Repocks

Transform your Markdown documentation into an intelligent knowledge base. Repocks indexes your documents and provides AI-powered search and Q&A capabilities through an MCP server.

What is Repocks?

Repocks turns your collection of Markdown files into a searchable knowledge base that AI assistants can query. Whether you have technical documentation, meeting notes, or personal knowledge management files, Repocks makes them accessible through natural language queries.

Key Benefits

• Smart Search: Find relevant information using natural language, not just keywords

• AI-Powered Q&A: Get comprehensive answers based on your documentation

• Easy to Update: Run index command to sync changes in your documents

• Works with Any MCP Client: Compatible with Claude Desktop, Cline, and other MCP-supporting AI tools

• Local & Private: Your data stays on your machine

Related MCP server: team-docs-mcp

Quick Start

Prerequisites

• Node.js 20.9.0 or higher

• Ollama running locally

• npm, yarn, pnpm, etc.

Installation

# Install Repocks
npm install -g repocks

# Download required AI models
ollama pull qwen3:4b
ollama pull mxbai-embed-large

Basic Usage

1. Index your documents:

   repocks index

   This scans your Markdown files and creates a searchable index.

2. Start the MCP server:

   repocks start

   Now your knowledge base is ready to answer questions!

   We recommend registering with Coding Agent　(such as Claude Code, Cline, etc.) as shown in the example below.

   # Register mcp server in Claude Code
   claude mcp add repocks -- repocks start

Configuration

Specifying Document Locations

By default, Repocks indexes:

• ~/.repocks/**/*.md (your personal notes)

• ./docs/**/*.md (project documentation)

To customize, create repocks.config.json:

{
  "targets": [
    "./my-notes/**/*.md",
    "./team-docs/**/*.md",
    "~/Documents/obsidian/**/*.md"
  ]
}

Using Different AI Models

Set environment variables to use different Ollama models:

# Use a different LLM
export OLLAMA_LLM="llama2:13b"

# Use a different embedding model
export OLLAMA_EMBEDDING_MODEL="nomic-embed-text"

# Use a remote Ollama instance
export OLLAMA_BASE_URL="http://192.168.1.100:11434/api"

Integration with Claude Desktop

Add Repocks to your Claude Desktop configuration:

1. Open Claude Desktop settings

2. Go to Developer > Model Context Protocol

3. Add the following configuration:

{
  "mcpServers": {
    "repocks": {
      "command": "repocks",
      "args": ["start"]
    }
  }
}

Now you can ask Claude questions about your documentation!

Example Use Cases

Personal Knowledge Management

• "What did I write about project architecture last month?"

• "Find my notes on Docker best practices"

• "Summarize my meeting notes from Q3"

Technical Documentation

• "How do I configure the authentication module?"

• "What are the API endpoints for user management?"

• "Show me examples of error handling in our codebase"

Research & Learning

• "What have I learned about machine learning?"

• "Find all references to distributed systems"

• "Create a summary of my React hooks notes"

Commands Reference

repocks index

Scans and indexes all Markdown files in configured paths. Run this:

• After adding new documents

• When you've made significant changes

• To ensure your index is up-to-date

repocks start

Starts the MCP server. Keep this running while using AI assistants.

Troubleshooting

"No documents found"

• Check your repocks.config.json paths

• Ensure .md files exist in those locations

• Run repocks index to rebuild the index

"Cannot connect to Ollama"

• Start Ollama: ollama serve

• Check if models are installed: ollama list

• Verify the API URL matches your setup

"Search returns irrelevant results"

• Try more specific queries

• Re-index your documents

• Consider using a more powerful embedding model

License

MIT