fm-mcp

io.github.yranganav0.1.0Updated Oct 10, 2026

Delegate summarising, extraction, classification and OCR to the macOS 27 on-device model.

Overview

AI-generated overview

Lets a coding agent hand simple text work — summarising, field extraction, classification and image OCR — to the on-device Apple Foundation Models model on…

What it does
A local stdio MCP server exposing four tools: summarise (condenses logs, documents, notes or transcripts into a paragraph or up to 7 bullets), extract (pulls named fields into JSON from a JSON Schema you supply), classify (sorts text into labels you choose, optionally multiple), and ocr (reads text from PNG, JPEG, HEIC, TIFF, GIF or BMP images, not PDFs). The first three accept either raw text or a path to a text file up to 1 MB, so the agent need not read the file itself. It starts the fm serve model server on first tool call and stops it when the session ends.
When to use it
Useful when a coding agent would otherwise spend paid remote tokens on routine text jobs such as summarising a log or pulling fields out of a document, and the text should stay on the machine. It is not intended for code, maths, reasoning, facts absent from the text, or anything where a wrong answer is costly and cannot be checked.
Requirements
A Mac with Apple Silicon (Intel not supported), macOS 27 with Apple Intelligence enabled, and the fm licence accepted once via fm license. Installed from Homebrew, cargo, or an installer script; fm-mcp install configures Claude Code and Codex, or a Claude Code plugin is available. Optional environment variables FM_MCP_REQUEST_TIMEOUT_SECS (default 120) and FM_MCP_LOG=debug.
Before you install
The on-device model is small and makes mistakes: summaries can drop or distort details, and extract can return wrong values for fields only loosely implied by the text, so check what matters. It handles about 8K tokens shared between input and answer, one request at a time, and a safety filter sometimes refuses harmless input. fm-mcp install writes to ~/.claude.json, ~/.claude/skills/, ~/.codex/config.toml and ~/.codex/AGENTS.md, backing up each file first; --dry-run previews changes and…

Installation

In SourceWeft

  1. Open fm-mcp in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

fm-mcp

An MCP server that lets coding agents such as Claude Code and Codex hand simple text work to the on-device model for Apple Foundation Models, the fm that ships with macOS 27. It's free, private, and runs offline.

mcp-name: io.github.yrangana/fm-mcp

Why

Coding agents spend paid, remote tokens on simple jobs, like summarising a log or pulling fields out of a document. A small model already on your Mac can do much of that for nothing, and your text never leaves the machine. fm-mcp lets the agent hand off that work, and tells it plainly what the small model can't do.

Install

You need a Mac with Apple Silicon (Intel Macs are not supported), macOS 27 with Apple Intelligence turned on, and the fm licence accepted once (fm license).

sh
brew install yrangana/tap/fm-mcpfm-mcp install    # sets up Claude Code and Codexfm-mcp doctor     # checks everything fm-mcp needs

Then start a new Claude Code or Codex session. fm-mcp starts the model server (fm serve) itself the first time a tool is called, and stops it when the session ends.

Other ways to get the binary:

sh
curl --proto '=https' --tlsv1.2 -LsSf https://github.com/yrangana/fm-mcp/releases/latest/download/fm-mcp-installer.sh | shcargo install fm-mcp

What fm-mcp install changes

  • Claude Code: adds the fm-mcp MCP server to ~/.claude.json (through claude mcp add when the claude command is there), and installs the fm-delegate skill in ~/.claude/skills/.
  • Codex: adds [mcp_servers.fm-mcp] to ~/.codex/config.toml, and a marked section in ~/.codex/AGENTS.md (or in AGENTS.override.md, if you use one).

It backs up each file before changing it and prints every path it touched; running it again changes nothing. --claude or --codex picks one agent, --dry-run shows the changes without writing, and --no-guidance skips the skill and the AGENTS.md section. fm-mcp install --uninstall removes everything it added.

The skill and the AGENTS.md section tell the agent when to delegate. Without them the agent sees only the tool descriptions, and delegates less well.

Or: the Claude Code plugin

The plugin gives Claude Code the MCP server and the skill, without fm-mcp install. It still needs the binary on your PATH, so install that first (Homebrew above); otherwise Claude Code reports the server as failed to connect.

/plugin marketplace add yrangana/fm-mcp/plugin install fm-mcp@fm-mcp

Use the plugin or fm-mcp install for Claude Code, not both: both together give Claude Code two fm-mcp servers. With the plugin, run fm-mcp install --codex to set up Codex only.

