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

Prerequisites

Before starting, ensure you have:

• BeeAI Framework installed and configured
• Compatible operating system (Node.js, Cross-platform)

Installation

Step 1: Install AI Tasks

Configuration

Step 2: Configure BeeAI Framework

1. Open BeeAI Framework 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 BeeAI Framework:

Project Management

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

Expected Result: undefined

Task Tracking

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

Expected Result: undefined

Sprint Planning

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

Expected Result: undefined

Testing Your Setup

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

Troubleshooting

Common Issues

Framework Installation Fails

Symptoms: npm install errors, Dependency conflicts

Cause: Node.js version or dependency issues

Solution:

• Verify Node.js version compatibility
• Clear npm cache and node_modules
• Use npm ci for clean installation
• Check for conflicting global packages

Configuration Not Loaded

Symptoms: Config file ignored, Default settings used

Cause: Configuration file syntax or location issues

Solution:

• Verify beeai.config.js syntax is correct
• Check configuration file location in project root
• Use absolute paths for server executables
• Validate JSON/JavaScript configuration format

Workflow Execution Fails

Symptoms: Workflow errors, MCP tools not available

Cause: MCP server connection or tool execution issues

Solution:

• Check MCP server installation and PATH
• Verify server is responding to connections
• Test server independently before framework integration
• Review workflow logs for specific error messages

AI Tasks not appearing in BeeAI Framework

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

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

Next Steps

Now that AI Tasks is integrated with BeeAI Framework:

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

Need Help?

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