Nats Mcp

Name: Nats Mcp
Author: sinadarbouy

@sinadarbouy

Nats Mcp について

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

#nats #natscli

基本情報

カテゴリ

その他

トランスポート

stdio

公開者

sinadarbouy

投稿者

Sina Darbouy

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "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>"
      }
    }
  }
}

ツール

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概要

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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