AI Tasks + AgentAI: 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 AgentAI, 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 AgentAI, 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 AgentAI
• All AI Tasks capabilities will be available for your workflows
• Access to 4 different tools

Prerequisites

Before starting, ensure you have:

• AgentAI installed and configured
• Compatible operating system (Windows, macOS, Linux)

Installation

Step 1: Install AI Tasks

Configuration

Step 2: Configure AgentAI

1. Open AgentAI 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 AgentAI:

Project Management

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

Expected Result: undefined

Task Tracking

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

Expected Result: undefined

Sprint Planning

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

Expected Result: undefined

Testing Your Setup

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

Troubleshooting

Common Issues

Compilation Errors

Symptoms: Cargo build fails, Missing dependencies errors

Cause: Missing Rust toolchain or system dependencies

Solution:

• Ensure latest Rust toolchain is installed
• Install platform-specific build tools
• Check Cargo.toml for correct dependency versions
• Run cargo update to refresh dependencies

MCP Server Not Found

Symptoms: Runtime error finding server, Server command not found

Cause: MCP server not installed or not in PATH

Solution:

• Verify MCP server installation
• Use absolute path to server binary
• Ensure server has execute permissions
• Check environment variables are set correctly

Agent Initialization Fails

Symptoms: Agent creation errors, API key issues

Cause: Missing API keys or invalid configuration

Solution:

• Set required environment variables for AI provider
• Verify API key validity and permissions
• Check network connectivity to AI service
• Review AgentAI documentation for latest changes

AI Tasks not appearing in AgentAI

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

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

Next Steps

Now that AI Tasks is integrated with AgentAI:

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

Need Help?

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