dev.xpansion/xfms · v0.4.0 · productivity
XFMS — Model Source is healthy: it completed an MCP handshake in 2702 ms and exposes 5 tools. It scores 58/100.
Pick the right LLM for any task. Ranked shortlist with rationale across 8 evaluators.
Endpoint: https://xfms.vercel.app/mcp/ (streamable-http)
Repository · Website · JSON · Add to my inventory
| health | 17 / 25 |
| authEase | 15 / 15 |
| toolQuality | 15 / 15 |
| maintenance | 3 / 15 |
| adoption | 0 / 10 |
| usage | 0 / 10 |
| security | 8 / 10 |
Scoring v0.3, computed 2026-10-15T02:36:22.716Z.
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-14T23:45:36.641Z | Healthy | 2702 |
rank | The full shortlist for a job worked out with discover: 5 proven models and 1 promising newcomer, each with its standing on every requirement, plus near misses and what would change the order. Pass the discover session. |
pick | The single best proven model for a job worked out with discover, with why and the runners-up. Pass the discover session. |
discover | Discovery: finds the true requirements of the person's job before any model is chosen. Start with purpose: the reply carries the discovery instructions and the evidence catalogue. YOU ask the person the questions (one thing each, plain words, offering the returned choices); then call again with the |
benchmark | The live test: the 5 proven models and 1 promising newcomer from discovery do the person's real tasks side by side, every requirement is judged, and the results pick the winner. First call (session + tasks) returns the estimate and an offer — nothing is spent. Show the person the cost; only when the |
compare | Same live test as benchmark, but on the models the person names (model_ids). Needs a finished discover session so every requirement is judged. Estimate first, then go=true. |