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ModelLens MCP Server

See which models actually work: probe, rank and recommend across OpenAI-compatible gateways.

ModelLens scores 55 (Fair), with no SPDX license recorded. It installs as a local process. It does not declare tools yet. Filed under AI and memory. Install configs are generated for 10 clients. Being listed in the registry is not the same as being vendor-official.

by greatbeingNo license
Trust score
55Fair
Trust score 55 of 100, Fair

Fair trust

55 of 100 from six public signals. Nobody can buy a point.

  • Listed in the official MCP registry.
  • No license recorded.
How we score trust
Scorecard

License, quality and maintenance

How grades work
Trust breakdown

Where the 55 comes from

22 + 20 + 0 + 0 + 10 + 3 = 55. Each factor is capped, so no single signal can carry a listing.

Registry22 / 30

Active in the official MCP registry, plus a known vendor namespace.

Registry: 22 of 30 points.
Maintenance20 / 20

How recently the repository saw a commit or release.

Maintenance: 20 of 20 points.
Popularity0 / 20

GitHub stars and weekly downloads, on a log scale.

Popularity: 0 of 20 points.
License0 / 10

A clear, OSI-style open-source license.

License: 0 of 10 points.
Security10 / 10

Not archived, a secure install path, a pinned version.

Security: 10 of 10 points.
Docs3 / 10

A real summary, a README with depth, listed tools.

Docs: 3 of 10 points.

Install

Pick your client, copy the config, paste it in.

~/Library/Application Support/Claude/claude_desktop_config.json
{  "mcpServers": {    "greatbeing-modellens": {      "command": "python3",      "args": [        "modellens-mcp"      ],      "env": {        "MODELLENS_CONFIG": "",        "MODELLENS_DATA": ""      }    }  }}

Environment variables

NameRequiredNotes
MODELLENS_CONFIGOptionalPath to the endpoint configuration JSON
MODELLENS_DATAOptionalPath to the probe history JSON

Tools show up when the registry metadata or the repository README lists them. Public READMEs are read directly. A GitHub token is used only when one is already configured.

About

See which models actually work: probe, rank and recommend across OpenAI-compatible gateways.

Frequently asked questions

What is ModelLens MCP Server?

See which models actually work: probe, rank and recommend across OpenAI-compatible gateways.

How do I install ModelLens MCP Server in Claude Desktop, Cursor, or VS Code?

Pick your client in the Install section on this page and copy the generated config into the client's config file. Step-by-step guides: Claude Desktop, Cursor, and VS Code. ModelLens MCP Server is published as the PyPI package modellens-mcp.

Does ModelLens MCP Server support remote (HTTP) connections?

No remote endpoint is listed for ModelLens MCP Server. It runs locally on your machine over stdio, started by your MCP client.

How is ModelLens MCP Server's trust score calculated?

ModelLens MCP Server scores 55 out of 100 (Fair). The score adds six capped public signals: registry status, maintenance, popularity, license, documentation, and security. Nobody can pay for points. Read the methodology for the full formula.

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