productivitydeveloper-tools

Obsidian Omnisearch

by anpigon

Obsidian Omnisearch: Search and retrieve notes across Obsidian vaults to unlock personal knowledge for faster research a

Integrates Obsidian vaults to enable searching and retrieving notes, leveraging personal knowledge for various applications.

github stars

25

Requires Obsidian Omnisearch pluginREST API integration

best for

  • / Knowledge workers with extensive Obsidian vaults
  • / Researchers wanting AI access to their notes
  • / Personal productivity automation

capabilities

  • / Search Obsidian vault notes by keyword
  • / Retrieve note content and metadata
  • / Get absolute file paths to matching notes
  • / Query personal knowledge base programmatically

what it does

Searches through your Obsidian vault notes programmatically, allowing AI assistants to access and retrieve information from your personal knowledge base.

about

Obsidian Omnisearch is a community-built MCP server published by anpigon that provides AI assistants with tools and capabilities via the Model Context Protocol. Obsidian Omnisearch: Search and retrieve notes across Obsidian vaults to unlock personal knowledge for faster research a It is categorized under productivity, developer tools.

how to install

You can install Obsidian Omnisearch in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Obsidian Omnisearch is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

MCP Server Obsidian Omnisearch

smithery badge 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

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Development/Unpublished Servers Configuration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

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 file for details.

Contributing

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

FAQ

What is the Obsidian Omnisearch MCP server?
Obsidian Omnisearch is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Obsidian Omnisearch?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    Obsidian Omnisearch is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated Obsidian Omnisearch against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Obsidian Omnisearch is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    Obsidian Omnisearch reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend Obsidian Omnisearch for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: Obsidian Omnisearch surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    Obsidian Omnisearch has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, Obsidian Omnisearch benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired Obsidian Omnisearch into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    Obsidian Omnisearch is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.