stdout-mcp-server
A Model Context Protocol server that captures and manages stdout logs through named pipes, making application output available for querying and debugging in AI tools like Cursor IDE.
amitdeshmukh
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
-
The server creates a named pipe at a specific location (
/tmp/stdout_pipe
on Unix/MacOS or\\.\pipe\stdout_pipe
on Windows) -
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
-
The server monitors the pipe, captures all incoming logs, and maintains a history of the last 100 entries
-
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
- Open Cursor and navigate to
Cursor > Settings > MCP Servers
- Click on "Add new MCP Server"
- 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 returnfilter
(optional): Text to filter logs bysince
(optional): Timestamp to get logs after
Example responses:
// Response format
{
content: [{
type: "text",
text: "[2024-03-20T10:15:30.123Z] Application started\n[2024-03-20T10:15:31.456Z] Connected to database"
}]
}
License
MIT License
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
MCP Package Docs Server
Facilitates LLMs to efficiently access and fetch structured documentation for packages in Go, Python, and NPM, enhancing software development with multi-language support and performance optimization.
Claude Code MCP
An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.
@kazuph/mcp-taskmanager
Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.
Linear MCP Server
Enables interaction with Linear's API for managing issues, teams, and projects programmatically through the Model Context Protocol.
mermaid-mcp-server
A Model Context Protocol (MCP) server that converts Mermaid diagrams to PNG images.
Jira-Context-MCP
MCP server to provide Jira Tickets information to AI coding agents like Cursor

Linear MCP Server
A Model Context Protocol server that integrates with Linear's issue tracking system, allowing LLMs to create, update, search, and comment on Linear issues through natural language interactions.

Sequential Thinking MCP Server
This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.