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obsidian-mcp

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An MCP (Model Context Protocol) server for Obsidian vaults. Connects Claude (or any MCP client) directly to your vault — read, write, search, navigate links, and manage notes, canvases, and kanban boards.

Why obsidian-mcp?

The official Obsidian MCP plugin requires the Obsidian desktop app to be running and only works on the same machine. obsidian-mcp is a standalone server — no Obsidian app needed.

The intended setup is to host obsidian-mcp on a server or NAS where your vault is continuously synced (via Syncthing, git, rclone, or Obsidian Sync). Claude then connects to that server over the network, so:

  • Always up to date — the server sees every change your Obsidian app writes, immediately
  • Access from anywhere — connect from Claude Desktop, Claude Code, or any MCP client on any machine, without the vault being present locally
  • Multiple clients — several Claude sessions can read the vault simultaneously; writes are serialized with per-file locking
  • No app dependency — the server runs headless and starts automatically (systemd, Docker, etc.)
[Obsidian app]  ──sync──►  [vault on server]  ◄──MCP──  [Claude on any machine]
  (phone/laptop)              (NAS / VPS)                  (Claude Desktop / Code)

Features

  • Read & Search — read notes, search full-text (exact/regex/fuzzy), render embedded transclusions, inspect note outlines
  • Write — create/overwrite notes, patch sections, append content, update frontmatter, manage tags, move notes with automatic wikilink rewriting
  • Folders — list, create, delete, rename folders; renaming rewrites path-based wikilinks vault-wide
  • Query & Graph — backlinks, broken links, orphan detection, BFS link graph, vault stats, task collection across vault
  • Dataview-like queries — filter notes by tags, status, frontmatter fields, or inline fields (key:: value)
  • Periodic Notes — read/preview daily, weekly, monthly, quarterly, yearly journal notes from templates
  • Canvas — read, create, and patch Obsidian Canvas (.canvas) files
  • Kanban — read, create, and manipulate Obsidian Kanban boards (columns and cards)
  • Attachments — list, read (text or base64), and add binary files
  • Two auth variants — a static API key (Claude Code, Desktop, curl) and, optionally, GitHub OAuth (claude.ai Web/Mobile Custom Connector) — usable independently or at the same time
  • Templates — render Obsidian templates with built-in ({{date}}, {{title}}, …) and custom variables
  • MCP Resources — expose vault notes, stats, and tags as MCP resources for direct context injection

Installation

Via uvx (no clone needed):

VAULT_PATH=/your/vault uvx obsidian-remote-mcp

Via Docker (no Python needed):

docker compose up -d   # see docker-compose.yml

From source:

git clone https://github.com/ykoellmann/obsidian-mcp.git
cd obsidian-mcp
uv sync
uv run obsidian-remote-mcp

Configuration

Copy .env.example to .env and set your vault path:

VAULT_PATH=/path/to/your/obsidian/vault
# Optional:
# READ_ONLY=true            # prevent all writes
# WRITE_PATHS=Notes/,Inbox/ # restrict writes to specific folders
# TRANSPORT=stdio           # stdio (default) or sse

Full list of variables — including API_KEY, PUBLIC_BASE_URL, and the OAUTH_GITHUB_* variables for the optional second auth variant — is documented with inline comments in .env.example; see Remote Setup for the two auth variants in detail.

Usage with Claude Code

Add to your MCP config (e.g. ~/.claude/mcp.json):

{
  "mcpServers": {
    "obsidian": {
      "command": "uv",
      "args": ["--directory", "/path/to/obsidian-mcp", "run", "obsidian-remote-mcp"],
      "env": {
        "VAULT_PATH": "/path/to/your/obsidian/vault"
      }
    }
  }
}

Usage with Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "obsidian": {
      "command": "uv",
      "args": ["--directory", "/path/to/obsidian-mcp", "run", "obsidian-remote-mcp"],
      "env": {
        "VAULT_PATH": "/path/to/your/obsidian/vault"
      }
    }
  }
}

Docker

# 1. Copy and edit the environment variables
cp .env.example .env

# 2. Set HOST_VAULT_PATH and API_KEY in .env, then:
docker compose up -d

The docker-compose.yml pulls the pre-built image from GHCR — no cloning or building required. To build locally instead, swap image: for build: . in the compose file.

If you enable GitHub OAuth (see Option B), uncomment the fastmcp-data volume in docker-compose.yml so logins survive container restarts.

Remote Setup (Recommended)

Run obsidian-mcp on a server and connect to it remotely. Network transports (sse/streamable-http) need at least one of the two auth variants below — API key and GitHub OAuth are independent and can be used at the same time: keep the API key for Claude Code/Desktop/curl while adding OAuth only for claude.ai, or use either one alone.

Security: Always put a TLS-terminating reverse proxy (e.g. Caddy) in front when exposing to the internet — required for GitHub OAuth callbacks in particular, since GitHub rejects plain http:// callback URLs except on localhost. API_KEY/OAuth are not needed for stdio transport (local use only).