Other MCP clients

fm-mcp is a plain stdio MCP server, so other clients that run local servers on the same Mac can use it. fm-mcp install doesn't set them up, and they don't get the delegation guidance: the agent decides from the tool descriptions alone. Each client below was tried on a real Mac; others may work but are untested.

Claude Desktop (tried with 2.31226.1, 2026-10-11). In Settings › Developer › Edit Config, add this to mcpServers in claude_desktop_config.json, then quit and reopen Claude Desktop:

json
"fm-mcp": {  "command": "/opt/homebrew/bin/fm-mcp",  "args": []}

Use the full path (which fm-mcp prints it). fm-mcp helps most with files on your Mac: give Claude the file's path and it passes path, so the text never goes through Claude. For a web page, Claude Desktop reads the page itself first, so delegating it saves nothing.

Devin (formerly Windsurf) (tried with Devin.app 3.8.20, 2026-10-11). Add this to mcpServers in ~/.config/devin/mcp_config.json:

json
"fm-mcp": {  "type": "stdio",  "command": "/opt/homebrew/bin/fm-mcp",  "args": []}

Tools

ToolWhat it doesHow much it takes
summariseCondenses logs, documents, notes and transcripts into a gist: a paragraph, or at most 7 bullets. Not a full record.About 30,000 words of prose, but only about 1,000 lines of a dense log. Long input is split and combined, which takes a minute or two and can drop details.
extractPulls named fields out of one text as JSON, from a JSON Schema you give. Works best with a flat schema.About 3,500 words of prose.
classifySorts one text into labels you choose (one label, or several with multi).About 3,500 words of prose.
ocrReads the text in a PNG, JPEG, HEIC, TIFF, GIF or BMP image. Not PDF.One image.

summarise, extract and classify take text, or a path to a text file (up to 1 MB) so the agent never has to read the file itself.

Limits

  • Small model, small context: about 8K tokens, shared by the input and the answer. Logs full of IDs and numbers use far more tokens per word than prose.
  • Not for code, maths, reasoning, facts the text doesn't contain, or anything where a wrong answer is costly and you can't check it.
  • It makes mistakes. Summaries can drop or distort details. extract usually returns null for a field the text doesn't contain, but when the text has something close in meaning (no PO number, but line items), about 1 in 3 such fields gets a wrong value. Nested schemas are less reliable than flat ones. Check what matters.
  • One request at a time. The model is shared by every session on the Mac, so calls queue: a short extract takes 1–2 s, a long summarise a minute or more.
  • Safety filter: the on-device model sometimes refuses harmless input. fm-mcp reports that clearly, and the agent does the task itself.

Privacy

Everything runs on your Mac. fm-mcp talks to fm serve over a local Unix socket and sends nothing over the network. Your text goes only to the on-device model.

Troubleshooting

Run fm-mcp doctor. It checks the Mac, macOS, fm, the licence, the model, a test request, and both agents' setup, and says how to fix anything that fails.

ProblemFix
Licence not agreedRun fm license once.
Model not availableTurn on Apple Intelligence in System Settings and wait for the model to finish downloading.
A tool says the model "got stuck"Usually a schema with fields the text doesn't contain, or another session using the model. Try a flatter schema.
A tool times out on long inputRaise the limit: set FM_MCP_REQUEST_TIMEOUT_SECS (default 120) in the MCP server's environment.
You need more detailSet FM_MCP_LOG=debug in the MCP server's environment. fm-mcp logs to stderr only (stdout carries the MCP protocol).

Uninstall

sh
fm-mcp install --uninstallbrew uninstall fm-mcp

Development

sh
git clone https://github.com/yrangana/fm-mcp.gitcd fm-mcpcargo build --release./target/release/fm-mcp install    # points your agents at this build
cargo test --features fake-fm      # needs no Apple Intelligence: uses a fake fmcargo clippy --all-targets --all-features -- -D warningscargo fmt --checkscripts/real_fm_smoke.sh           # checks against the real fm on this Mac

AGENTS.md has the architecture, the tested facts about fm serve, and the project rules. docs/MANUAL_TEST.md is the checklist for each release.

Licence

MIT. fm-mcp is not affiliated with or endorsed by Apple. It calls the fm tool installed on your Mac and includes nothing from Apple.

Source: README.md at commit 831d5dd

Tools

0
Tool metadata has not been indexed yet.

Version history

1
  1. v0.1.0LatestOct 10, 2026