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Aider MCP WebSocket Server

@larock22

代码仓库

基本信息

分类

其他

许可证

MIT license

传输方式

stdio

作者

larock22

关于 Aider MCP WebSocket Server

WebSocket server that exposes Aider's AI coding capabilities through the Model Context Protocol (MCP) for programmatic access

#typescript#websocket#openai#aider#ai-coding#model-context-protocol#mcp-server

Aider MCP WebSocket Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "aider-mcp": {
      "command": "python3",
      "args": [
        "test-debug.py"
      ]
    }
  }
}

Aider MCP WebSocket Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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 Aider MCP WebSocket Server?

A real MCP (Model Context Protocol) server that lets you control Aider programmatically via WebSocket, wrapping Aider’s functionality for use by editor plugins and services. It provides two server implementations: a standard MCP protocol server (recommended) and a custom WebSocket wrapper. It is for developers who want to send natural language commands to Aider from any MCP-compatible client, like Claude Desktop or custom apps.

How to use Aider MCP WebSocket Server?

Install dependencies with npm install, copy .env.example to .env and add your OpenAI API key. Start the recommended MCP server with npm run mcp, then connect via WebSocket using JSON-RPC 2.0. The server exposes tools such as aider_command, aider_add_file, and aider_run_command. Client code examples for WebSocket connection and tool calls are provided in the README.

Key features of Aider MCP WebSocket Server

  • Full MCP protocol support with standard JSON-RPC 2.0 methods
  • Multi-tenant isolation: one Aider child process per client
  • Automatic completion detection (waits for Aider to finish)
  • Isolated workspace directories per session
  • Real-time bidirectional WebSocket communication
  • Environment variable and CLI argument configuration

Use cases of Aider MCP WebSocket Server

  • Send natural language commands to create or edit code files
  • Add specific files to Aider’s context before executing commands
  • Run shell commands through Aider as part of a development workflow
  • Build editor plugins or services that programmatically control Aider
  • Integrate Aider into CI/CD pipelines or automated code review systems

常见问题

1

What prerequisites are needed?

Node.js 18+, Aider installed and available in PATH (`pip install aider-chat`), and an OpenAI API key.

2

How does the server handle multiple clients?

Each client gets an isolated workspace directory and a separate Aider process, ensuring session separation.

3

Is authentication supported?

The custom WebSocket wrapper supports token-based authentication via the `VALID_TOKENS` environment variable (empty means no auth). The MCP server does not mention authentication.

4

Where are created files stored?

Files are saved in directories under `workspaces/`, e.g., `workspaces/mcp-*/`. You can check them with `ls -la workspaces/`.

5

What if the server returns too quickly or gives incomplete responses?

The MCP server includes smart completion detection that waits for Aider to finish (using a 3-second silence detection), solving the problem of premature responses.

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