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MCP Sidecar

by lsequeiraaversion 0.3.2i★ –iRuns on your computer
Registry nameio.github.lsequeiraa/mcp-sidecar

Install

Overview

Description from the maker (original English)

Cross-platform MCP server for managing long-lived background processes from any MCP client

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: SIDECAR_MAX_PROCESSES, SIDECAR_BUFFER_SIZE, SIDECAR_KILL_TIMEOUT, SIDECAR_CLEANUP_AFTER, SIDECAR_MAX_OUTPUT_SIZE, SIDECAR_ALLOWED_EXECUTABLES, SIDECAR_BLOCKED_PATTERNS, SIDECAR_AUDIT_LOG

You need

  • npmNode.js installed (for the npx command)

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": {
    "sidecar": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-sidecar"
      ],
      "env": {
        "SIDECAR_MAX_PROCESSES": "your-value",
        "SIDECAR_BUFFER_SIZE": "your-value",
        "SIDECAR_KILL_TIMEOUT": "your-value",
        "SIDECAR_CLEANUP_AFTER": "your-value",
        "SIDECAR_MAX_OUTPUT_SIZE": "your-value",
        "SIDECAR_ALLOWED_EXECUTABLES": "your-value",
        "SIDECAR_BLOCKED_PATTERNS": "your-value",
        "SIDECAR_AUDIT_LOG": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add sidecar --env SIDECAR_MAX_PROCESSES=your-value --env SIDECAR_BUFFER_SIZE=your-value --env SIDECAR_KILL_TIMEOUT=your-value --env SIDECAR_CLEANUP_AFTER=your-value --env SIDECAR_MAX_OUTPUT_SIZE=your-value --env SIDECAR_ALLOWED_EXECUTABLES=your-value --env SIDECAR_BLOCKED_PATTERNS=your-value --env SIDECAR_AUDIT_LOG=your-value -- npx -y mcp-sidecar

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "sidecar": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-sidecar"
      ],
      "env": {
        "SIDECAR_MAX_PROCESSES": "your-value",
        "SIDECAR_BUFFER_SIZE": "your-value",
        "SIDECAR_KILL_TIMEOUT": "your-value",
        "SIDECAR_CLEANUP_AFTER": "your-value",
        "SIDECAR_MAX_OUTPUT_SIZE": "your-value",
        "SIDECAR_ALLOWED_EXECUTABLES": "your-value",
        "SIDECAR_BLOCKED_PATTERNS": "your-value",
        "SIDECAR_AUDIT_LOG": "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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "sidecar": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-sidecar"
      ],
      "env": {
        "SIDECAR_MAX_PROCESSES": "your-value",
        "SIDECAR_BUFFER_SIZE": "your-value",
        "SIDECAR_KILL_TIMEOUT": "your-value",
        "SIDECAR_CLEANUP_AFTER": "your-value",
        "SIDECAR_MAX_OUTPUT_SIZE": "your-value",
        "SIDECAR_ALLOWED_EXECUTABLES": "your-value",
        "SIDECAR_BLOCKED_PATTERNS": "your-value",
        "SIDECAR_AUDIT_LOG": "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.

Values you fill in

  • SIDECAR_MAX_PROCESSES env
    Maximum number of concurrent managed processes (default: 10)
  • SIDECAR_BUFFER_SIZE env
    Output buffer size per stream in bytes (default: 1048576)
  • SIDECAR_KILL_TIMEOUT env
    Milliseconds to wait between graceful and forced termination (default: 5000)
  • SIDECAR_CLEANUP_AFTER env
    Seconds before exited processes are auto-removed. 0 disables cleanup (default: 1800)
  • SIDECAR_MAX_OUTPUT_SIZE env
    Global cap on bytes returned by the output tool. 0 means unlimited (default: 0)
  • SIDECAR_ALLOWED_EXECUTABLES env
    Comma-separated allowlist of executable names. When set, enables security mode with direct exec (no shell). Unset means security disabled.
  • SIDECAR_BLOCKED_PATTERNS env
    Comma-separated regex patterns to reject in commands. Only applies when security is enabled.
  • SIDECAR_AUDIT_LOG env
    Audit log destination. 'true' writes to cwd, 'temp' writes to OS temp dir, or a directory path. Unset disables audit logging.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account lsequeiraa, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32545 servers in this category
  • Published to the registry more recently than 11% of the other 32545 servers in this category
  • Basic checks equal to or better than 100% of the other 32545 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MCP Sidecar safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.2) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Python MCP

Alternatives

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

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Remote Desktop Commander

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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Local-only Python MCP server for the Files.com API.

