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Abhiindigloo/EvalHarnessMCP server

Find the cheapest AI model that passes your tests: audit repo models, build evals, routing, sizing

Scanned · 1 to knowMCP serverSource: Official MCP Registry
7 stars Updated yesterday License MIT
57popular

Why this score

Installs in real projects3/25
Stars2/10
Usage (forks)2/15
Upkeep25/25
License15/15
Owner history10/10

Installs in real projects: we can't search for this one (it has no fixed package name or address), so it's scored as a typical MCP server.

Popularity score: 57/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Nov 4, 2026 at the PyPI package model-finder-mcp@1.3.7, with Cisco's open-source skill-scanner.

What its code does:

  • Makes network requestsskills/eval-models/scripts/mf_core.py:515, skills/route-models/scripts/mf_core.py:515

Web addresses in its code:

  • api.anthropic.comskills/eval-models/scripts/mf_core.py:32
  • api.openai.comskills/eval-models/scripts/mf_core.py:33
  • generativelanguage.googleapis.comskills/eval-models/scripts/mf_core.py:34
  • docs.litellm.aiskills/route-models/scripts/make_routing.py:32

These are the sites named in the code, so it's where your data could go. It isn't a complete list: code can build addresses while it runs, and a few of these may be links rather than calls. Whatever you send also goes to the AI model you use.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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