mcp-aider-executor
Enables running aider as a detached background process with git and file tools, allowing LLMs to start code editing processes and check progress asynchronously for agentic swarm behavior.
README
Project Information
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.
Quick Start
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.
{
"mcpServers": {
"mcp-aider-executor": {
"command": "npx",
"args": [
"-y",
"mcp-aider-executor",
"--whitelist",
"/home/user/my-project/**",
"--whitelist",
"/local/my-application/**"
],
"env": {
"AIDER_MODEL": "openai/gemma-4-E4B-it-IQ4_XS",
"OPENAI_API_BASE": "http://127.0.0.1:1337/v1",
"OPENAI_API_KEY": "your-key-here"
}
}
}
}
Prompting
You can directly tell your LLM to use Aider by providing them with a directory to work in. For example:
Use Aider to create a simple Python hello world console application in "/home/my-project"
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.
Options
You can add these arguments in the npx command.
-h, --help Display this message
--model <model> Default LLM main model override (i.e. always use this model no matter what)
--edit-format <format> Main model edit format override, regardless of config or LLM inference
--architect Always run in architect mode (--no-architect for never)
--editor-model <model> Default secondary editor model override for architect mode
--editor-edit-format <format> Editor model's edit format override
--no-add-message-notes Disables the adding of aider-specific notes to message prompts
--no-register-git-tools Disables registration of all git tools for this server
--no-allow-git-edits Disables only the git tools which modify the repo history
--no-register-file-tools Disables registration of wide file access tools for this server
--whitelist <path> Only allow operations within the glob path
Environment Prerequisites
The environment running the MCP server must have the following tools installed and available as executable commands in the shell:
- node
- aider
- git
[!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.
Available MCP Tools
These are the list of MCP tools available for your LLM to call.
aider_check_git_log: Checks recent commits.aider_check_git_status: Callsgit status --shortto 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: Startsaideras 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.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。
mcp-server-qdrant
这个仓库展示了如何为向量搜索引擎 Qdrant 创建一个 MCP (Managed Control Plane) 服务器的示例。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。