beginner⏱️ 14-24 minutes📅 Updated June 2026

Step-by-step guide to integrate AgentRPC MCP server with oterm. Includes register_function and call_remote_function.

AgentRPC + oterm: Complete MCP Integration

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

When integrated with oterm, 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 oterm, 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 oterm
  • 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
  • oterm installed and configured
  • Compatible operating system (CLI (Terminal))

Installation

Step 1: Install AgentRPC

Configuration

Step 2: Configure oterm

  1. Open oterm 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 oterm:

Multi-Language Microservices

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

Expected Result: undefined

Cross-Cloud Function Calls

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

Expected Result: undefined

Kubernetes Function Registry

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Ask oterm: "List available functions in production cluster"

Expected Result: undefined

Testing Your Setup

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

Troubleshooting

Common Issues

Connection Refused

Symptoms: Failed to connect to Ollama

Cause: Ollama service is not running

Solution:

  • Start Ollama with ollama serve
  • Check if Ollama is running on the default port (11434)

Tool Not Found

Symptoms: Model does not use the tool, Tool execution failed

Cause: MCP server not configured correctly or crashed

Solution:

  • Check the config.json for syntax errors
  • Verify the MCP server command works independently in the terminal
  • Ensure the model supports tool calling (e.g., llama3.1)

AgentRPC not appearing in oterm

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

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

Next Steps

Now that AgentRPC is integrated with oterm:

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

Need Help?

Related Resources

More Integrations

Explore other MCP servers that work with oterm

Need Help?

Join the MCP community for support and discussions

AgentRPC + oterm: MCP Setup Guide (2026)