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Claude FAF
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6 months ago
First Indexed
2 months ago
Catalog Refreshed
Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"wolfe-jam-claude-faf-mcp": {
"command": "npx",
"args": [
"-y",
"claude-faf-mcp"
]
}
}
}You set up and run an MCP server that provides a persistent AI context for your project using the .FAF format. This server lets Claude Desktop (and other MCP clients) access a structured, universal context so your AI can understand your project’s DNA, tools, and workflows without repeated setup. By running the FAF MCP server, you enable fast, consistent context delivery and a scalable base for AI-assisted development.
How to use
You connect to the FAF MCP server from your MCP client by configuring a local or remote server entry. Use the provided stdio configuration to run the server locally, then point your client at the local MCP entry or at a remote endpoint if you host it elsewhere. Once connected, your client can leverage the FAF context and the built-in tools to analyze, enhance, and score your project context.
How to install
Prerequisites you need before installation are Node.js and npm. Ensure Node.js is installed on your system.
Install the FAF MCP server globally with npm.
Then configure your Claude Desktop client to load the FAF MCP server using the provided MCP configuration snippet and restart Claude Desktop.
Additional notes
MCP connection method shown here is a local stdio setup. The exact command to run the FAF MCP server is the npx invocation described in the usage snippet. If you prefer to manage the server as a separate process, you can rely on the same command to start it in a shell or script.
You can also keep a ready-made configuration handy for instant setup across machines by using the exact JSON below in your claude_desktop_config.json under the mcpServers section.
Example quick start
{
"mcpServers": {
"faf": {
"command": "npx",
"args": ["-y", "claude-faf-mcp"]
}
}
}
Available tools
faf_quick
Lightning-fast project.faf creation (3ms avg)
faf_enhance
Intelligent enhancement with auto-detection
faf_read
Parse and validate FAF files
faf_write
Create/update FAF with validation
faf_score
AI-readiness scoring engine
faf_compress
Intelligent size optimization