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.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
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 48 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
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
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ 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.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.4★★★★★48 reviews- ★★★★★Nikhil Verma· Dec 28, 2024
Strong directory entry: Obsidian Omnisearch surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Aditi Sanchez· Dec 28, 2024
According to our notes, Obsidian Omnisearch benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Fatima Garcia· Dec 16, 2024
Obsidian Omnisearch is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Sakura Perez· Nov 19, 2024
Obsidian Omnisearch is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Yusuf Zhang· Nov 19, 2024
Obsidian Omnisearch has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Sakshi Patil· Nov 11, 2024
We evaluated Obsidian Omnisearch against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Tariq Gill· Nov 7, 2024
Strong directory entry: Obsidian Omnisearch surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Ren Thompson· Oct 26, 2024
Useful MCP listing: Obsidian Omnisearch is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Yusuf Chawla· Oct 10, 2024
Obsidian Omnisearch reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Yusuf Harris· Oct 10, 2024
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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