XFMS — Model Source
by xfms.vercel.app in AI models & inference
Pick the right LLM for any task. Ranked shortlist with rationale across 8 evaluators.
https://xfms.vercel.app/mcp/
Last 30 days
- 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
| When | Result | HTTP | Time |
|---|---|---|---|
| 8 h ago | Passed | 200 | 360 ms |
| 17 h ago | Passed | 200 | 1.8 s |