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Mcp Server Obsidian Omnisearch

Mcp Server Obsidian Omnisearch

作成者 anpigon•a day ago
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An MCP server that enables searches within Obsidian vaults using the Omnisearch plugin API. Returns absolute paths to matching notes for seamless integration. 🚀

Search & Knowledge Discovery
obsidianomnisearchsecondbrain

MCP Server Obsidian Omnisearch

A FastMCP-based server that provides Obsidian vault search functionality through a REST API interface.

Overview

This project implements a search service that allows you to search through Obsidian vault notes programmatically. It uses FastMCP to expose the search functionality as a tool that can be integrated with other services.

Features

  • Search through Obsidian vault notes
  • REST API integration
  • Returns absolute paths to matching notes
  • Easy integration with FastMCP tools

Prerequisites

  • Python 3.x
  • Obsidian with Omnisearch plugin installed and running
  • FastMCP library
  • Active Obsidian vault

Installation

Installing via Smithery

To install MCP Server Obsidian Omnisearch for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @anpigon/mcp-server-obsidian-omnisearch --client claude

Manual Installation

  1. Clone the repository:
git clone https://github.com/anpigon/mcp-server-obsidian-omnisearch.git
cd mcp-server-obsidian-omnisearch
  1. Install dependencies:
uv install

Configuration

The Obsidian vault path is now provided as a command line argument when running the server:

python server.py /path/to/your/obsidian/vault

Usage

Obsidian Omnisearch API

You need the Obsidian Omnisearch community plugin running: https://publish.obsidian.md/omnisearch/Inject+Omnisearch+results+into+your+search+engine

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Development/Unpublished Servers Configuration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": {
    "obsidian-omnisearch": {
      "command": "uv",
      "args": [
        "--directory",
        "<dir_to>/mcp-server-obsidian-omnisearch",
        "run",
        "mcp-server-obsidian-omnisearch",
        "/path/to/your/obsidian/vault"
      ]
    }
  }
}
Published Servers Configuration
{
  "mcpServers": {
    "obsidian-omnisearch": {
      "command": "uvx",
      "args": [
        "mcp-server-obsidian-omnisearch",
        "/path/to/your/obsidian/vault"
      ]
    }
  }
}

API Reference

Search Notes

  • Function: obsidian_notes_search(query: str)
  • Description: Searches Obsidian notes and returns absolute paths to matching notes
  • Parameters:
    • query: Search query string
  • Returns: List of absolute paths to matching notes

Development

Building and Publishing

To prepare the package for distribution:

  1. Sync dependencies and update lockfile:
uv sync
  1. Build package distributions:
uv build

This will create source and wheel distributions in the dist/ directory.

  1. Publish to PyPI:
uv publish

Note: You’ll need to set PyPI credentials via environment variables or command flags:

  • Token: --token or UV_PUBLISH_TOKEN
  • Or username/password: --username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORD

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, 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-server-obsidian-omnisearch run mcp-server-obsidian-omnisearch

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-server-obsidian-omnisearch.log

Dependencies

  • FastMCP
  • requests
  • urllib

License

This project is licensed under the MIT License - see the LICENSE{:target=“_blank”} file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

前提条件

  • •サーバーのドメインに精通している
  • •関連技術の基本的な理解
  • •Search & Knowledge Discoveryの知識

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詳細

作成日

August 02, 2025

最終更新日

August 02, 2025

カテゴリー

Search & Knowledge Discovery

作成者

anpigon

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