AgentRPC + AgentAI: Complete MCP Integration

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

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

Installation

Step 1: Install AgentRPC

Configuration

Step 2: Configure AgentAI

1. Open AgentAI 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 AgentAI:

Multi-Language Microservices

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

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Cross-Cloud Function Calls

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Ask AgentAI: "Execute distributed data processing across three clouds"

Expected Result: undefined

Kubernetes Function Registry

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Ask AgentAI: "List available functions in production cluster"

Expected Result: undefined

Testing Your Setup

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

AgentRPC not appearing in AgentAI

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

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

Next Steps

Now that AgentRPC is integrated with AgentAI:

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

Need Help?

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