Agentset + gptme: Complete MCP Integration

Agentset is a MCP server that RAG for your knowledge base connected to Agentset..

When integrated with gptme, you can:

• Search through indexed documents using RAG
• Retrieve specific document by ID
• Perform semantic search across knowledge base

This guide provides step-by-step instructions to set up Agentset in gptme, including configuration, examples, and troubleshooting.

What You'll Achieve

After completing this setup:

• Agentset will be fully integrated and operational
• You can use Agentset tools directly in gptme
• All Agentset capabilities will be available for your workflows
• Access to 4 different tools

Prerequisites

Before starting, ensure you have:

• API key from Agentset dashboard
• Namespace identifier for knowledge base
• gptme installed and configured
• Compatible operating system (Terminal, Python, Cross-platform)

Installation

Step 1: Install Agentset

Configuration

Step 2: Configure gptme

1. Open gptme settings
2. Navigate to MCP server configuration
3. Add Agentset server with appropriate settings
4. Save and restart if needed

Examples

Once configured, you can use Agentset in gptme:

Technical Documentation Search

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Ask gptme: "How do I configure SSL certificates in our system?"

Expected Result: undefined

Code Example Retrieval

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Ask gptme: "Show me examples of error handling in our codebase"

Expected Result: undefined

Policy and Procedure Lookup

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Ask gptme: "What's our deployment approval process?"

Expected Result: undefined

Testing Your Setup

1. Launch gptme
2. Verify Agentset is available in the tools list
3. Test basic Agentset functionality

Troubleshooting

Common Issues

Installation Failed

Symptoms: pip install errors, Missing dependencies

Cause: Python environment or package conflicts

Solution:

• Use virtual environment for clean installation
• Update pip to latest version
• Install with pipx for isolation
• Check Python version compatibility

API Key Issues

Symptoms: Authentication errors, Model access denied

Cause: Missing or invalid API keys

Solution:

• Verify API keys are set correctly
• Check API key permissions and quotas
• Test API keys with curl or other tools
• Review model provider documentation

MCP Server Not Loading

Symptoms: Server load errors, Tools not available

Cause: Server configuration or installation issues

Solution:

• Verify server installation and PATH
• Check MCP server configuration syntax
• Test server independently before gptme integration
• Review gptme logs for connection errors

Terminal Display Issues

Symptoms: Formatting problems, Character encoding errors

Cause: Terminal compatibility or encoding issues

Solution:

• Ensure terminal supports UTF-8 encoding
• Try different terminal applications
• Check terminal color and formatting settings
• Update terminal application to latest version

Agentset not appearing in gptme

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

• Verify configuration syntax
• Check Agentset installation
• Restart gptme
• Check logs for error messages

Next Steps

Now that Agentset is integrated with gptme:

• Explore all Agentset capabilities through gptme
• Check out other MCP servers that work with gptme
• Join the MCP community for tips and support
• Consider contributing to Agentset development

Need Help?

• Search for Agentset documentation
• Check the gptme MCP guide
• Join the MCP community discussions