Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Model Context Protocol (MCP) server to execute aider-specific code editing operations
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"aider-executor": {
"command": "npx",
"args": [
"-y",
"mcp-aider-executor"
]
}
}
}Run this in your terminal
claude mcp add aider-executor -- npx -y mcp-aider-executorPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"aider-executor": {
"command": "npx",
"args": [
"-y",
"mcp-aider-executor"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"aider-executor": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-aider-executor"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account RailKill, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 6 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, dotnet-mcp
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
MCP server for .NET symbols, XAML, source generators, and restricted workspace edit
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
{
"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" } } } }
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.
You can add these arguments in the npx command.
-h, --help Display this message
--model Default LLM main model override (i.e. always use this model no matter what) --edit-format Main model edit format override, regardless of config or LLM inference --architect Always run in architect mode (--no-architect for never) --editor-model Default secondary editor model override for architect mode --editor-edit-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 Only allow operations within the glob path
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 background
aiderprocess 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 because
aiderrequires 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.