by anpigon
Obsidian Omnisearch: Search and retrieve notes across Obsidian vaults to unlock personal knowledge for faster research a
Searches through your Obsidian vault notes programmatically, allowing AI assistants to access and retrieve information from your personal knowledge base.
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.
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.
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.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Strong directory entry: Obsidian Omnisearch surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, Obsidian Omnisearch benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Obsidian Omnisearch is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Obsidian Omnisearch is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Obsidian Omnisearch has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We evaluated Obsidian Omnisearch against two servers with overlapping tools; this profile had the clearer scope statement.
Strong directory entry: Obsidian Omnisearch surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Useful MCP listing: Obsidian Omnisearch is the kind of server we cite when onboarding engineers to host + tool permissions.
Obsidian Omnisearch reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Obsidian Omnisearch is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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A FastMCP-based server that provides Obsidian vault search functionality through a REST API interface.
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.
To install MCP Server Obsidian Omnisearch for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @anpigon/mcp-server-obsidian-omnisearch --client claude
git clone https://github.com/anpigon/mcp-server-obsidian-omnisearch.git
cd mcp-server-obsidian-omnisearch
uv install
The Obsidian vault path is now provided as a command line argument when running the server:
python server.py /path/to/your/obsidian/vault
You need the Obsidian Omnisearch community plugin running: https://publish.obsidian.md/omnisearch/Inject+Omnisearch+results+into+your+search+engine
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"
]
}
}
}
{
"mcpServers": {
"obsidian-omnisearch": {
"command": "uvx",
"args": [
"mcp-server-obsidian-omnisearch",
"/path/to/your/obsidian/vault"
]
}
}
}
obsidian_notes_search(query: str)query: Search query stringTo prepare the package for distribution:
uv sync
uv build
This will create source and wheel distributions in the dist/ directory.
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
--token or UV_PUBLISH_TOKEN--username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORDSince 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
This project is licensed under the MIT License - see the LICENSE file for details.
Contributions are welcome! Please feel free to submit a Pull Request.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.