XFMS - Xpansion Framework Model Source

Pick the right LLM for any task.

CommunityOnlineAPI key requiredGlobalFreeCan modify data

What it can do

  • 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

What data it sees

Do you need an account

An API key from the service settings is required

Pick the right LLM for any task. XFMS infers which quality in its catalog against those dimensions, and returns a ranked shortlist with plain-English rationale per pick.

The catalog updates continuously from 8 independent third-party evaluators — no provider self-reports, no single-source benchmarks. Missing data is recorded as missing, not interpolated.

Three tools:

  • rank — ranked shortlist with weights and rationale
  • pick — single best pick
  • discover — which quality dimensions matter, without ranking

No OpenRouter key needed. The hosted endpoint covers inference; you only need a free XFMS access token from xpansion .dev/xfms/get-started. Part of the Xpansion Framework — an enforcement layer for AI-assisted work.

How to connect

How to connect XFMS - Xpansion Framework Model Source to Claude

The server address to paste into Claude settings:

https://xfms.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect XFMS - Xpansion Framework Model Source to ChatGPT

The server address to paste into ChatGPT settings:

https://xfms.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect XFMS - Xpansion Framework Model Source to Cursor

The server address to paste into Cursor settings:

https://xfms.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (3)

Raw names from tools/list. Only developers need these.

rankRank 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.
pickReturn 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.
discoverShow 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.