AgentRPC + fast-agent: Complete MCP Integration
AgentRPC is a MCP server that Connect to any function, any language, across network boundaries using AgentRPC..
When integrated with fast-agent, 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 fast-agent, 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 fast-agent
- 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
- fast-agent installed and configured
- Compatible operating system (Node.js, Cross-platform, Edge Environments)
Installation
Step 1: Install AgentRPC
Configuration
Step 2: Configure fast-agent
- Open fast-agent settings
- Navigate to MCP server configuration
- Add AgentRPC server with appropriate settings
- Save and restart if needed
Examples
Once configured, you can use AgentRPC in fast-agent:
Multi-Language Microservices
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Ask fast-agent: "Call Python ML model from TypeScript app via Go API"
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Cross-Cloud Function Calls
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Ask fast-agent: "Execute distributed data processing across three clouds"
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Kubernetes Function Registry
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Ask fast-agent: "List available functions in production cluster"
Expected Result: undefined
Testing Your Setup
- Launch fast-agent
- Verify AgentRPC is available in the tools list
- Test basic AgentRPC functionality
Troubleshooting
Common Issues
Poor Performance
Symptoms: Slow startup, High memory usage, Slow tool execution
Cause: Suboptimal configuration or resource constraints
Solution:
- Tune concurrency and pool size settings
- Optimize MCP server performance
- Check system resources and limits
- Profile application for bottlenecks
Agent Crashes Under Load
Symptoms: Out of memory errors, Process crashes
Cause: Resource limits exceeded
Solution:
- Reduce concurrency limits
- Increase memory limits if possible
- Implement graceful degradation
- Monitor resource usage patterns
MCP Server Timeouts
Symptoms: Tool execution timeouts, Connection errors
Cause: Server overload or network issues
Solution:
- Increase timeout values
- Implement retry logic
- Scale MCP server infrastructure
- Use connection pooling and caching
AgentRPC not appearing in fast-agent
Symptoms: Server not listed, Tools not available
Cause: Configuration or installation issue
Solution:
- Verify configuration syntax
- Check AgentRPC installation
- Restart fast-agent
- Check logs for error messages
Next Steps
Now that AgentRPC is integrated with fast-agent:
- Explore all AgentRPC capabilities through fast-agent
- Check out other MCP servers that work with fast-agent
- Join the MCP community for tips and support
- Consider contributing to AgentRPC development
Need Help?
- Search for AgentRPC documentation
- Check the fast-agent MCP guide
- Join the MCP community discussions