What is Mcp Agent Runtime Go

mcp-agent-runtime-go is a modular Go runtime designed for the Model Context Protocol (MCP). It facilitates intelligent agent coordination, model selection, prompt optimization, and lifecycle-aware execution.

Use cases

Use cases include building intelligent agents for customer support, automating content generation, developing AI-driven applications that require real-time model switching, and optimizing user interactions through prompt management.

How to use

To use mcp-agent-runtime-go, install it via Go with the command ‘go get github.com/modelcontextprotocol/mcp-agent-runtime-go’. You can then implement its features such as SessionCoordinator, ModelRouter, and AgentGenerator in your applications.

Key features

Key features include: SessionCoordinator for request routing, ModelRouter for dynamic model selection, AgentGenerator for on-demand agent creation, PromptOptimizerStep for prompt transformation, HaltingPolicy for execution control, and DescriptorHash() for configuration validation.

Where to use

mcp-agent-runtime-go can be used in AI applications that require coordination of multiple models, dynamic agent generation, and optimized prompt management, particularly in environments that leverage AI for decision-making.

mcp-agent-runtime-go

A modular Go runtime for the Model Context Protocol (MCP) — designed for intelligent agent coordination, model selection, prompt optimization, and lifecycle-aware execution.

This SDK helps you build systems that:

• Coordinate multiple models (e.g., GPT-4o, Claude, Gemini)
• Dynamically generate and execute agents
• Route tasks based on trust, capability, or intent
• Manage prompt formatting and lifecycle control

📖 Read the full article on LinkedIn →

🧠 Why this exists

Modern AI infrastructure is agentic: prompts now flow through models, memory, tools, and reasoning layers. MCP offers a universal protocol for managing that flow.

This Go implementation provides:

• Concurrency-safe, production-ready execution
• Symbolically annotated agent flows
• Pluggable model and tool support
• Session lifecycle and halting controls

🔧 Key Features

• SessionCoordinator for request routing, lifecycle hooks
• ModelRouter for dynamic model selection
• AgentGenerator for building runtime agents on demand
• PromptOptimizerStep to transform user input into optimized prompts
• HaltingPolicy to bound execution
• DescriptorHash() to lock and validate execution configuration

📦 Installation

go get github.com/modelcontextprotocol/mcp-agent-runtime-go

📁 Project Structure

/core/               # Protocol definitions, session types
/model/              # ModelSpec, Registry, Router logic
/agentgen/           # Dynamic agent generation
/promptopt/          # Prompt optimization steps and templates
/ext/                # Optional extensions (e.g., memory, auth)
/transport/          # HTTP/SSE/WebSocket integrations
roadmap.md           # Strategic plan for contributors
README.md            # This file

🗺️ Roadmap Overview

See roadmap.md for full scoring and implementation priority.

🤝 Contributing

This repo is open for discussion and design iteration.

• Start with GitHub Discussion #364
• See roadmap.md for priorities
• Use structured PRs based on core module folders

📜 License

MIT License — open use encouraged with attribution.