AgentRPC + ChatMCP: Complete MCP Integration

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

When integrated with ChatMCP, 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 ChatMCP, 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 ChatMCP
• 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
• ChatMCP installed and configured
• Compatible operating system (Desktop, Mobile)

Installation

Step 1: Install AgentRPC

Configuration

Step 2: Configure ChatMCP

1. Open ChatMCP 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 ChatMCP:

Multi-Language Microservices

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

Expected Result: undefined

Cross-Cloud Function Calls

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

Expected Result: undefined

Kubernetes Function Registry

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Ask ChatMCP: "List available functions in production cluster"

Expected Result: undefined

Testing Your Setup

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

Troubleshooting

Common Issues

Server Installation Failed

Symptoms: Market install hangs or errors

Cause: Missing runtime dependencies (e.g., Python/uv or Node.js).

Solution:

• Ensure you have Python and Node.js installed on your system.
• Try installing the server manually via terminal to check for errors.

Tool Loop / Hallucination

Symptoms: Model repeatedly calls the same tool, Model claims to do something but fails

Cause: Context overload or weak model performance.

Solution:

• Switch to a more capable model (e.g., Claude 3.5 Sonnet or GPT-4o).
• Disable unused MCP servers to reduce context noise.

AgentRPC not appearing in ChatMCP

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

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

Next Steps

Now that AgentRPC is integrated with ChatMCP:

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

Need Help?

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