Agentset + BeeAI Framework: Complete MCP Integration

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

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

Installation

Step 1: Install Agentset

Configuration

Step 2: Configure BeeAI Framework

1. Open BeeAI Framework 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 BeeAI Framework:

Technical Documentation Search

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

Expected Result: undefined

Code Example Retrieval

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

Expected Result: undefined

Policy and Procedure Lookup

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Ask BeeAI Framework: "What's our deployment approval process?"

Expected Result: undefined

Testing Your Setup

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

Agentset not appearing in BeeAI Framework

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

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

Next Steps

Now that Agentset is integrated with BeeAI Framework:

• Explore all Agentset 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 Agentset development

Need Help?

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