Model Context Protocol (MCP) server to execute aider-specific code editing operations
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
💡 Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
stdio MCP server to run aider as a detached background process
with basic git tools and status checks. This allows LLMs to start code editing processes
freely and check the aider chat history for progress at a later time to allow for agentic swarm behavior.
An .aider.mcp.details.json file is created in the same directory with the process ID and starting datetime.
The MCP server provides tools for LLM agents to check if the process is still running,
and to check the .aider.chat.history.md for updates.
The original message prompt send via the MCP server to aider is also recorded in .aider.mcp.prompt.txt.
You can run the server directly using npx, passing in environment variables for the endpoint URL and API keys.
Provide --whitelist arguments with a permitted glob path otherwise all operations will be denied by default.
You can directly tell your LLM to use Aider by providing them with a directory to work in. For example:
For extra Aider options, you should set it properly using environment variables (the env in MCP settings .json),
or ask your LLM to create the Aider YAML configuration file for you in the project directory. By default, the
server comes with some basic git and file tools to allow the LLM to look around. These tools can be disabled via
the options below if you'd like to use a separate MCP server to handle more advanced functions.
[!CAUTION]
For security purposes, the MCP server does not have the functionality to write API keys into the configuration YAML. Use
envinstead to provide keys likeOPENAI_API_KEY. Don't tell your LLM about it.
You can add these arguments in the npx command.
The environment running the MCP server must have the following tools installed and available as executable commands in the shell:
[!WARNING]
You should set the number of parallel requests to 2 if you are using the same local endpoint for
aider, otherwise your chat session and the backgroundaiderprocess will be stuck waiting for each other.You should also set the
OPENAI_API_KEYenvironment variable to a non-empty value if you are using a local OpenAI-compatible endpoint becauseaiderrequires it even if you don't use an API key.You still need the
openai/prefix when specifying model names for local endpoints inaider.
These are the list of MCP tools available for your LLM to call.
aider_check_git_log: Checks recent commits.aider_check_git_status: Calls git status --short to check the state of the given directory.aider_check_last_prompt: Returns the original prompt message of the last Aider run.aider_check_progress: Checks the Aider chat history and background process status.aider_checkout_git_branch: Switches git branches, creating a new one if it doesn't exist.aider_create_git_stash: Stashes everything to clear the directory for Aider (git stash -u).aider_git_revert: Reverts changes from a git commit by its hash.aider_list_files: Lists all files in a given directory.aider_list_git_branches: Returns a list of git branches in the given directory.aider_mcp_check_whitelist: Checks what glob paths are whitelisted for this Aider MCP server.aider_message_prompt: Starts aider as a background process with a given message prompt.aider_read_config_yaml: Returns the full content of the .aider.conf.yml in the directory.aider_read_file_contents: Reads the contents of a given filepath.aider_setup_config_yaml: Creates the .aider.conf.yml file in the directory.Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.
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