AgentRPC + BeeAI Framework: Complete MCP Integration

AgentRPC is a MCP server that Connect to any function, any language, across network boundaries using AgentRPC..

When integrated with BeeAI Framework, you can:

• Register functions across languages and networks
• Call functions across network boundaries
• List all registered functions across languages

This guide provides step-by-step instructions to set up AgentRPC in BeeAI Framework, including configuration, examples, and troubleshooting.

What You'll Achieve

After completing this setup:

• AgentRPC will be fully integrated and operational
• You can use AgentRPC tools directly in BeeAI Framework
• All AgentRPC capabilities will be available for your workflows
• Access to 4 different tools

Prerequisites

Before starting, ensure you have:

• API secret from AgentRPC dashboard
• BeeAI Framework installed and configured
• Compatible operating system (Node.js, Cross-platform)

Installation

Step 1: Install AgentRPC

Configuration

Step 2: Configure BeeAI Framework

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

Examples

Once configured, you can use AgentRPC in BeeAI Framework:

Multi-Language Microservices

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Ask BeeAI Framework: "Call Python ML model from TypeScript app via Go API"

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Cross-Cloud Function Calls

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Ask BeeAI Framework: "Execute distributed data processing across three clouds"

Expected Result: undefined

Kubernetes Function Registry

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Ask BeeAI Framework: "List available functions in production cluster"

Expected Result: undefined

Testing Your Setup

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

AgentRPC not appearing in BeeAI Framework

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

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

Next Steps

Now that AgentRPC is integrated with BeeAI Framework:

• Explore all AgentRPC 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 AgentRPC development

Need Help?

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