vault-map
MCP server that provides a navigable map of an Obsidian vault for coding agents, with tools to outline notes, fetch sections, query frontmatter, and grep content, reducing token usage compared to reading whole notes.
README
vault-map
A navigable map of your Obsidian vault for coding agents (MCP server). Skeletons of your notes — headings with line ranges, queryable frontmatter, outgoing links — so the agent stops loading whole notes just to find its way around.
It is the markdown counterpart of repo-map (which does the same for source code).
Why
An agent that reads a 2 500-line note to answer one question burns ~49 000 tokens. With
outline() + get_section() it reads the table of contents and the one chapter it needs:
~5 200 tokens — an 89 % cut, measured on a real vault (python _smoke.py <vault>
reproduces the measurement on yours).
The point isn't only cost: an agent that can afford to look around actually looks around, instead of answering from memory.
Tools
| Tool | What it gives you |
|---|---|
vault_map() |
whole-vault map: folder, key frontmatter, H2 titles, outgoing links |
outline(note) |
one note's heading tree with line numbers — call this before reading |
get_section(note, title) |
the body of a single section, nothing else |
query(filter) |
filter notes by frontmatter without opening them (status:draft, score>5) |
grep_notes(pattern) |
regex search through note text, each hit located as note › section (Ln) |
index(path) |
(re)target the server at another vault / folder of .md files |
query also understands two pseudo-fields for finding a note by name: title:<word> and
path:<folder>.
Freshness is automatic: the map is rebuilt whenever a note changes (signature = aggregated mtime + size), so an outline never lies. A stale outline is worse than an honest read.
Requirements
Python 3.10+. One dependency (mcp) — the engine itself is pure stdlib.
Install
git clone https://github.com/noambinabout-boop/vault-map.git
cd vault-map
python -m venv .venv
.venv/Scripts/pip install -r requirements.txt # Windows
# .venv/bin/pip install -r requirements.txt # macOS / Linux
Then register it with your agent. For Claude Code, from anywhere:
# Windows
claude mcp add vault-map --scope user -- C:\path\to\vault-map\.venv\Scripts\python.exe C:\path\to\vault-map\server.py
# macOS / Linux
claude mcp add vault-map --scope user -- /path/to/vault-map/.venv/bin/python /path/to/vault-map/server.py
Check with /mcp inside Claude Code. Any MCP-capable client works the same way — it is a
plain stdio server: <python> server.py.
Point it at your vault
By default the server targets the current working directory. Two ways to change that:
- Per call:
index("/path/to/vault")— retargets on the fly. - Always the same vault, whatever project you launched the agent in: set
VAULT_MAP_TARGET. In~/.claude.json, on the server entry:
"vault-map": {
"type": "stdio",
"command": "C:\\path\\to\\vault-map\\.venv\\Scripts\\python.exe",
"args": ["C:\\path\\to\\vault-map\\server.py"],
"env": {
"VAULT_MAP_TARGET": "C:\\path\\to\\your\\vault",
"PYTHONIOENCODING": "utf-8"
}
}
On Windows, PYTHONIOENCODING: utf-8 avoids a crash when a note contains an emoji.
Make the agent actually use it
Tools nobody calls save nothing. Put the reflex in your CLAUDE.md (or equivalent):
To find your way around the vault, use vault-map, not Read:
1. vault_map() for the big picture, query(filter) to filter by frontmatter
2. outline(note) before opening any note
3. get_section(note, title) to read only the part that matters
4. grep_notes(pattern) to search by content
Raw Grep/Read: last resort only.
If your client defers tool schemas, mark the server "alwaysLoad": true so the tools are
there from the first message.
Verify your install
python _handshake.py # full MCP stdio round-trip
python _smoke.py <your-vault> # builds the map and prints the token saving
License
MIT
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