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Nats Mcp

@sinadarbouy

关于 Nats Mcp

This project provides a Model Context Protocol (MCP) server for NATS, enabling AI models and applications to interact with NATS messaging systems through a standardized interface. It exposes a comprehensive set of tools for interacting with NATS servers, making it ideal for AI-po

基本信息

分类

其他

传输方式

stdio

发布者

sinadarbouy

提交者

Sina Darbouy

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "nats": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--init",
        "-e",
        "NATS_URL",
        "-e",
        "NATS_SYS_CREDS",
        "cnadb/mcp-nats",
        "--transport",
        "stdio"
      ],
      "env": {
        "NATS_SYS_CREDS": "<base64 of SYS account creds>",
        "NATS_URL": "<nats url>"
      }
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Nats Mcp?

Nats Mcp is an MCP server that connects AI assistants to the NATS messaging system. It is for developers who want to interact with NATS servers through Model Context Protocol clients.

How to use Nats Mcp?

Install via go install or build from source, then run with required environment variables (NATS_URL, optional NATS_<ACCOUNT>_CREDS). Configure transport (stdio or SSE), log level, and logging format via command line flags.

Key features of Nats Mcp

  • Supports both stdio and SSE transports
  • Base64‑encoded NATS credentials per account
  • Configurable logging (debug/info/warn/error, JSON output)
  • Docker‑ready deployment
  • VSCode and Cursor integration examples provided

Use cases of Nats Mcp

FAQ from Nats Mcp

What environment variables are required?

NATS_URL (e.g., nats://localhost:4222) is required. Optional NATS_<ACCOUNT>_CREDS variables hold base64‑encoded credentials for each account (e.g., NATS_SYS_CREDS).

What transport types are available?

The --transport flag accepts stdio (default) or sse. With SSE, the server listens on the address specified by --sse-address (default 0.0.0.0:8000).

How do I configure logging?

Use --log-level to set level (debug, info, warn, error; default info) and --json-logs to output logs in JSON format (default false).

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