MCP Vetted

ratel

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 retrieval. No vector DB. No embeddings.

Repository
ratel-ai/ratel
Stars
151
Last push
2026-07-02
License
MIT
Category
Search & Retrieval

Score breakdown — how scoring works

  • Maintenance

    30 / 30
    • Pushed within 14 days1 days ago+30

  • Adoption

    12.7 / 25
    • GitHub stars (no package published — stars weighted fully)151+12.7

  • Documentation

    18 / 25
    • Substantial README (2,500+ chars)4887 chars+8
    • Install / setup instructionsyes+6
    • Tools / capabilities documentedno+0
    • Code or client-config exampleyes+4

  • Trust signals

    9 / 20
    • OSS license declaredMIT+7
    • First-party vendor implementationno+0
    • DNS-verified registry namespaceno+0
    • Listed in official MCP Registryno+0
    • Owned by an organizationyes+2

Install

From sourcegit clone https://github.com/ratel-ai/ratel

No package published to a registry — see the README for setup instructions.

Always review a server's code and required credentials before connecting it to your MCP client. MCP Vetted scores public metadata — it does not audit code for malicious behavior (yet). Methodology →

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