AI Tasks + gptme: Complete MCP Integration

AI Tasks is a MCP server that Let the AI manage complex plans with integrated task management and tracking tools. Supports STDIO, SSE and Streamable HTTP transports..

When integrated with gptme, you can:

• Create a new project plan with tasks
• Add a task to an existing plan
• Update task completion status

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

What You'll Achieve

After completing this setup:

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

Prerequisites

Before starting, ensure you have:

• gptme installed and configured
• Compatible operating system (Terminal, Python, Cross-platform)

Installation

Step 1: Install AI Tasks

Configuration

Step 2: Configure gptme

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

Examples

Once configured, you can use AI Tasks in gptme:

Project Management

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Ask gptme: "Create a plan for mobile app development with tasks"

Expected Result: undefined

Task Tracking

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Ask gptme: "Show all in-progress tasks and assign priorities"

Expected Result: undefined

Sprint Planning

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Ask gptme: "Create 2-week sprint with 20 story points"

Expected Result: undefined

Testing Your Setup

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

AI Tasks not appearing in gptme

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

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

Next Steps

Now that AI Tasks is integrated with gptme:

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

Need Help?

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