Is io.github.Wolfe-Jam/gemini-faf-mcp safe to use?

io.github.Wolfe-Jam/gemini-faf-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.Wolfe-Jam/gemini-faf-mcp?

io.github.Wolfe-Jam/gemini-faf-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can io.github.Wolfe-Jam/gemini-faf-mcp do?

io.github.Wolfe-Jam/gemini-faf-mcp provides 12 tools: faf_init, faf_auto, faf_discover, faf_validate, faf_score and 7 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.Wolfe-Jam/gemini-faf-mcp?

io.github.Wolfe-Jam/gemini-faf-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

Is io.github.Wolfe-Jam/gemini-faf-mcp actively maintained?

io.github.Wolfe-Jam/gemini-faf-mcp is actively maintained — last commit was 3 days ago. It has 2 GitHub stars.

io.github.Wolfe-Jam/gemini-faf-mcp

faf-cli

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

2 1.2k/wk 12 tools GitHub npm PyPI

No known CVEs

No license

Actively maintained

Last commit 3d ago

Works with most clients

Transport: stdio

12 tools · ~540 tok

Grade B · 0.3% of 200K ctx

Edit this pageView history

Developer Tools

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

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

{
  "mcpServers": {
    "io-github-wolfe-jam-gemini-faf-mcp": {
      "args": [
        "-y",
        "faf-cli"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-wolfe-jam-gemini-faf-mcp)](https://mcppedia.org/s/io-github-wolfe-jam-gemini-faf-mcp)

Read me

What io.github.Wolfe-Jam/gemini-faf-mcp does

Persistent Project Context for Google Gemini. Define once. Sync everywhere.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y 'faf-cli' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

87/100across 5 weighted dimensions

How we score →

0255075100

−13

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked faf-cli against OSV.dev.

Inventory

Tools (12)

Click any tool to inspect its schema.

~540 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.Wolfe-Jam/gemini-faf-mcp safe to use?: io.github.Wolfe-Jam/gemini-faf-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.Wolfe-Jam/gemini-faf-mcp?: io.github.Wolfe-Jam/gemini-faf-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.Wolfe-Jam/gemini-faf-mcp do?: io.github.Wolfe-Jam/gemini-faf-mcp provides 12 tools: faf_init, faf_auto, faf_discover, faf_validate, faf_score and 7 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.Wolfe-Jam/gemini-faf-mcp?: io.github.Wolfe-Jam/gemini-faf-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.
Is io.github.Wolfe-Jam/gemini-faf-mcp actively maintained?: io.github.Wolfe-Jam/gemini-faf-mcp is actively maintained — last commit was 3 days ago. It has 2 GitHub stars.

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MCP Security Weekly

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Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

Developer Tools

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

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

{
  "mcpServers": {
    "io-github-wolfe-jam-gemini-faf-mcp": {
      "args": [
        "-y",
        "faf-cli"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-wolfe-jam-gemini-faf-mcp)](https://mcppedia.org/s/io-github-wolfe-jam-gemini-faf-mcp)

Read me

What io.github.Wolfe-Jam/gemini-faf-mcp does

Persistent Project Context for Google Gemini. Define once. Sync everywhere.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y 'faf-cli' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

gemini-faf-mcp — The Dart Edition

Persistent Project Context for Google Gemini. Define once. Sync everywhere.

FAF defines. MD instructs. AI codes.

Stop re-explaining your project to every new Gemini session. Every Gemini conversation starts cold — you re-state your stack, your goals, your conventions every single time. .faf is one structured file that captures all of it. This package is the MCP server that lets Gemini read it.

Before and after

Without FAF                           With FAF (.faf at 85%+ Bronze)
─────────────────────────             ─────────────────────────
You: "I'm using FastAPI with...       You: "Add a /users/me endpoint"
      PostgreSQL, pytest, and..."     Gemini: [generates correct code,
Gemini: "Got it. What's the              uses your auth pattern,
        codebase like?"                  matches your test style]
You: "It's a REST API for..."
[5 minutes of re-explaining]
Gemini: [now ready to help]

.faf is read once at session start. Every tool call lands on a Gemini that already knows your project.

What's New in v2.5.0 — The Dart Edition

gemini-faf-mcp now understands Dart and Flutter projects.

Detects Dart/Flutter from a pubspec.yaml — Flutter app vs package · Dart MCP / backend / CLI / library — by composing faf-python-sdk's detector, the shared engine, not a fork. Zero-Config, 12 exact tools.

v2.4.3 made faf_agents / faf_gemini non-destructive (inject a structured .faf block, preserve your Markdown below). v2.4.2 — The Confinement Edition confined every caller path argument (security). v2.4.0 — The Chameleon Edition auto-selects its transport: stdio locally, Streamable HTTP on Cloud Run. 12 tools, zero config.

One-Minute Setup

1. Install

uvx gemini-faf-mcp          # zero-install run via uvx (fetched from PyPI)
# or: pip3 install gemini-faf-mcp

2. Add to Gemini CLI

gemini extensions install https://github.com/Wolfe-Jam/gemini-faf-mcp

3. Generate your project context

In your Gemini CLI:

> /faf:setup

You should see: Created project.faf — Score: 85% (BRONZE). From this point, every Gemini session in this project reads it automatically.

Tip: A score of 85% (BRONZE) is the minimum where Gemini stops guessing. Run /faf:score to see what's missing and how to push to 100% (TROPHY).

The "One-File" Advantage

A .faf file is structured YAML that captures your project DNA. Every AI agent reads it once and knows exactly what you're building.

# project.faf — your project, machine-readable
faf_version: '2.5.0'
project:
  name: my-api
  goal: REST API for user management
  main_language: Python

... [View full README on GitHub](https://github.com/Wolfe-Jam/gemini-faf-mcp#readme)

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

87/100across 5 weighted dimensions

How we score →

0255075100

−13

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked faf-cli against OSV.dev.

Inventory

Tools (12)

Click any tool to inspect its schema.

~540 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.Wolfe-Jam/gemini-faf-mcp safe to use?: io.github.Wolfe-Jam/gemini-faf-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.Wolfe-Jam/gemini-faf-mcp?: io.github.Wolfe-Jam/gemini-faf-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.Wolfe-Jam/gemini-faf-mcp do?: io.github.Wolfe-Jam/gemini-faf-mcp provides 12 tools: faf_init, faf_auto, faf_discover, faf_validate, faf_score and 7 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.Wolfe-Jam/gemini-faf-mcp?: io.github.Wolfe-Jam/gemini-faf-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.
Is io.github.Wolfe-Jam/gemini-faf-mcp actively maintained?: io.github.Wolfe-Jam/gemini-faf-mcp is actively maintained — last commit was 3 days ago. It has 2 GitHub stars.