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README from the maker

Open the README

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.

mcp-sidecar

A lightweight, cross-platform MCP server for managing background processes. Built in Go for single-binary distribution with zero runtime dependencies.

Why?

AI coding agents (Claude Code, Gemini CLI, Cursor, etc.) lack the ability to run long-lived processes while continuing to interact with them. Common workflows affected:

  • Start an API server, wait for it to be ready, then run HTTP requests against it
  • Run a build in watch mode while editing code
  • Start a database, seed it, run tests, tear it down

mcp-sidecar solves this by exposing process lifecycle management as MCP tools over stdio transport.

Features

  • Cross-platform -- Windows, Linux, macOS from a single codebase
  • Zero dependencies -- Single Go binary, no runtime required
  • Minimal surface -- 6 tools, no unnecessary complexity
  • Reliable cleanup -- All child processes are terminated when the server exits; exited processes are auto-removed after a configurable TTL
  • Output control -- Per-request maxBytes and global SIDECAR_MAX_OUTPUT_SIZE to cap output returned to the LLM
  • Command security -- Optional executable allowlist, blocked patterns, and audit logging

Installation

Quick Setup (any agent)

The fastest way to install mcp-sidecar into any supported coding agent:

# Interactive -- detects installed agents and lets you pick

npx add-mcp mcp-sidecar

Install to a specific agent

npx add-mcp mcp-sidecar -a claude-code npx add-mcp mcp-sidecar -a cursor npx add-mcp mcp-sidecar -a vscode

Install to all detected agents

npx add-mcp mcp-sidecar --all

Supported agents: Claude Code, Codex, Cursor, VS Code, Gemini CLI, OpenCode, Zed, Goose, Cline, and more. See add-mcp for the full list.

Manual Configuration

Claude Code:

claude mcp add sidecar -- npx -y mcp-sidecar

opencode (~/.config/opencode/opencode.json):

{

"mcp": { "sidecar": { "type": "local", "command": ["npx", "-y", "mcp-sidecar"], "enabled": true } } }

Generic (mcp.json):

{

"mcpServers": { "sidecar": { "command": "npx", "args": ["-y", "mcp-sidecar"] } } }

From Source
go install github.com/lsequeiraa/mcp-sidecar@latest

Pre-built binaries are also available on GitHub Releases for windows/amd64, linux/amd64, darwin/arm64, and darwin/amd64.

Tools

ToolDescriptionParametersReturns
startSpawn a background processcommand, name?, cwd?, env?{ id, name, pid }
stopTerminate a process (graceful, then force)id{ id, exitCode, uptime }
listList all managed processes--[{ id, name, pid, state, uptime }]
outputGet buffered stdout/stderrid, tail?, maxBytes?{ stdout, stderr, uptime }
sendWrite to a process's stdinid, input{ ok }
statusGet detailed state of one processid{ id, name, pid, state, exitCode, uptime, outputSize }

The uptime field reflects actual runtime: for running processes it's the time since start; for exited processes it's the time the process was alive (not the time since start).

The output tool's maxBytes parameter caps the total bytes of stdout+stderr combined. When both tail and maxBytes are provided, tail selects lines first, then maxBytes caps the byte size of the result. When the output exceeds the limit, the most recent content is kept and stderr is prioritized. Truncation preserves line boundaries. When output is truncated, the response includes "truncated": true and "totalBytes" indicating the original size.

Process States
StateMeaning
runningProcess is alive
exitedProcess terminated normally
failedProcess terminated with non-zero exit code
killedProcess was stopped via the stop tool
Example workflow

A typical session where an agent starts an API server, waits for it to be ready, tests it, and tears it down:

1. start  { command: "dotnet run --project MyApi", name: "api" }

→ { id: "sc-a1b2c3", name: "api", pid: 12345 }

  1. output { id: "sc-a1b2c3", tail: 5 } → { stdout: "Now listening on: http://localhost:5000", stderr: "", uptime: "3s" }
  1. (agent runs curl http://localhost:5000/health using its own shell)
  1. output { id: "sc-a1b2c3", tail: 20 } → { stdout: "...request logs...", stderr: "", uptime: "15s" }
  1. stop { id: "sc-a1b2c3" } → { id: "sc-a1b2c3", exitCode: -1, uptime: "18s" }

The agent uses its native shell for short-lived commands (curl, build tools, etc.) and mcp-sidecar for processes that need to stay alive across multiple tool calls.

