85trust / 100

XFMS — Model Source

by xfms.vercel.app in AI models & inference

MCP serverPassing, checked 8 h ago

Pick the right LLM for any task. Ranked shortlist with rationale across 8 evaluators.

https://xfms.vercel.app/mcp/

Last 30 days

All checks passedSome failedAll failedNot checked
Uptime
100%
Response time
360 ms typical, 360 ms slowest 5%
Last check
8 h ago
Next check
any minute now

How to call it

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "xfms-model-source": {
      "type": "http",
      "url": "https://xfms.vercel.app/mcp/"
    }
  }
}

5 tools

  • rank

    Rank LLMs for a stated purpose. Returns a shortlist with weights, scores, and plain-English rationale per pick. Use when the user wants to see and compare alternatives, not just one answer.

  • pick

    Return the single best LLM for a stated purpose. Concise output, no list. Use when the user has settled on the criteria and just wants one answer.

  • discover

    Show which quality dimensions matter for a stated purpose, WITHOUT ranking any models. Returns the inferred weights and the discovery-walk trace. Useful for understanding how XFMS interprets the purpose before committing to a pick.

  • benchmark

    Run a live A/B test against the engine's TOP 3 PICKS for a stated purpose — the engine chooses the candidates from the full catalog. Generates 5 representative test queries (auto-expands to 10 or 15 if results are too close to call), runs them through the picked models in paralle

  • compare

    Run a live A/B test between 2–5 user-specified models for a stated purpose. NO ranking step — the supplied model_ids ARE the candidate set. Generates 5 representative test queries from the purpose, runs them through every named model in parallel, and returns real cost, latency, a

Security scan

  • No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

Recent checks

WhenResultHTTPTime
8 h agoPassed200360 ms
17 h agoPassed2001.8 s