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Aider MCP Server

@danielscholl

Repository

Basic information

Category

Other

Transports

stdio

Author

danielscholl

About Aider MCP Server

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

#aider#mcp#coding-agent

Aider MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "aider-mcp-server-danielscholl": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Aider MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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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