RTFM

v0.8.0Knowledge & Memorystable

The open retrieval layer for AI agents. Index your entire project — code, docs, legal, research, data — and serve surgical context via MCP. FTS5 full-text search, optional semantic search (FastEmbed/ONNX), 10 built-in parsers, incremental auto-sync.

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What is RTFM?

RTFM is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to open retrieval layer for ai agents. index your entire project — code, docs, legal, research, data — and serve surgical context via mcp. fts5 full-text search, optional semantic search (fastembed/onnx)...

The open retrieval layer for AI agents. Index your entire project — code, docs, legal, research, data — and serve surgical context via MCP. FTS5 full-text search, optional semantic search (FastEmbed/ONNX), 10 built-in parsers, incremental auto-sync.

This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • The open retrieval layer for AI agents. Index your entire pr

Use Cases

Full-text search over documentation
Semantic knowledge retrieval
roomi-fields

Maintainer

LicenseMIT License
Languagepython
Versionv0.8.0
UpdatedMay 16, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

NPM

npx -y rtfm

PIP

pip install rtfm-ai

Manual Installation

npx -y rtfm

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about RTFM

What is RTFM?

RTFM is a Model Context Protocol (MCP) server that open retrieval layer for ai agents. index your entire project — code, docs, legal, research, data — and serve surgical context via mcp. fts5 full-text search, optional semantic search (fastembed/onnx), 10 built-in parsers, incremental auto-sync. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install RTFM?

Install via npm with the command: npx -y rtfm. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

Which AI clients work with RTFM?

RTFM works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is RTFM free to use?

Yes, RTFM is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

Browse More Knowledge & Memory MCP Servers

Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "rtfm": { "command": "npx", "args": ["-y", "rtfm"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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