developer-tools

StdoutMCP

by amitdeshmukh

StdoutMCP is a lightweight server for capturing and managing stdout logs from multiple processes, with powerful querying

Lightweight server that captures and manages stdout logs from multiple processes through a named pipe system, maintaining a 100-entry log history and providing robust querying and filtering capabilities for debugging and real-time monitoring.

github stars

7

Cross-platform named pipe systemMaintains 100-entry log historyZero setup - works with npx

best for

  • / Debugging applications in Cursor IDE
  • / Real-time monitoring of multiple processes
  • / Centralized log collection and analysis

capabilities

  • / Capture stdout logs from multiple processes via named pipes
  • / Query and filter log entries from 100-entry history
  • / Monitor application output in real-time
  • / Analyze logs through MCP interface
  • / Redirect application logs to centralized pipe

what it does

Captures stdout logs from multiple processes through a named pipe and provides querying/filtering tools for debugging and monitoring.

about

StdoutMCP is a community-built MCP server published by amitdeshmukh that provides AI assistants with tools and capabilities via the Model Context Protocol. StdoutMCP is a lightweight server for capturing and managing stdout logs from multiple processes, with powerful querying It is categorized under developer tools.

how to install

You can install StdoutMCP in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

StdoutMCP is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

stdout-mcp-server

A Model Context Protocol (MCP) server that captures and manages stdout logs through a named pipe system. This server is particularly useful for:

  • Capturing logs from multiple processes or applications and making them available for debugging in Cursor IDE.
  • Monitoring application output in real-time and providing a MCP interface to query, filter, and analyze logs

How It Works

  1. The server creates a named pipe at a specific location (/tmp/stdout_pipe on Unix/MacOS or \.\pipe\stdout_pipe on Windows)

  2. Any application can write logs to this pipe using standard output redirection. For example:

your_application | tee /tmp/stdout_pipe # or
your_application > /tmp/stdout_pipe
  1. The server monitors the pipe, captures all incoming logs, and maintains a history of the last 100 entries

  2. Through MCP tools, you can query, filter, and analyze these logs

System Requirements

Before installing, please ensure you have:

  • Node.js v18 or newer

Installation Options

Option 1: Installation in Cursor

  1. Open Cursor and navigate to Cursor > Settings > MCP Servers
  2. Click on "Add new MCP Server"
  3. Update your MCP settings file with the following configuration:
name: stdout-mcp-server
type: command
command: npx stdout-mcp-server

Option 2: Installation in other MCP clients

Installation in other MCP clients

For macOS/Linux:

{
  "mcpServers": {
    "stdio-mcp-server": {
      "command": "npx",
      "args": [
        "stdio-mcp-server"
      ]
    }
  }
}

For Windows:

{
  "mcpServers": {
    "mcp-installer": {
      "command": "cmd.exe",
      "args": ["/c", "npx", "stdio-mcp-server"]
    }
  }
}

Usage Examples

Redirecting Application Logs

To send your application's output to the pipe:

# Unix/MacOS
your_application > /tmp/stdout_pipe

# Windows (PowerShell)
your_application > \.\pipe\stdout_pipe

Monitoring Multiple Applications

You can redirect logs from multiple sources:

# Application 1
app1 > /tmp/stdout_pipe &

# Application 2
app2 > /tmp/stdout_pipe &

Querying Logs

Your AI will use the get-logs tool in your MCP client to retrieve and filter logs:

// Get last 50 logs
get-logs()

// Get last 100 logs containing "error"
get-logs({ lines: 100, filter: "error" })

// Get logs since a specific timestamp
get-logs({ since: 1648675200000 }) // Unix timestamp in milliseconds

Features

  • Named pipe creation and monitoring
  • Real-time log capture and storage
  • Log filtering and retrieval through MCP tools
  • Configurable log history (default: 100 entries)
  • Cross-platform support (Windows and Unix-based systems)

Named Pipe Locations

  • Windows: \.\pipe\stdout_pipe
  • Unix/MacOS: /tmp/stdout_pipe

Available Tools

get-logs

Retrieve logs from the named pipe with optional filtering:

Parameters:

  • lines (optional, default: 50): Number of log lines to return
  • filter (optional): Text to filter logs by
  • since (optional): Timestamp to get logs after

Example responses:

// Response format
{
  content: [{
    type: "text",
    text: "[2024-03-20T10:15:30.123Z] Application started
[2024-03-20T10:15:31.456Z] Connected to database"
  }]
}

License

MIT License

FAQ

What is the StdoutMCP MCP server?
StdoutMCP is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for StdoutMCP?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    StdoutMCP is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated StdoutMCP against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: StdoutMCP is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    StdoutMCP reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend StdoutMCP for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: StdoutMCP surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    StdoutMCP has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, StdoutMCP benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired StdoutMCP into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    StdoutMCP is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.