Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Sophisticated bash command MCP server that runs and manages shell execution.
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.
OTEL_ENABLED, OTEL_SERVICE_NAME, OTEL_SERVICE_VERSION, OTEL_EXPORTER_OTLP_ENDPOINT, OTEL_METRIC_EXPORT_INTERVAL_MS, BASH_COMMAND_MCP_LOG_DIRYou 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": {
"bash-command": {
"command": "npx",
"args": [
"-y",
"bash-command-mcp"
],
"env": {
"OTEL_ENABLED": "your-value",
"OTEL_SERVICE_NAME": "your-value",
"OTEL_SERVICE_VERSION": "your-value",
"OTEL_EXPORTER_OTLP_ENDPOINT": "your-value",
"OTEL_METRIC_EXPORT_INTERVAL_MS": "your-value",
"BASH_COMMAND_MCP_LOG_DIR": "your-value"
}
}
}
}Run this in your terminal
claude mcp add bash-command --env OTEL_ENABLED=your-value --env OTEL_SERVICE_NAME=your-value --env OTEL_SERVICE_VERSION=your-value --env OTEL_EXPORTER_OTLP_ENDPOINT=your-value --env OTEL_METRIC_EXPORT_INTERVAL_MS=your-value --env BASH_COMMAND_MCP_LOG_DIR=your-value -- npx -y bash-command-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"bash-command": {
"command": "npx",
"args": [
"-y",
"bash-command-mcp"
],
"env": {
"OTEL_ENABLED": "your-value",
"OTEL_SERVICE_NAME": "your-value",
"OTEL_SERVICE_VERSION": "your-value",
"OTEL_EXPORTER_OTLP_ENDPOINT": "your-value",
"OTEL_METRIC_EXPORT_INTERVAL_MS": "your-value",
"BASH_COMMAND_MCP_LOG_DIR": "your-value"
}
}
}
}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": {
"bash-command": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"bash-command-mcp"
],
"env": {
"OTEL_ENABLED": "your-value",
"OTEL_SERVICE_NAME": "your-value",
"OTEL_SERVICE_VERSION": "your-value",
"OTEL_EXPORTER_OTLP_ENDPOINT": "your-value",
"OTEL_METRIC_EXPORT_INTERVAL_MS": "your-value",
"BASH_COMMAND_MCP_LOG_DIR": "your-value"
}
}
}
}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.
OTEL_ENABLED envOTEL_SERVICE_NAME envOTEL_SERVICE_VERSION envOTEL_EXPORTER_OTLP_ENDPOINT envOTEL_METRIC_EXPORT_INTERVAL_MS envBASH_COMMAND_MCP_LOG_DIR envThese 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 mrorigo, 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 (1.0.0) reached the registry 9 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, 오늘냥이 (Oneul Nyangi)
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.
Real cat photos, diaries, profiles, age and food reference calculators, and breeds.
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.
A highly sophisticated Bash MCP server for safe, structured command execution with first-class background job orchestration.
This server executes shell commands on the machine where it is running.
If you run bun run index.ts directly on your host, commands run on your host with your user permissions. Use Docker to isolate execution unless you fully trust the MCP client and prompts.
To install dependencies:
bun install
To run over stdio:
bun run index.ts
To run over Streamable HTTP:
BASH_COMMAND_MCP_TRANSPORT=http \
BASH_COMMAND_MCP_HOST=127.0.0.1 \ BASH_COMMAND_MCP_PORT=3000 \ bun run index.ts
To run via npm/npx (published package):
npx -y bash-command-mcp
run_background, wait_background, kill_background).cwd and env overrides for precise execution context.Tools:
run: run command in foreground. Args: command or cmd, timeoutSeconds (default 60, min 1; values above 86400 are capped with a hint), optional cwd, optional env.run_background: start command in background with stdout/stderr written to log files. Args: command or cmd, optional cwd, optional env.list_background: list tracked background processes, including log file paths.kill_background: stop tracked background process by pid.tail_background: show last N lines from background process logs. Args: pid, optional lines (default 200, max 5000).wait_background: wait for background process completion and return final status/output. Args: pid, optional timeoutSeconds (default 60, min 1; values above 86400 are capped with a hint).This server includes built-in OpenTelemetry instrumentation for traces and metrics.
OTEL_ENABLED=false.OTEL_EXPORTER_OTLP_ENDPOINT is set, traces/metrics are exported via OTLP HTTP.Instrumented operations:
run, run_background, list_background, tail_background, wait_background, and kill_background.started, ended).Common env vars:
OTEL_ENABLED=true|falseOTEL_SERVICE_NAME=bash-command-mcpOTEL_SERVICE_VERSION=1.0.0OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318OTEL_METRIC_EXPORT_INTERVAL_MS=10000BASH_COMMAND_MCP_LOG_DIR=/path/to/log-dirExample (OTLP Collector on localhost):
OTEL_ENABLED=true \
OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318 \ OTEL_SERVICE_NAME=bash-command-mcp \ npx -y bash-command-mcp
This server supports two transports:
stdio for local, process-spawned integrations.http for remote or network-accessible MCP clients using Streamable HTTP.Default behavior remains stdio so existing desktop and CLI setups keep working.
Environment variables for HTTP mode:
BASH_COMMAND_MCP_TRANSPORT=http|stdioBASH_COMMAND_MCP_HOST=127.0.0.1BASH_COMMAND_MCP_PORT=3000BASH_COMMAND_MCP_ALLOWED_HOSTS=localhost,127.0.0.1,[::1]HTTP mode uses host-header validation by default when bound to a loopback address. If you bind to 0.0.0.0 or ::, provide an explicit allow-list in BASH_COMMAND_MCP_ALLOWED_HOSTS.
Build the image:
docker build -t bash-command-mcp .
Run with a local folder mounted at /workspace:
docker run --rm -i -v "$(pwd):/workspace" bash-command-mcp
Run over Streamable HTTP:
docker run --rm -p 3000:3000 \
-e BASH_COMMAND_MCP_TRANSPORT=http \ -e BASH_COMMAND_MCP_HOST=0.0.0.0 \ -e BASH_COMMAND_MCP_PORT=3000 \ bash-command-mcp
/workspace mapping explained:
$(pwd)) is a folder on your host machine./workspace) is the path inside the container./workspace; those changes are written back to the mapped host folder.For HTTP mode in Docker, bind to 0.0.0.0 and publish the port with -p. If you expose the container beyond localhost, set BASH_COMMAND_MCP_ALLOWED_HOSTS to the hostnames you want to permit.
Example:
./project/file.txt and you run the container from ./project, the same file is available in the container at /workspace/file.txt.