AgentMode + gptme: Complete MCP Integration

AgentMode is a MCP server that Connect to dozens of databases, data warehouses, Github & more, from a single MCP server. Run the Docker image locally, in the cloud, or on-premise..

When integrated with gptme, you can:

• Execute SQL queries across connected databases
• Interact with GitHub repositories and issues
• Connect to data warehouses like Snowflake, BigQuery

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

What You'll Achieve

After completing this setup:

• AgentMode will be fully integrated and operational
• You can use AgentMode tools directly in gptme
• All AgentMode capabilities will be available for your workflows
• Access to 3 different tools

Prerequisites

Before starting, ensure you have:

• API key from AgentMode dashboard
• Workspace identifier
• gptme installed and configured
• Compatible operating system (Terminal, Python, Cross-platform)

Installation

Step 1: Install AgentMode

Configuration

Step 2: Configure gptme

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

Examples

Once configured, you can use AgentMode in gptme:

Multi-Database Analytics

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Ask gptme: "Show me user engagement metrics from both databases"

Expected Result: undefined

GitHub Issue Management

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Ask gptme: "Create issues for users with failed payments"

Expected Result: undefined

Data Pipeline Monitoring

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Ask gptme: "Check status of yesterday's data pipeline runs"

Expected Result: undefined

Testing Your Setup

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

AgentMode not appearing in gptme

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

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

Next Steps

Now that AgentMode is integrated with gptme:

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

Need Help?

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