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.
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
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
- Clone the repository:
git clone https://github.com/anpigon/mcp-server-obsidian-omnisearch.git
cd mcp-server-obsidian-omnisearch
- 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
{
"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:
- Sync dependencies and update lockfile:
uv sync
- Build package distributions:
uv build
This will create source and wheel distributions in the dist/ directory.
- Publish to PyPI:
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:
--tokenorUV_PUBLISH_TOKEN - Or username/password:
--username/UV_PUBLISH_USERNAMEand--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.
Ratings
4.5★★★★★10 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.