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UrbanDiver

Local DeepWiki MCP Server

by UrbanDiver
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Python
Local

Local DeepWiki MCP Server

A local, privacy-focused MCP server that generates DeepWiki-style documentation for private repositories with RAG-based Q&A capabilities.

Features

  • Multi-language code parsing using tree-sitter (Python, TypeScript/JavaScript, Go, Rust, Java, C/C++)

  • AST-based chunking that respects code structure (functions, classes, methods)

  • Semantic search using LanceDB vector database

  • LLM-powered wiki generation with support for Ollama (local), Anthropic, and OpenAI

  • Configurable embeddings - local (sentence-transformers) or OpenAI

  • Incremental indexing - only re-process changed files

  • RAG-based Q&A - ask questions about your codebase

Installation

Using uv (recommended)

cd local-deepwiki-mcp uv sync

Using pip

cd local-deepwiki-mcp pip install -e .

Configuration

Create a config file at ~/.config/local-deepwiki/config.yaml:

embedding: provider: "local" # or "openai" local: model: "all-MiniLM-L6-v2" openai: model: "text-embedding-3-small" llm: provider: "ollama" # or "anthropic" or "openai" ollama: model: "llama3.2" base_url: "http://localhost:11434" anthropic: model: "claude-sonnet-4-20250514" openai: model: "gpt-4o" parsing: languages: - python - typescript - javascript - go - rust - java - c - cpp max_file_size: 1048576 exclude_patterns: - "node_modules/**" - "venv/**" - ".git/**" chunking: max_chunk_tokens: 512 overlap_tokens: 50 output: wiki_dir: ".deepwiki" vector_db_name: "vectors.lance"

Claude Code Integration

Add to your Claude Code MCP config (~/.claude/claude_code_config.json):

{ "mcpServers": { "local-deepwiki": { "command": "uv", "args": ["run", "--directory", "/path/to/local-deepwiki-mcp", "local-deepwiki"], "env": { "ANTHROPIC_API_KEY": "${ANTHROPIC_API_KEY}", "OPENAI_API_KEY": "${OPENAI_API_KEY}" } } } }

MCP Tools

index_repository

Index a repository and generate wiki documentation.

{ "repo_path": "/path/to/repo", "full_rebuild": false, "llm_provider": "ollama", "embedding_provider": "local" }

ask_question

Ask a question about the codebase using RAG.

{ "repo_path": "/path/to/repo", "question": "How does the authentication system work?", "max_context": 5 }

read_wiki_structure

Get the wiki table of contents.

{ "wiki_path": "/path/to/repo/.deepwiki" }

read_wiki_page

Read a specific wiki page.

{ "wiki_path": "/path/to/repo/.deepwiki", "page": "modules/auth.md" }

search_code

Semantic search across the codebase.

{ "repo_path": "/path/to/repo", "query": "user authentication", "limit": 10, "language": "python" }

Environment Variables

  • ANTHROPIC_API_KEY - Required for Anthropic LLM provider

  • OPENAI_API_KEY - Required for OpenAI LLM/embedding providers

Prerequisites

For local LLM support:

  • Ollama installed and running

  • A model pulled (e.g., ollama pull llama3.2)

Development

# Install dev dependencies uv sync --extra dev # Run tests pytest # Run the server directly uv run local-deepwiki

Architecture

┌─────────────────────────────────────────────────────────────────┐ │ MCP Server (FastMCP) │ ├─────────────────────────────────────────────────────────────────┤ │ Tools: │ │ - index_repository - Generate wiki + embeddings │ │ - ask_question - RAG Q&A about codebase │ │ - read_wiki_structure - Get wiki table of contents │ │ - read_wiki_page - Read specific wiki page │ │ - search_code - Semantic code search │ └─────────────────────────────────────────────────────────────────┘ │ │ │ ▼ ▼ ▼ ┌──────────────────┐ ┌──────────────────┐ ┌──────────────────┐ │ Tree-sitter │ │ LanceDB │ │ LLM Provider │ │ (Code Parsing) │ │ (Vector Store) │ │ (Doc Generation) │ └──────────────────┘ └──────────────────┘ └──────────────────┘

License

MIT

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