Aider MCP Server

Aider coding tasks offloading for Claude Code to manage complex development workflows.

Data last scanned last week · Reviewed last month

Overview

Aider MCP Server allows Claude Code to delegate specific coding tasks directly to the Aider assistant. This integration aims to improve development efficiency by enabling an orchestrative approach where coding responsibilities are offloaded, allowing for better control over the underlying coding model and structured revision cycles. To implement this, users configure their API keys and specify project directories within an MCP configuration file. The server leverages Python and the uv package manager to execute tasks, with documentation provided for specific model integrations like Gemini 2.5 Pro and Quasar Alpha.

Our verdict

With a security score of 15/100, this project carries a high risk level. The lack of an assigned license creates legal ambiguity regarding its usage, and the repository has not been updated in over 435 days. Given the absence of official maintenance and the single-contributor bus-factor, potential users should treat this as experimental software and exercise caution before deploying it in any environment requiring long-term stability or verified security.

Zero direct dependencies reduce potential supply-chain vulnerabilities.
Includes provided documentation for setup and configuration.
Integrated testing suite available via pytest.

High risk due to no detected license.
Abandoned status with no commits in over 435 days.
Single-contributor project poses significant maintenance risks.

Tools

Tool	Description	Risk
aider_ai_code	This tool allows you to run Aider to perform AI coding tasks based on a provided prompt and specified files.	high
list_models	This tool lists available AI models supported by Aider that match a given substring.	low

Compatibility

Client	Local	Docker	Remote	Read-only
Claude Desktop
Cursor
VS Code
Windsurf
ChatGPT

Frequently asked questions

›What prerequisites are needed to run this server?

You must have the project cloned locally, run 'uv sync' to install dependencies, and configure your relevant API keys (such as OpenAI, Anthropic, or Gemini) in a .env file.

›How do I configure the server for my project?

You must set the '--directory' argument to the path of the aider-mcp-server project and the '--current-working-dir' argument to the path of your own project's root.

›Can I restrict which files Aider is allowed to change?

Yes, when using the 'aider_ai_code' tool, you explicitly define 'relative_editable_files' to grant modification access and 'relative_readonly_files' for files used only as context.

›How can I check which models are available for Aider to use?

You can use the 'list_models' tool, which requires a 'substring' parameter to search through the names of available supported models.

›Does the server require specific API keys for testing?

Yes, running the included AI coding tests requires a valid API key for the Gemini model to be set in your .env file.