Vectorize + Tome: Complete MCP Integration
Vectorize is a MCP server that Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking..
When integrated with Tome, you can:
- Access Vectorize functionality through Tome
This guide provides step-by-step instructions to set up Vectorize in Tome, including configuration, examples, and troubleshooting.
What You'll Achieve
After completing this setup:
- Vectorize will be fully integrated and operational
- You can use Vectorize tools directly in Tome
- All Vectorize capabilities will be available for your workflows
Prerequisites
Before starting, ensure you have:
- Tome installed and configured
- Compatible operating system (macOS)
Installation
Step 1: Install Vectorize
Configuration
Step 2: Configure Tome
- Open Tome settings
- Navigate to MCP server configuration
- Add Vectorize server with appropriate settings
- Save and restart if needed
Examples
Once configured, you can use Vectorize in Tome:
Testing Your Setup
- Launch Tome
- Verify Vectorize is available in the tools list
- Test basic Vectorize functionality
Troubleshooting
Common Issues
Server Error
Symptoms: Red dot indicator on server
Cause: Missing dependency or configuration
Solution:
- Click the server to view logs
- Ensure you have required runtimes (Node.js, Python) installed if not bundled
Vectorize not appearing in Tome
Symptoms: Server not listed, Tools not available
Cause: Configuration or installation issue
Solution:
- Verify configuration syntax
- Check Vectorize installation
- Restart Tome
- Check logs for error messages
Next Steps
Now that Vectorize is integrated with Tome:
- Explore all Vectorize capabilities through Tome
- Check out other MCP servers that work with Tome
- Join the MCP community for tips and support
- Consider contributing to Vectorize development
Need Help?
- Search for Vectorize documentation
- Check the Tome MCP guide
- Join the MCP community discussions