AIBase
EN
Explore
Claude Faf MCP
C

Claude Faf MCP

The FAF MCP server provides a standardized project context format for AIs like Claude, achieving persistent project context management through the IANA - registered FAF format and 50 tools, improving AI collaboration efficiency.
Developer toolsKnowledge management and memory#AI context#Project management#MCP tools#Format standard.TypeScript
2.5 points
7.2K
Open Site

Overview

Content Details

Alternatives

What is claude-faf-mcp?

claude-faf-mcp is a Model Context Protocol (MCP) server specifically designed to handle files in the .FAF (Foundational AI-context Format). It allows AI assistants (such as Claude Desktop) to read and understand your project structure, architecture, and requirements, just as human developers read a README. FAF is a standard format registered with IANA (application/vnd.faf+yaml), equivalent to the 'README in the AI era'. Through the project.faf file, AI can persistently understand your project's DNA without the need for repeated explanations each time.

How to use claude-faf-mcp?

Using claude-faf-mcp is very simple: 1. Install the MCP server 2. Configure Claude Desktop 3. Create a project.faf file in the project root directory 4. The AI will automatically read and understand your project Once configured, you can directly use 50 built-in tools to manage, score, and optimize your project context when conversing with the AI.

Applicable scenarios

claude-faf-mcp is particularly suitable for the following scenarios: • Long-term project development - The AI remembers the project context • Team collaboration - Unify the AI understanding standard • Projects with complex architectures - The AI understands the technology stack and dependencies • Code maintenance - The AI understands historical decisions and architectures • New members joining - Quickly let the AI understand the overall project

Main features

50 MCP tools
Provides a complete set of FAF file management tools, including 50 dedicated tools for creation, reading, scoring, optimization, etc., covering all FAF operation requirements.
AI readiness scoring system
Intelligently assesses the AI readiness of the project (0 - 100%), provides detailed itemized analysis and improvement suggestions to help optimize the project context.
IANA registered standard format
Uses the officially registered MIME type (application/vnd.faf+yaml) to ensure format standardization and cross - platform compatibility.
High - performance optimization
16.2 times speed improvement, with an average execution time of 19ms and a zero - dependency design, providing ultimate response speed and stability.
Intelligent grading system
Automatically grades according to the AI readiness score (🏆 Trophy level, 🥇 Gold level, 🥈 Silver level, etc.), intuitively displaying the project quality level.
Independent operation
Zero external dependencies, with 14 built - in commands, no need to install additional CLI tools, ready to use out of the box.
Advantages
🚀 Excellent performance: 16.2 times speed improvement, rapid response
📊 Intelligent scoring: Detailed AI readiness analysis and suggestions
🔧 Rich tools: 50 dedicated tools cover all requirements
🌐 Standard compatibility: IANA registered format, cross - platform general
⚡ Easy installation: One - click configuration, no complex settings required
🔄 Persistent context: The AI remembers the project, no need for repeated explanations
Limitations
📁 Requires the project root directory: Must be used within the project
📝 Requires learning a new format: Need to understand the FAF file structure
🔌 Depends on the MCP protocol: Requires tools like Claude Desktop that support MCP
🔄 Maintenance cost: Requires regular updates to the project.faf file

How to use

Install the MCP server
Globally install the claude-faf-mcp package via npm
Configure Claude Desktop
Add MCP server settings to the Claude Desktop configuration file
Restart Claude Desktop
Restart the Claude Desktop application to make the configuration take effect
Create a project.faf file
Create a FAF - format file in the project root directory, or use an AI assistant to generate it automatically

Usage cases

New project initialization
When you start a new project, let the AI assistant help you create a complete project context file
Project evaluation and optimization
Regularly check the AI readiness of the project and get improvement suggestions
Team collaboration context synchronization
When a new member joins the project, quickly let the AI understand the overall project
Code refactoring support
During large - scale code refactoring, ensure that the AI understands the architectural constraints

Frequently Asked Questions

What is a FAF file? What's the difference from a README?
Do I need to manually write the project.faf file?
What does the AI readiness score mean?
Is this tool only suitable for Claude?
Should the FAF file be submitted to version control?
What will happen if my project doesn't have a FAF file?

Related resources

Official documentation
Complete installation guide, tool reference, and best practices
GitHub repository
Source code, issue feedback, and contribution guidelines
FAF format specification
Official specification of the IANA - registered FAF format
Chrome extension
FAF tool extension on the browser side
Discord community
Communicate with other users and get help
Official website
Homepage and introduction of the FAF ecosystem

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
6.1K
5 points
A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
10.4K
5 points
B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
7.4K
4 points
M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
9.7K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
13.3K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
8.8K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
10.1K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
12.1K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
17.7K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
17.7K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
55.0K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
28.8K
5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
24.7K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
51.8K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
17.5K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
76.9K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2025AIBase