Aider MCP Server

Example Use Cases

• 1

  Offload code editing and implementation tasks to an external AI assistant (Aider) while keeping changes scoped to specified project files.

• 2

  Discover and select available LLM models supported by Aider (e.g., searching for 'gemini' models) before running coding workflows.

• 3

  An orchestrative layer to run, review, and refine automated code changes across a local project using configurable provider API keys.

Description

This open-source MCP server integrates Aider with Claude Code to perform AI-driven coding tasks (apply edits, create files) and to enumerate supported models. It routes prompts and file paths to Aider, returns diffs and success status, and can be configured to use Gemini, OpenAI, Anthropic and other provider models via API keys. The server is intended to reduce costs, give teams control over the models used for coding, and enable an orchestrative review/refinement loop for code changes.