Vectara + SpinAI: Complete MCP Integration
Vectara is a MCP server that Query Vectara's trusted RAG-as-a-service platform..
When integrated with SpinAI, you can:
- Access Vectara functionality through SpinAI
This guide provides step-by-step instructions to set up Vectara in SpinAI, including configuration, examples, and troubleshooting.
What You'll Achieve
After completing this setup:
- Vectara will be fully integrated and operational
- You can use Vectara tools directly in SpinAI
- All Vectara capabilities will be available for your workflows
Prerequisites
Before starting, ensure you have:
- SpinAI installed and configured
- Compatible operating system (Node.js)
Installation
Step 1: Install Vectara
Configuration
Step 2: Configure SpinAI
- Open SpinAI settings
- Navigate to MCP server configuration
- Add Vectara server with appropriate settings
- Save and restart if needed
Examples
Once configured, you can use Vectara in SpinAI:
Testing Your Setup
- Launch SpinAI
- Verify Vectara is available in the tools list
- Test basic Vectara functionality
Troubleshooting
Common Issues
Tool Execution Error
Symptoms: Agent fails to retrieve data
Cause: MCP server process crashed or returned invalid JSON
Solution:
- Enable debug logging in SpinAI
- Check stderr of the MCP server process
Timeout
Symptoms: Agent hangs on tool call
Cause: MCP server is unresponsive
Solution:
- Configure timeouts in
createMCPTooloptions
Vectara not appearing in SpinAI
Symptoms: Server not listed, Tools not available
Cause: Configuration or installation issue
Solution:
- Verify configuration syntax
- Check Vectara installation
- Restart SpinAI
- Check logs for error messages
Next Steps
Now that Vectara is integrated with SpinAI:
- Explore all Vectara capabilities through SpinAI
- Check out other MCP servers that work with SpinAI
- Join the MCP community for tips and support
- Consider contributing to Vectara development
Need Help?
- Search for Vectara documentation
- Check the SpinAI MCP guide
- Join the MCP community discussions