Configuration

All configuration is via environment variables (all optional):

VariableDefaultDescription
SIDECAR_MAX_PROCESSES10Maximum concurrent processes
SIDECAR_BUFFER_SIZE1048576 (1MB)Output buffer size per process in bytes
SIDECAR_KILL_TIMEOUT5000Milliseconds to wait between SIGTERM and SIGKILL
SIDECAR_CLEANUP_AFTER1800 (30 min)Seconds before exited processes are auto-removed. 0 = disabled
SIDECAR_MAX_OUTPUT_SIZE0 (unlimited)Global cap on bytes returned by the output tool. 0 = no limit
SIDECAR_ALLOWED_EXECUTABLES--Comma-separated allowlist of executables (enables secure mode)
SIDECAR_BLOCKED_PATTERNS--Comma-separated regex patterns to reject commands
SIDECAR_AUDIT_LOG--Audit log directory, or true (cwd) / temp (OS temp dir)

Auto-cleanup note: When SIDECAR_CLEANUP_AFTER is enabled (the default), exited processes are removed from the manager after the TTL expires. Once removed, calls to output, status, or stop for that process ID will return "not found". Retrieve any output you need within the TTL window (30 minutes by default).

Security

When SIDECAR_ALLOWED_EXECUTABLES is set, mcp-sidecar switches from shell mode to secure mode:

Shell mode (default)Secure mode
ExecutionVia sh -c / cmd /CDirect exec (no shell)
AllowlistNoneOnly listed executables can run
MetacharactersAllowed (shell interprets them)Rejected (`\, &, ;, >, <, $, , (, ))
Blocked patternsNoneRegex patterns matched against full command
Audit loggingNoneOptional JSONL log of all start/stop/blocked events

Metacharacters inside quotes are allowed -- grep "error|warning" file.txt works because the | is inside double quotes and won't be interpreted by a shell.

Backslash (\) is intentionally not treated as a metacharacter so Windows paths like C:\Users\me\app.exe work without escaping.

Configuration examples

Claude Desktop / Cursor (mcp.json):

{

"mcpServers": { "sidecar": { "command": "npx", "args": ["-y", "mcp-sidecar"], "env": { "SIDECAR_ALLOWED_EXECUTABLES": "dotnet,npm,node,git,python", "SIDECAR_BLOCKED_PATTERNS": "rm\\s+-rf,--force,--no-verify", "SIDECAR_AUDIT_LOG": "./logs" } } } }

Claude Code:

claude mcp add sidecar \

-e SIDECAR_ALLOWED_EXECUTABLES=dotnet,npm,node,git,python \ -e SIDECAR_BLOCKED_PATTERNS="rm\\s+-rf,--force,--no-verify" \ -e SIDECAR_AUDIT_LOG=true \ -- npx -y mcp-sidecar

Audit log format

The audit log is always written to a file named sidecar-audit.jsonl inside the configured directory. The SIDECAR_AUDIT_LOG variable controls where:

ValueLog file location
true./sidecar-audit.jsonl (current working directory)
temp /sidecar-audit.jsonl
./logs./logs/sidecar-audit.jsonl (directory auto-created)

Each line is a JSON object with one of three event types:

{"ts":"2025-03-12T10:00:00Z","event":"start","id":"abc123","command":"dotnet run","cwd":"/app"}

{"ts":"2025-03-12T10:00:05Z","event":"stop","id":"abc123","exit_code":0,"duration":"5s"} {"ts":"2025-03-12T10:00:06Z","event":"blocked","command":"rm -rf /","reason":"executable \"rm\" is not in allowed list"}

Executable matching

The allowlist supports three matching modes:

Allowlist entryMatches
dotnetdotnet anywhere (basename match)
./build.shOnly ./build.sh (exact match)
/usr/bin/python3Only /usr/bin/python3, or any python3 resolved via PATH

Distribution

ChannelUsage
npmnpx -y mcp-sidecar (platform binary via @mcp-sidecar/* optional packages)
GitHub ReleasesPre-built binaries attached to each release
MCP Registryio.github.lsequeiraa/mcp-sidecar

License

MIT

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