API Development stdio

Mcp-Go

Created by mark3labs

Implements the Model Context Protocol (MCP) in Go, facilitating integration between LLM applications and external data sources and tools.

How to Connect & Install

Select your client or environment below to copy the verified, ready-to-run installation configuration.

1-line autonomous agent setup instruction. Paste into Claude Code, Codex CLI, or Cursor Agent:
Fetch and configure Model Context Protocol (MCP) server Mcp-Go from https://www.fastmcp.dev/server/mcp-go

Agents automatically discover, install, and execute the server spec without manual token setup.

Connect via direct Stateless MCP v2 / Streamable HTTP endpoint or JSON-RPC:
https://github.com/mark3labs/mcp-go

Stateless edge endpoint compliant with MCP 2024-11-05 and v2 draft protocol specs.

Includes server instructions and tool definitions for Claude:
claude mcp add mcp-go -- npx -y mcp-go

Run in terminal to register server in current project or pass --scope user for global availability.

Configures server instructions and tools for OpenAI Codex & ChatGPT Desktop:
[mcp_servers.mcp_go] command = "npx" args = ["-y","mcp-go"]

Applies to ChatGPT Desktop app, Codex CLI, and IDE extension across your Codex host.

Add to Cursor project settings (.cursor/mcp.json) or Cursor Settings > Features > MCP:
{ "mcpServers": { "mcp-go": { "type": "stdio", "command": "npx", "args": [ "-y", "mcp-go" ] } } }

Commit to version control to allow teammates to connect immediately.

Install as an autonomous Agent Skill using the standard skills CLI:
npx skills add https://github.com/mark3labs/mcp-go

Standard agent skill installer compatible with Claude Code, Cursor, and agy harnesses.

Server Guidance & Instructions OpenAI & Claude Spec Compliant
Mcp-Go: Implements the Model Context Protocol (MCP) in Go, facilitating integration between LLM applications and external data sources and tools. Key capabilities: Provides a high-level interface for faster development; Simplifies building MCP servers with minimal boilerplate

Codex and Claude read this instruction prompt during initialization to orchestrate cross-tool workflows and rate limits.

Top Core Functions
01 Build servers with minimal boilerplate
02 Expose data resources to LLMs
03 Define reusable prompt interaction templates