markdown-vault-mcp 1.1.1

Generic markdown vault MCP server with FTS5 + semantic search

markdown-vault-mcp

A generic markdown collection MCP server with FTS5 full-text search, semantic vector search, frontmatter-aware indexing, and incremental reindexing.

Point it at a directory of Markdown files (an Obsidian vault, a docs folder, a Zettelkasten) and it exposes search, read, write, and edit tools over the Model Context Protocol.

Features

• Full-text search — SQLite FTS5 with BM25 scoring, porter stemming
• Semantic search — cosine similarity over embedding vectors (Ollama, OpenAI, or Sentence Transformers)
• Hybrid search — Reciprocal Rank Fusion combining FTS5 and vector results
• Frontmatter-aware — indexes YAML frontmatter fields, supports required field enforcement
• Incremental reindexing — hash-based change detection, only re-processes modified files
• Write operations — create, edit, delete, rename documents with automatic index updates
• Git integration — optional auto-commit and push on every write via GIT_ASKPASS
• MCP tools — 13 tools including search, read, write, edit, delete, rename, and admin operations

Installation

From PyPI

pip install markdown-vault-mcp

With optional dependencies:

pip install markdown-vault-mcp[mcp]           # FastMCP server
pip install markdown-vault-mcp[embeddings-api] # Ollama/OpenAI embeddings via HTTP
pip install markdown-vault-mcp[all]            # MCP + API embeddings (lightweight)
pip install markdown-vault-mcp[all-local]      # + sentence-transformers (large, GPU)

From source

git clone https://github.com/pvliesdonk/markdown-vault-mcp.git
cd markdown-vault-mcp
pip install -e ".[all,dev]"

Docker

The Docker image uses the [all] extra (MCP + API embeddings) and does not include sentence-transformers or PyTorch, keeping it lightweight. Use Ollama or OpenAI for embeddings.

docker pull ghcr.io/pvliesdonk/markdown-vault-mcp:latest

Quick Start

As a library

from pathlib import Path
from markdown_vault_mcp import Collection

collection = Collection(source_dir=Path("/path/to/vault"))
results = collection.search("query text", limit=10)

As an MCP server

Set the required environment variable and start the server:

export MARKDOWN_VAULT_MCP_SOURCE_DIR=/path/to/vault
markdown-vault-mcp serve

With Docker Compose

1. Copy an example env file:

   cp examples/obsidian-readonly.env .env
   

2. Edit .env to set MARKDOWN_VAULT_MCP_SOURCE_DIR to the absolute path of your vault on the host.

3. Start the service:

   docker compose up -d
   

4. Check the logs:

   docker compose logs -f markdown-vault-mcp
   

Example env files

File	Description
examples/obsidian-readonly.env	Obsidian vault, read-only, Ollama embeddings
examples/obsidian-readwrite.env	Obsidian vault, read-write with git auto-commit
examples/ifcraftcorpus.env	Strict frontmatter enforcement, read-only corpus

For reverse proxy (Traefik) and authentication (mcp-auth-proxy) setup, see docs/deployment.md.

Configuration

All configuration is via environment variables with the MARKDOWN_VAULT_MCP_ prefix.

Variable	Default	Required	Description
MARKDOWN_VAULT_MCP_SERVER_NAME	markdown-vault-mcp	No	MCP server name shown to clients (useful for multi-instance setups)
MARKDOWN_VAULT_MCP_INSTRUCTIONS	generic description	No	System-level instructions injected into LLM context
MARKDOWN_VAULT_MCP_SOURCE_DIR	—	Yes	Path to the markdown vault directory
MARKDOWN_VAULT_MCP_READ_ONLY	true	No	Set to false to enable write operations
MARKDOWN_VAULT_MCP_INDEX_PATH	in-memory	No	Path to the SQLite FTS5 index file (set for persistence across restarts)
MARKDOWN_VAULT_MCP_EMBEDDINGS_PATH	disabled	No	Path to the numpy embeddings file (required to enable semantic search)
MARKDOWN_VAULT_MCP_STATE_PATH	{SOURCE_DIR}/.markdown_vault_mcp/state.json	No	Path to the change-tracking state file
MARKDOWN_VAULT_MCP_INDEXED_FIELDS	—	No	Comma-separated frontmatter fields to index in FTS5
MARKDOWN_VAULT_MCP_REQUIRED_FIELDS	—	No	Comma-separated frontmatter fields required on every document
MARKDOWN_VAULT_MCP_EXCLUDE	—	No	Comma-separated glob patterns to exclude (e.g. .obsidian/**,.trash/**)
MARKDOWN_VAULT_MCP_GIT_TOKEN	—	No	GitHub PAT for auto-commit and push on writes (via GIT_ASKPASS)
MARKDOWN_VAULT_MCP_GIT_PUSH_DELAY_S	30	No	Seconds of idle before pushing (0 = push only on shutdown)
MARKDOWN_VAULT_MCP_OLLAMA_MODEL	nomic-embed-text	No	Ollama embedding model name
MARKDOWN_VAULT_MCP_OLLAMA_CPU_ONLY	false	No	Force Ollama to use CPU only
EMBEDDING_PROVIDER	auto-detect	No	Embedding provider: ollama, openai, or sentence-transformers (not prefixed)
OLLAMA_HOST	http://localhost:11434	No	Ollama server URL (not prefixed)
OPENAI_API_KEY	—	No	OpenAI API key for OpenAI embedding provider (not prefixed)

MCP Tools

Tool	Description
search	Hybrid full-text + semantic search with optional frontmatter filters
read	Read a document's content by relative path
write	Create or overwrite a document (with optional frontmatter)
edit	Replace a unique text span in a document
delete	Delete a document and its index entries
rename	Rename/move a document, updating all index entries
list_documents	List all indexed document paths (with optional folder and glob pattern filter)
list_folders	List all folder paths in the vault
list_tags	List all unique frontmatter tag values
reindex	Force a full reindex of the vault
stats	Get collection statistics (document count, chunk count, etc.)
build_embeddings	Build or rebuild vector embeddings for semantic search
embeddings_status	Check embedding provider and index status

Write tools (write, edit, delete, rename) are only available when MARKDOWN_VAULT_MCP_READ_ONLY=false.

Development

git clone https://github.com/pvliesdonk/markdown-vault-mcp.git
cd markdown-vault-mcp
uv pip install -e ".[all,dev]"

# Run tests
uv run python -m pytest tests/ -x -q

# Lint and format
ruff check src/ tests/
ruff format src/ tests/

# Type check
mypy src/

License

MIT