XFMS — Model Source MCP Server

by xpansion Your server? Claim it

not responding

XFMS — Model Source is listed as active in the registry but did not answer our last check. It exposes 5 tools. Last commit 24 May 2026.

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

Uptime history 51 days of history · worst day 11%

51 days agonow

15.4%

Uptime 24h

14 of 91 checks

Tools

read from the server

816 ms

Response time

average over 24h

Stars

last commit 24 May 2026

XFMS — Model Source does not always answer

Over the last week it answered 35.5% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add xfms --transport http https://xfms.vercel.app/mcp/

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "xfms": {
      "url": "https://xfms.vercel.app/mcp/"
    }
  }
}

~/.codex/config.toml

[mcp_servers.xfms]
url = "https://xfms.vercel.app/mcp/"

.cursor/mcp.json

{
  "mcpServers": {
    "xfms": {
      "url": "https://xfms.vercel.app/mcp/"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "xfms": {
      "url": "https://xfms.vercel.app/mcp/"
    }
  }
}

Available tools 5

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

benchmark

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 parallel, and returns real cost, latency, and plain-English commentary on who won what. Use AFTER `pick` or `rank` when the user wants the engine's own picks stress-tested with live data. DO NOT use this when the user has already named specific candidate models — the engine will ignore the names and test its own picks. Use `compare` instead in that case. Costs more than `rank` (15+ live LLM calls).

compare

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, and plain-English commentary on who won what. Unknown IDs are dropped with a note; if fewer than 2 IDs resolve, the call refuses. Use this whenever the user names specific models to compare (e.g. 'A/B test X and Y'). For engine-chosen candidates, use `benchmark` instead. Costs more than `rank` (10+ live LLM calls). Free-tier note: when any candidate ends in ':free', the probe is capped at 3 queries (no adaptive expansion) because free-tier rate limits often push longer probes past the deploy's 5-minute ceiling — evidence will be shallower. The commentary surfaces this when it happens.

discover

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.

pick

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.

rank

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.

Endpoints

URL	Transport	State	Latency	Checked
https://xfms.vercel.app/mcp/	streamable-http	answering	71 ms	7 min ago

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XFMS — Model Source — questions

Answers built from our own checks of this server.

What can XFMS — Model Source do?

It exposes 5 tools, read directly from the server on our last check. Among them: benchmark, compare, discover, pick, rank. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is XFMS — Model Source working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 14 of 91 checks got a reply (15.4%), average response time 816 ms. The bar chart above shows every period we have measured.

The registry lists XFMS — Model Source as active — why does it not respond?

The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.

How do I connect XFMS — Model Source?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does XFMS — Model Source need an API key?

No. XFMS — Model Source completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is XFMS — Model Source?

It answers our handshake in 816 ms on average, which is faster than 15% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is XFMS — Model Source open source?

Yes — it is published under the MIT licence, written in Python, 0 stars on GitHub and 5 open issues. The source link is on this page, so you can read exactly what it does with your data before you connect it.