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Expose your Obsidian vault via REST API and streamable HTTP MCP server for AI tool access

Project description

obsidian-ai-miniserver

A complete Obsidian tool in ~320 tokens! (see tool_prompt.md)

Makes your Obsidian vault accessible via REST API (OpenAPI) and a streamable HTTP MCP server. Enables AI to find, read, and edit text notes. Supports multiple users with token-based auth and path-level access control.

Browse the API on Redocly or Swagger.

Home page showing admin user

What's good about it

Maximum Control

  • Works for any form of text files in vault — markdown, json, etc
  • AI can do advanced regex searches
  • Limits, Paging, Sort on all requests — AI can adjust snippet sizes on search results, no more tokens than it needs
  • Every call is a batch — multiple operations in one round-trip by default saves time and tokens
  • Create multiple users with their own keys, different read/write permissions and folder access
  • Keep your personal vault personal — while enabling agents access to specific subsets
Users list

Maximum Flexibility

  • Access anywhere — WebUI for humans, MCP http streaming for agents, OpenAPI for integrations
  • Run anywhere — Locally with Obsidian app, headless in container, with Obsidian Sync or just from folder
  • Compatibility built-in — Agent harness dropping rich parameter schemas? We collapse the schema into the function docstring and accept a plain JSON string
User detail with access rules

Maximum Token Efficiency = Faster and Cheaper

  • Single CLI command, single tool interface for AI
  • AI can perform all admin work — once connected, it takes over setup for you
  • Maximally powerful requests to minimize request and param counts
  • The entire tool schema uses ~320 tokens thanks to minimized docstrings, zero duplication or boilerplate — see tool_prompt.md
  • ~50% token savings vs raw FastMCP generated schemas with no information loss

Quick start

pip install obsidian-ai-miniserver
obs_ai_ms start /path/to/vault --admin-token your_token

This starts both servers on their default ports. Connect your AI to the MCP endpoint or the REST API.

Login page

Options

Option Env Var Default Description
vault_path (required) Path to the Obsidian vault
--admin-token OBS_AI_MS_ADMIN_TOKEN (none) Auth token for the admin user
--port OBS_AI_MS_PORT 8747 Server port
--host OBS_AI_MS_HOST 127.0.0.1 Host to bind to. Use 0.0.0.0 to allow remote access
--fqdn OBS_AI_MS_FQDN (none) Public URL for self-linking
--base-path OBS_AI_MS_BASE_PATH (none) Base path when behind a reverse proxy
Config page

Persistence

Config is stored at .obsidian/obsidian_ai_miniserver.json inside the vault — user list with tokens and path access rules.

Add user page

Headless deployment

Run headless in a Docker container with Obsidian Headless — no desktop app needed. The docker-compose.yaml is fully self-contained: it installs everything from the internet at startup.

You can paste it directly into a container platform like Coolify — just set the environment variables:

Env Var Description
OBSIDIAN_USERNAME Your Obsidian account email
OBSIDIAN_PASSWORD Your Obsidian account password
OBSIDIAN_VAULTNAME Name of your remote vault
OBS_AI_MS_ADMIN_TOKEN Admin auth token
OBS_AI_MS_HOST Host to bind to (default 0.0.0.0)
OBS_AI_MS_PORT Server port (default 8747)
OBS_AI_MS_FQDN Public URL for self-linking
OBS_AI_MS_BASE_PATH Base path when behind a reverse proxy

Or via CLI:

OBSIDIAN_USERNAME=you@example.com OBSIDIAN_PASSWORD=secret OBSIDIAN_VAULTNAME="My Vault" docker compose up

API reference

All requests go to POST /api/obsidian as a JSON array of request objects, each with a kind field that discriminates the request type. Available kinds:

  • get_vault_info — vault name, daily notes folder, your user info
  • list_files — list files and folders at a path
  • read_text — read a note's text
  • write_text — overwrite a note
  • append_text — append to a note
  • replace_text — find and replace text in a note
  • move_file — move, copy, or delete a file
  • search_files — regex search across notes and text files with context snippets
  • list_users / upsert_user — admin user management

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