Gemini Faf Mcp

Name: Gemini Faf Mcp
Author: wolfe-jam

by wolfe-jamcommunityv2.1.2

The gemini-faf-mcp server unifies AI project context by creating a structured YAML file that integrates various AI learning formats into a single source of truth.

From the registry: FAF MCP server for Gemini. 12 tools. Project DNA via IANA-registered .faf format. Python/FastMCP.

GitHub Repository Website

Install & configure

Prerequisites

required
Install via pip
Install the gemini-faf-mcp package from PyPI
```
$ pip install gemini-faf-mcp
```
https://pypi.org/project/gemini-faf-mcp/

Install in your client

Paste into the AI you're chatting with — it will figure out the rest

Please install the `gemini-faf-mcp` MCP server into my current AI client (that's you).

Required prerequisites (do these first if not already done):
- **Install via pip** — Install the gemini-faf-mcp package from PyPI Run: `pip install gemini-faf-mcp` (https://pypi.org/project/gemini-faf-mcp/)

Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["gemini-faf-mcp"]

Note: 12 tools for FAF (Foundational AI-context Format) — unifies CLAUDE.md/GEMINI.md/AGENTS.md into a single .faf file. Also installable as a Gemini CLI extension.

Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.

Note: 12 tools for FAF (Foundational AI-context Format) — unifies CLAUDE.md/GEMINI.md/AGENTS.md into a single .faf file. Also installable as a Gemini CLI extension.

Tools (12)

faf_init

Create a starter `.faf` file with project name, goal, and language

faf_auto

Auto-detect stack from manifest files and generate/update `.faf`

faf_discover

Find `.faf` files in the project tree

faf_validate

Full Mk4 validation — score, tier, slot counts, errors, warnings

faf_score

Quick Mk4 score — score, tier, populated/active/total slot counts

faf_read

Parse a `.faf` file into structured data

faf_stringify

Convert parsed FAF data back to clean YAML

faf_context

Get Gemini-optimized context (project + stack + score)

faf_gemini

Export `GEMINI.md` with YAML frontmatter for Gemini CLI

faf_agents

Export `AGENTS.md` for OpenAI Codex, Cursor, and other AI tools

faf_about

FAF format info — IANA registration, version, ecosystem

faf_model

Get a 100% Trophy-scored example `.faf` for any of 15 project types

Packages

gemini-faf-mcp

pypiv2.1.2transport: stdio

Details

Language: Python
License: MIT
Released: Mar 12, 2026
Last commit: Jul 10, 2026
Registry name: io.github.Wolfe-Jam/gemini-faf-mcp

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