stdout-mcp-server
Provides support for capturing stdout logs from applications running on Unix/Linux systems through a named pipe at /tmp/stdout_pipe.
Enables monitoring of application output on macOS systems through a named pipe at /tmp/stdout_pipe, allowing real-time log capture and analysis.
Serves as a runtime requirement for the server with Node.js v18 or newer needed to run the MCP server.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@stdout-mcp-serverget the last 20 logs containing 'error' from my application"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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_pipeon Unix/MacOS or\\.\pipe\stdout_pipeon 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_pipeThe 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
Related MCP server: MCP OpenAPI Server
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 ServersClick on "Add new MCP Server"
Update your MCP settings file with the following configuration:
name: stdout-mcp-server
type: command
command: npx stdout-mcp-serverOption 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_pipeMonitoring 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 millisecondsFeatures
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_pipeUnix/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
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