Option A: API key (Claude Code, Claude Desktop, curl, mcp-remote)

1. Generate an API key:

openssl rand -hex 32

2. Configure the server (docker-compose.yml or .env):

VAULT_PATH=/data/vault
TRANSPORT=sse
API_KEY=your-generated-key

3. Start:

docker compose up -d   # or: uv run obsidian-remote-mcp

4. Connect from your MCP client (anywhere on the network):

{
  "mcpServers": {
    "obsidian": {
      "type": "sse",
      "url": "https://your-server/sse",
      "headers": {
        "Authorization": "Bearer your-generated-key"
      }
    }
  }
}

Option B: GitHub OAuth (claude.ai Web/Mobile Custom Connector)

claude.ai's "Custom Connector" UI only has fields for OAuth (Authorization URL, Token URL, Client ID/Secret) — no field for a bearer token or custom header. obsidian-mcp handles the whole OAuth protocol for you (discovery endpoints, PKCE, token exchange); you only ever hand claude.ai your server's URL.

1. Create a GitHub OAuth App: GitHub → Settings → Developer settings → OAuth Apps → New OAuth App.

  • Homepage URL: your server's public URL (e.g. https://obsidian.example.com)
  • Authorization callback URL: the same URL + /auth/callback (e.g. https://obsidian.example.com/auth/callback)

Copy the generated Client ID and Client Secret.

2. Configure the server (docker-compose.yml or .env):

VAULT_PATH=/data/vault
TRANSPORT=sse
PUBLIC_BASE_URL=https://obsidian.example.com   # must match the GitHub callback host
OAUTH_GITHUB_CLIENT_ID=your-client-id
OAUTH_GITHUB_CLIENT_SECRET=your-client-secret
OAUTH_GITHUB_ALLOWED_LOGINS=your-github-username # comma-separated; required, no "allow anyone" fallback

OAUTH_GITHUB_ALLOWED_LOGINS is enforced at login: only the listed GitHub accounts can authenticate, everyone else is rejected, even with a valid GitHub account.

3. Start:

docker compose up -d   # or: uv run obsidian-remote-mcp

4. Connect from claude.ai: Settings → Connectors → Add Custom Connector, and enter just the server URL (https://obsidian.example.com/mcp). claude.ai discovers everything else (/.well-known/oauth-authorization-server, PKCE, etc.) automatically and redirects you to GitHub to log in on first connect.

Persistence in Docker: OAuth client registrations and tokens are stored under FastMCP's own data directory, which is not inside the vault volume by default. Without a persistent mount there, every container restart logs claude.ai out and forces re-authentication. Set FASTMCP_HOME to a mounted path (see docker-compose.yml) to avoid that.

Keep the vault synced on the server with Syncthing, git+cron, rclone, or Obsidian Sync — obsidian-mcp picks up changes automatically via its file watcher.

Vault Conventions (Customization)

Create _AI_INSTRUCTIONS.md in your vault root to teach the AI how your specific vault is organized:

## Structure
- `Notes/` — evergreen notes and concepts
- `Projects/` — active and archived projects (tag: #project/active, #project/done)
- `Journal/` — daily notes (YYYY-MM-DD.md)

## Frontmatter Schema
- status: active | done | inbox
- tags: nested with / (e.g. #concept/programming)

## Conventions
- Link by stem only, never by full path
- Every note needs a created: date in frontmatter

The server loads this file at startup and sends it to the AI as system instructions. Without it, built-in generic Obsidian syntax guidance is used. The _AI_INSTRUCTIONS.md is the right place for everything vault-specific — folder layout, tag schema, naming conventions, and any workflow rules.

Tool Reference

Category Tools
Read list_notes, read_note, search_notes, render_note, get_note_outline
Write write_note, patch_note, delete_note, append_to_note, patch_frontmatter, manage_tags, move_note
Folders list_folder, create_folder, delete_folder, rename_folder
Query query_notes, get_backlinks, get_broken_links, get_orphans, get_link_graph, get_vault_stats, get_tasks, resolve_alias
Tags get_notes_by_tag, get_tag_tree, list_all_tags
Periodic get_daily_note, get_periodic_note
Canvas list_canvases, read_canvas, write_canvas, patch_canvas
Kanban read_kanban, create_kanban_board, add_kanban_card, move_kanban_card, delete_kanban_card
Attachments list_attachments, read_attachment, add_attachment
Templates list_templates, create_from_template

Full parameter documentation is embedded in the server and shown automatically to connected AI clients.

Architecture

src/obsidian_mcp/
├── config.py          # env-based config (VAULT_PATH, READ_ONLY, WRITE_PATHS)
├── server.py          # FastMCP entry point, tool and resource registrations
├── domain/
│   ├── models.py      # Note dataclass (frontmatter, tags, wikilinks, tasks, …)
│   ├── parser.py      # Markdown parser (YAML frontmatter, wikilinks, block refs, …)
│   └── index.py       # VaultIndex — alias resolution, backlinks, tag tree, BFS
├── storage/
│   ├── filesystem.py  # atomic writes (temp + os.replace), path validation
│   ├── locking.py     # per-file filelock to prevent concurrent write conflicts
│   └── watcher.py     # watchdog-based vault change detection (polling fallback)
└── tools/
    ├── read.py        # read_note, search_notes, render_note, get_note_outline
    ├── write.py       # write_note, patch_note, move_note, manage_tags, …
    ├── query.py       # graph tools, task aggregation, periodic notes, query_notes
    ├── folders.py     # folder management
    ├── canvas.py      # Obsidian Canvas (.canvas JSON) tools
    ├── kanban.py      # Obsidian Kanban plugin tools
    ├── attachments.py # binary and text attachment handling
    └── templates.py   # template rendering with variable substitution

Development

uv run pytest                  # run tests (268 tests)
uv run ruff check src/ tests/  # lint

License

MIT

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