io.github.mrorigo/bash-command-mcp

效率与工作流

by mrorigo

功能完善的 bash command MCP 服务器,可运行、监控并管理 shell 命令执行流程。

什么是 io.github.mrorigo/bash-command-mcp

功能完善的 bash command MCP 服务器,可运行、监控并管理 shell 命令执行流程。

README

bash-command-mcp

A highly sophisticated Bash MCP server for safe, structured command execution with first-class background job orchestration.

Important Security Warning

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:

bash
bun install

To run over stdio:

bash
bun run index.ts

To run over Streamable HTTP:

bash
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):

bash
npx -y bash-command-mcp

Why This Server

  • High-fidelity shell execution with clear exit-code semantics.
  • Advanced background process lifecycle controls (run_background, wait_background, kill_background).
  • Built-in observability via per-process stdout/stderr log files.
  • OpenTelemetry traces and metrics for production visibility.
  • Agent-friendly ergonomics with cwd and env overrides for precise execution context.

Tool Behavior

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).

OpenTelemetry

This server includes built-in OpenTelemetry instrumentation for traces and metrics.

  • OpenTelemetry packages are installed with the server package.
  • Telemetry initializes unless OTEL_ENABLED=false.
  • If OTEL_EXPORTER_OTLP_ENDPOINT is set, traces/metrics are exported via OTLP HTTP.
  • If no OTLP endpoint is configured, console exporters are used.

Instrumented operations:

  • Tool call spans for run, run_background, list_background, tail_background, wait_background, and kill_background.
  • Background lifecycle spans/counters (started, ended).
  • Metrics for tool calls, failures, timeouts, and duration histograms.

Common env vars:

  • OTEL_ENABLED=true|false
  • OTEL_SERVICE_NAME=bash-command-mcp
  • OTEL_SERVICE_VERSION=1.0.0
  • OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318
  • OTEL_METRIC_EXPORT_INTERVAL_MS=10000
  • BASH_COMMAND_MCP_LOG_DIR=/path/to/log-dir

Example (OTLP Collector on localhost):

bash
OTEL_ENABLED=true \
OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318 \
OTEL_SERVICE_NAME=bash-command-mcp \
npx -y bash-command-mcp

Transports

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|stdio
  • BASH_COMMAND_MCP_HOST=127.0.0.1
  • BASH_COMMAND_MCP_PORT=3000
  • BASH_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.

Docker

Build the image:

bash
docker build -t bash-command-mcp .

Run with a local folder mounted at /workspace:

bash
docker run --rm -i -v "$(pwd):/workspace" bash-command-mcp

Run over Streamable HTTP:

bash
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:

  • Left side ($(pwd)) is a folder on your host machine.
  • Right side (/workspace) is the path inside the container.
  • Commands run by this MCP server should target files under /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:

  • If your host has ./project/file.txt and you run the container from ./project, the same file is available in the container at /workspace/file.txt.

常见问题

io.github.mrorigo/bash-command-mcp 是什么?

功能完善的 bash command MCP 服务器,可运行、监控并管理 shell 命令执行流程。

相关 Skills

技能工坊

by anthropics

Universal
热门

覆盖 Skill 从创建到迭代优化全流程:起草能力、补测试提示、跑评测与基准方差分析,并持续改写内容和描述,提升效果与触发准确率。

技能工坊把技能从创建、迭代到评测串成闭环,方差分析加描述优化,特别适合把触发准确率打磨得更稳。

效率与工作流
未扫描150.9k

PPT处理

by anthropics

Universal
热门

处理 .pptx 全流程:创建演示文稿、提取和解析幻灯片内容、批量修改现有文件,支持模板套用、合并拆分、备注评论与版式调整。

涉及PPTX的创建、解析、修改到合并拆分都能一站搞定,连备注、模板和评论也能处理,做演示文稿特别省心。

效率与工作流
未扫描150.9k

PDF处理

by anthropics

Universal
热门

遇到 PDF 读写、文本表格提取、合并拆分、旋转加水印、表单填写或加解密时直接用它,也能提取图片、生成新 PDF,并把扫描件通过 OCR 变成可搜索文档。

PDF杂活别再来回切工具了,文本表格提取、合并拆分到OCR识别一次搞定,连扫描件也能变可搜索。

效率与工作流
未扫描150.9k

相关 MCP Server

文件系统

编辑精选

by Anthropic

热门

Filesystem 是 MCP 官方参考服务器,让 LLM 安全读写本地文件系统。

这个服务器解决了让 Claude 直接操作本地文件的痛点,比如自动整理文档或生成代码文件。适合需要自动化文件处理的开发者,但注意它只是参考实现,生产环境需自行加固安全。

效率与工作流
87.2k

by wonderwhy-er

热门

Desktop Commander 是让 AI 直接执行终端命令、管理文件和进程的 MCP 服务器。

这工具解决了 AI 无法直接操作本地环境的痛点,适合需要自动化脚本调试或文件批量处理的开发者。它能让你用自然语言指挥终端,但权限控制需谨慎,毕竟让 AI 执行 rm -rf 可不是闹着玩的。

效率与工作流
6.2k

by stickerdaniel

热门

LinkedIn Profile and Job Scraper 是让 Claude 直接抓取 LinkedIn 个人资料、公司信息和职位详情的工具。

这个服务器解决了招聘和商业调研中手动复制粘贴 LinkedIn 数据的痛点,适合猎头或市场分析师快速获取候选人背景和公司动态。不过,LinkedIn 反爬机制频繁更新,数据稳定性需要持续维护,使用时建议搭配人工验证。

效率与工作流
2.4k

评论