papermoon-mkdocs-mcp 0.1.0b1

A lightweight MCP server for MkDocs documentation sites

papermoon-mkdocs-mcp

A lightweight MCP server for MkDocs documentation sites. Reads markdown files directly from disk, provides full-text and optional semantic search, and exposes project structure through the Model Context Protocol.

Features

• 5 MCP tools -- search, read_document, list_documents, get_project_info, get_document_outline
• SQLite FTS5 keyword search with BM25 ranking (zero external dependencies)
• Optional semantic vector search via sentence-transformers
• Hybrid search combining keyword + vector results with Reciprocal Rank Fusion
• Incremental indexing -- fast updates when files change
• Persistent SQLite index that survives server restarts
• Navigation-aware -- parses mkdocs.yml and .nav.yml
• Security-first -- path traversal prevention, read-only search connections
• Minimal dependencies -- 3 required, 2 optional

Installation

pip install papermoon-mkdocs-mcp

To enable vector search:

pip install papermoon-mkdocs-mcp[vector]

Quick Start

Run from the root of any MkDocs project (where mkdocs.yml lives):

cd /path/to/your/mkdocs-project
papermoon-mkdocs-mcp

Or point to a specific config file:

papermoon-mkdocs-mcp --config /path/to/mkdocs.yml

The server auto-detects mkdocs.yml in the current directory when --config is omitted.

MCP Client Configuration

Claude Desktop

Add to your Claude Desktop configuration file:

{
  "mcpServers": {
    "mkdocs": {
      "command": "papermoon-mkdocs-mcp",
      "args": ["--config", "/path/to/mkdocs.yml"]
    }
  }
}

Claude Code / VS Code

Add to .mcp.json in your project root:

{
  "mcpServers": {
    "mkdocs": {
      "command": "papermoon-mkdocs-mcp",
      "args": ["--config", "/path/to/mkdocs.yml"]
    }
  }
}

Available Tools

search

Search documentation using keyword, semantic, or hybrid search.

Parameter	Type	Default	Description
query	str	(required)	The search query string
search_type	str	"hybrid"	"keyword", "vector", or "hybrid"
max_results	int	10	Maximum results to return (1--100)

Returns ranked results with path, title, relevance score (normalized 0.0--1.0), and text snippet.

read_document

Read a documentation file by its relative path.

Parameter	Type	Default	Description
path	str	(required)	Relative path from docs dir (e.g. guide/setup.md)

Returns the markdown body (frontmatter stripped), parsed frontmatter as a separate field, heading structure, and file metadata.

list_documents

List all documentation files, optionally filtered by section.

Parameter	Type	Default	Description
section	str or null	null	Directory prefix to filter by (e.g. guide)

Returns document metadata (path, title, description, categories, size, mtime).

get_project_info

Get MkDocs project metadata. Takes no parameters.

Returns site name, site URL, docs directory, theme, navigation tree, document count, and index status.

get_document_outline

Get the heading structure (table of contents) for a document.

Parameter	Type	Default	Description
path	str	(required)	Relative path from docs dir (e.g. guide/setup.md)

Returns the document title and a list of headings with level, text, and anchor.

Architecture

src/mkdocs_mcp/
  config.py      -- MkDocs config detection and nav parsing
  repository.py  -- SQLite schema and CRUD operations
  indexer.py     -- Index orchestration with incremental updates
  searcher.py    -- Keyword, vector, and hybrid search
  server.py      -- FastMCP server with 5 tool definitions
  utils.py       -- Path validation, frontmatter parsing, text extraction
  models.py      -- Pydantic response models

At startup the server reads mkdocs.yml, scans the docs directory, and builds (or incrementally updates) a SQLite FTS5 index. Search queries hit the index directly; vector search embeds the query with all-MiniLM-L6-v2 and compares against stored document embeddings. Hybrid mode fuses both result lists using Reciprocal Rank Fusion.

Development

git clone https://github.com/aspect-build/mkdocs-mcp.git
cd mkdocs-mcp
pip install -e ".[dev]"
pytest

Linting and type checking:

ruff check .
mypy src/

Requirements

• Python >= 3.10
• Required: fastmcp (>=3.0, <4), pydantic (>=2.0, <3), pyyaml (>=6.0), markdown (>=3.4)
• Optional (vector search): sentence-transformers (>=3.0), numpy (>=1.24)

License

See LICENSE for details.