Model Finder MCP server

Find the cheapest AI model that passes your own tests, and keep it that way. Claude · Gemini · OpenAI · Bedrock · Vertex AI · local models — published by Indigloo

Install  ·  How it works  ·  MCP tools  ·  Quick start  ·  Privacy  ·  Security

<!-- mcp-name: co.indigloo/model-finder -->

[!NOTE]

Runs locally. Model Finder is a set of four Agent Skills plus a local MCP server (mcp/server.py, Python 3.9+ standard library, no dependencies). The server makes no network calls, needs no API keys, never writes files and never sends anything to Indigloo. Only the eval script and the router it generates call model providers, with your own keys, when you run them.

How it works

flowchart LR
    A["Audit<br/><sub>models and SDKs in your repo</sub>"] --> B["Draft evals<br/><sub>from your prompts, PII dropped</sub>"]
    B --> C["Evaluate<br/><sub>your keys · pass rate · latency · cost</sub>"]
    C --> D["Rank<br/><sub>cost per passing answer</sub>"]
    D --> E["Route<br/><sub>cheapest first, escalate on failure</sub>"]
    F["Size<br/><sub>weights + KV cache vs your GPU</sub>"] -.-> C
    classDef step fill:#f3f0e8,stroke:#1c1b19,color:#1c1b19;
    classDef pick fill:#f3f0e8,stroke:#cd462a,color:#cd462a;
    class A,B,C,E,F step;
    class D pick;

Advisory only: nothing is deployed, your active model is never changed, and data goes only to providers you configure and approve. Personal data and secrets are blocked before sending by default; see DATA-PROTECTION.md for how this maps to India's DPDP Act.

Install

Requires Python 3.9+ on your PATH as python3 (see Windows). Nothing to pip install.

Shortened. The full README is on GitHub.