Which integrations are available for this server?

Enables local LLM support for wiki generation and code documentation using locally-run Ollama models. Provides OpenAI model integration for both embeddings (text-embedding-3-small) and LLM-based documentation generation.

How do I use Local DeepWiki MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Local DeepWiki MCP Server explain how the authentication module works in my project" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

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

Local DeepWiki MCP Server

Local DeepWiki MCP Server

Features

Installation

Using uv (recommended)

Using pip

Configuration

Claude Code Integration

MCP Tools

`index_repository`

`ask_question`

`read_wiki_structure`

`read_wiki_page`

`search_code`

Environment Variables

Prerequisites

Development

Architecture

License

Resources

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