deployment
Self-hosted only — run locally via npx (TypeScript) or uvx/pip (Python)
Embedding model
not applicable — not a memory product
Multi-tenancy
searched not found
MCP
yes — reference MCP server implementations
A2A
searched not found
OpenTelemetry
searched not found

Similar systems

Other agent frameworks (no first-party memory layer) in the catalog, ranked by inbound references.

  • Model Context Protocol (MCP spec) T1

    Anthropic-introduced open protocol (Nov 2024) for connecting LLMs to data sources and tools. Donated by Anthropic to the Linux Foundation's Agentic AI Foundation (announced 2025-12-09); now governed as Model Context Protocol, a Series of LF Projects, LLC. Supported across Claude, ChatGPT, VS Code, Cursor and many other clients.

  • LangChain (framework) T1

    Dominant Python/JS framework for LLM apps — tool calling, agents, retrievers, runnables. Memory is one component (LangMem cross-listed); the framework itself is the product.

  • Vercel AI SDK T1

    Vercel's TypeScript LLM SDK — streaming, tool calls, structured outputs, agents. Dominant framework for Next.js LLM apps.

  • LlamaIndex (framework) T1

    Data framework for LLM apps — connectors, indices, query engines, agents, workflows. Memory is one of many subsystems (LlamaIndex Memory cross-listed).

  • OpenAI Agents SDK T1

    OpenAI's official Python framework for agents — handoffs, guardrails, tracing built in. Successor to OpenAI Swarm (experimental); officially supported.

  • LangGraph (orchestration) T1

    LangChain's stateful graph runtime for agents — explicit state, persistence, time-travel debugging, human-in-the-loop. Memory is one persistence target (LangGraph Persistence cross-listed).

Sources (41 cited facts, 1 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).

What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-27
    • License “MIT” → “Apache-2.0 (transitioning from MIT; contributions without relicensing consent remain MIT; docs CC-BY-4.0)” source
    • Latest release first recorded as “v2.0.1 (2026-10-25)” source
    • Deployment first recorded as “Self-hosted only — run locally via npx (TypeScript) or uvx/pip (Python)” source
    • MCP support first recorded as “yes — reference MCP server implementations” source
    #270