Connect-MCP

XF Model Source

dev.xpansion/xfms · v0.5.3

Find the right AI model for your job. Free discovery and ranking; tests on your own key.

MCPremoteAPI keyTasks & projects

Reported outcomes

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Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 7 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 100/100

What it does: 7 tools · 6 read, 1 write · Tasks & projects

Test call discover: worked (6,390 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: +5
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://xfms.xpansion.dev/mcp

Tools

7 tools listed at last check
  • 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
  • field_results Results from real comparisons on Model Source for one kind of job (call with no job_type for the list): which models passed, how often, which won, typical cost per task and the most common failure. Counted without anyone's job details. A starting point; test on the person's own work before choosing.
  • watch_job Saves a finished job for XF Model Watch, which re-tests it as new models arrive and emails the person only when a model passes every must-have and ranks higher on their priorities. Needs a signed-in subscriber. Ask the person first: Model Watch keeps the job and its example tasks (encrypted, deletab
  • 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.

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