MarkusPfundstein

MCP server for Obsidian

Community MarkusPfundstein
Updated

MCP server to work with Obsidian via the remote REST plugin

MCP server for Obsidian

MCP server to interact with Obsidian via the Local REST API community plugin.

Components

Tools

The server implements multiple tools to interact with Obsidian:

  • list_files_in_vault: Lists all files and directories in the root directory of your Obsidian vault
  • list_files_in_dir: Lists all files and directories in a specific Obsidian directory
  • get_file_contents: Return the content of a single file in your vault.
  • search: Search for documents matching a specified text query across all files in the vault
  • patch_content: Insert content into an existing note relative to a heading, block reference, or frontmatter field.
  • append_content: Append content to a new or existing file in the vault.
  • delete_file: Delete a file or directory from your vault.

Example prompts

Its good to first instruct Claude to use Obsidian. Then it will always call the tool.

The use prompts like this:

  • Get the contents of the last architecture call note and summarize them
  • Search for all files where Azure CosmosDb is mentioned and quickly explain to me the context in which it is mentioned
  • Summarize the last meeting notes and put them into a new note 'summary meeting.md'. Add an introduction so that I can send it via email.

Configuration

Obsidian REST API Key

There are two ways to configure the environment with the Obsidian REST API Key.

  1. Add to server config (preferred)
{
  "mcp-obsidian": {
    "command": "uvx",
    "args": [
      "mcp-obsidian"
    ],
    "env": {
      "OBSIDIAN_API_KEY":"<your_api_key_here>"
    }
  }
}
  1. Create a .env file in the working directory with the following required variable:
OBSIDIAN_API_KEY=your_api_key_here

Note: You can find the key in the Obsidian plugin config.

Quickstart

Install

Obsidian REST API

You need the Obsidian REST API community plugin running: https://github.com/coddingtonbear/obsidian-local-rest-api

Install and enable it in the settings and copy the api key.

Claude Desktop

On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json

On Windows: %APPDATA%/Claude/claude_desktop_config.json

Development/Unpublished Servers Configuration
{
  "mcpServers": {
    "mcp-obsidian": {
      "command": "uv",
      "args": [
        "--directory",
        "<dir_to>/mcp-obsidian",
        "run",
        "mcp-obsidian"
      ]
    }
  }
}
Published Servers Configuration
{
  "mcpServers": {
    "mcp-obsidian": {
      "command": "uvx",
      "args": [
        "mcp-obsidian"
      ],
      "env": {
        "OBSIDIAN_API_KEY" : "<YOUR_OBSIDIAN_API_KEY>"
      }
    }
  }
}

Development

Building

To prepare the package for distribution:

  1. Sync dependencies and update lockfile:
uv sync

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debuggingexperience, we strongly recommend using the MCP Inspector.

You can launch the MCP Inspector via npm with this command:

npx @modelcontextprotocol/inspector uv --directory /path/to/mcp-obsidian run mcp-obsidian

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.

You can also watch the server logs with this command:

tail -n 20 -f ~/Library/Logs/Claude/mcp-server-mcp-obsidian.log

MCP Server ยท Populars

MCP Server ยท New

    LeulAria

    Aria Icons

    MCP server for 340k SVG icons

    Community LeulAria
    knowall-ai

    Reverie โ€” graph memory that dreams

    Memory management MCP server for AI agents using Neo4j knowledge graphs

    Community knowall-ai
    keploy

    Key Highlights

    Open-source platform for creating safe, isolated production sandboxes for API, integration, and E2E testing.

    Community keploy
    hermes-labs-ai

    Fidelis Memory

    Zero-LLM agent memory for Claude Code and AI agents: local-first BM25, dense-vector, and reciprocal-rank-fusion retrieval. Returns original passages verbatim by default. Available on PyPI as fidelis-memory. MIT.

    Community hermes-labs-ai
    n24q02m

    Better Code Review Graph

    Knowledge graph for token-efficient code reviews -- semantic search and call-graph resolution across your codebase.

    Community n24q02m