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Aider MCP Server

@danielscholl

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

danielscholl

关于 Aider MCP Server

An experimental MCP server to use aider as a coding agent.

#aider#mcp#coding-agent

Aider MCP 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-server-danielscholl": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Aider MCP 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 Server?

A Machine Cognition Protocol (MCP) server that provides AI coding capabilities using Aider. It leverages Aider, a powerful AI coding assistant, to offer coding via a standardized API, reducing costs by discretely offloading work to Aider while using model-specific capabilities for more reliable code through multiple focused LLM calls.

How to use Aider MCP Server?

Install by cloning the repository and running uv pip install -e . in a virtual environment. Configure the server via a .env file (setting transport, host, port, and API keys) or CLI options (--editor-model, --architect-model, --cwd). Start in SSE mode with uv run python -m aider_mcp_server, or configure an MCP client to run it automatically via stdio or Docker.

Key features of Aider MCP Server

  • AI code generation for one-shot coding tasks
  • Model selection to query available Aider models
  • Flexible configuration with customizable Aider session settings
  • Multi-transport support via SSE or stdio

Use cases of Aider MCP Server

  • Add a new function or feature to an existing codebase
  • Fix bugs or enhance code with a targeted AI prompt
  • Query available AI models to choose the best option for a task

常见问题

1

What tools does the server expose?

The server exposes `ai_code` for performing coding tasks and `get_models` for listing available Aider models filtered by a substring.

2

What transports are supported?

The server supports both Server-Sent Events (SSE) and stdio transport modes.

3

What are the Python and package manager requirements?

Python 3.10 or higher is required. The recommended package manager is uv, though pip can also be used.

4

What API keys are needed to run the server?

API keys from OpenAI, Anthropic, or Google (Gemini) are required depending on which models you intend to use. Each key is configured via environment variables (`OPENAI_API_KEY`, `ANTHROPIC_API_KEY`, `GEMINI_API_KEY`).

5

How do I configure the server's transport and network settings?

Set the `TRANSPORT` environment variable (default `sse`), and optionally `HOST` (default `0.0.0.0`) and `PORT` (default `8050`) for SSE mode. The editor model can be set via `--editor-model` (default `gemini/gemini-2.5-pro-exp-03-25`).

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