Aider MCP Server
by MCP-Mirror
The Aider MCP Server allows Claude Code to offload AI coding tasks to Aider, enhancing development efficiency. It enables cost reduction and greater control over the coding model.
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What is Aider MCP Server?
The Aider MCP Server is an experimental server that enables Claude Code to delegate AI coding tasks to Aider, an open-source AI coding assistant. It acts as a Model Context Protocol (MCP) server, facilitating communication between Claude Code and Aider.
How to use Aider MCP Server?
To use the server, clone the repository, install dependencies using uv sync, configure API keys in the .env file, and set up the .mcp.json file with the correct paths and model configurations. Then, add the MCP server to Claude Code using the provided commands with the desired model.
Key features of Aider MCP Server
Offloads AI coding tasks to Aider
Reduces costs associated with AI coding
Provides control over the coding model used
Enables orchestration of Claude Code for code review and revision
Use cases of Aider MCP Server
Automating code refactoring
Generating new code snippets based on natural language prompts
Integrating Aider's capabilities into Claude Code workflows
Experimenting with different AI models for coding tasks
FAQ from Aider MCP Server
What is an MCP server?
What is an MCP server?
An MCP (Model Context Protocol) server facilitates communication between different AI models and tools, allowing them to work together.
What is Aider?
What is Aider?
Aider is an open-source AI coding assistant that uses large language models to help developers write and modify code.
How do I configure the API keys?
How do I configure the API keys?
You need to set the appropriate API keys (e.g., GEMINI_API_KEY, OPENAI_API_KEY, ANTHROPIC_API_KEY) in the .env file.
Which AI models are supported?
Which AI models are supported?
The server supports various AI models, including Gemini, OpenAI, and Anthropic models. Refer to the README for specific model names and configuration.
How do I test the server?
How do I test the server?
You can run the provided pytest commands to test the server's functionality, including listing models and performing AI coding tasks. Make sure to configure the API keys before running the tests.