TRPC Agent Go
trpc-agent-go is a powerful Go framework for building intelligent agent systems using large language models (LLMs) and tools.
What is TRPC Agent Go?
TRPC Agent Go is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to trpc-agent-go is a powerful go framework for building intelligent agent systems using large language models (llms) and tools.
trpc-agent-go is a powerful Go framework for building intelligent agent systems using large language models (LLMs) and tools.
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- trpc-agent-go is a powerful Go framework for building intell
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx trpc-agent-goConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use TRPC Agent Go
trpc-agent-go is a Go framework for building intelligent, LLM-powered agent systems that integrates natively with the Model Context Protocol. It lets developers define agents with streaming tool execution, convert any Go function into a callable tool, connect to MCP servers for dynamic capability discovery, and persist memory across sessions with SQLite-backed CRUD and search. The framework ships with built-in integrations for web search (DuckDuckGo), file operations, code execution in a sandbox, OpenTelemetry observability, and prompt caching — making it a complete foundation for production Go-based AI agents.
Prerequisites
- Go 1.21 or later installed
- An OpenAI-compatible API key (OPENAI_API_KEY) or access to another supported LLM provider
- Git to clone the repository
- An MCP-compatible client if using the MCP server mode (e.g. Claude Desktop)
Clone the repository
Clone trpc-agent-go from GitHub and navigate into the project directory. The repository includes example agents and a quickstart demonstrating tool integration.
git clone https://github.com/trpc-group/trpc-agent-go.git
cd trpc-agent-goSet your LLM provider credentials
Export your API key and optionally a custom base URL if you are using an OpenAI-compatible provider other than api.openai.com. The framework reads these from environment variables.
export OPENAI_API_KEY="your-api-key"
export OPENAI_BASE_URL="https://api.openai.com/v1" # optional overrideInstall dependencies and build
Download Go module dependencies and verify the project compiles cleanly before running examples.
go mod tidy
go build ./...Run the quickstart example agent
Execute the included quickstart to confirm the framework is working. The example creates an agent with a calculator tool and demonstrates streaming multi-turn execution.
go run ./examples/quickstartDefine a custom Go function as an MCP tool
Use the framework's function-tool adapter to wrap any Go function and make it callable by an LLM agent. The adapter handles JSON schema generation and argument validation automatically.
Add the MCP server to your client configuration
Once you have built a binary that exposes an MCP server endpoint, register it in your MCP client configuration pointing to your compiled binary.
TRPC Agent Go Examples
Client configuration
Configure your MCP client to launch the trpc-agent-go MCP server binary after you have built it from source.
{
"mcpServers": {
"trpc-agent-go": {
"command": "./trpc-agent-go-server",
"args": [],
"env": {
"OPENAI_API_KEY": "your-api-key"
}
}
}
}Prompts to try
Example prompts that exercise the framework's built-in tools and agent capabilities.
- "What is the current time? Then calculate 15 multiplied by 23 plus 100"
- "Search the web for the latest Go release notes and summarize what changed"
- "Read the file ./config.json and validate its structure against the expected schema"
- "Execute this Python snippet in a sandbox: print(sum(range(1, 101)))"
- "Search the conversation memory for anything we discussed about the database migration"Troubleshooting TRPC Agent Go
Build fails with missing module errors after cloning
Run `go mod tidy` to download all dependencies. If you are behind a corporate proxy, set GOPROXY=https://proxy.golang.org,direct and GONOSUMCHECK=* as needed.
Agent returns errors about the LLM API key being invalid or missing
Verify OPENAI_API_KEY is exported in the same shell session where you run the agent, or set it in the env block of your MCP client configuration. Check that the key has not expired and has API access enabled.
Memory tools do not persist data between agent runs
The SQLite memory store writes to a file in the working directory. Ensure you run the agent from a consistent directory and that the path is writable. Check the SKILLS_CACHE_DIR environment variable if you have overridden the default storage location.
Frequently Asked Questions about TRPC Agent Go
What is TRPC Agent Go?
TRPC Agent Go is a Model Context Protocol (MCP) server that trpc-agent-go is a powerful go framework for building intelligent agent systems using large language models (llms) and tools. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install TRPC Agent Go?
Follow the installation instructions on the TRPC Agent Go GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with TRPC Agent Go?
TRPC Agent Go works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is TRPC Agent Go free to use?
Yes, TRPC Agent Go is open source and available under the NOASSERTION license. You can use it freely in both personal and commercial projects.
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Set Up TRPC Agent Go in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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