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mcp-server-google-cloud-logging

Claro, aquí tienes cómo obtener registros de Logging con `gcloud`: **Opción 1: Usando `gcloud logging read` (Recomendado para consultas sencillas)** Este es el método más directo para obtener registros. ```bash gcloud logging read "QUERY" --format="FORMAT" --limit=LIMIT ``` * **`QUERY`**: Es el filtro de consulta que especifica qué registros quieres. Si no proporcionas una consulta, se devolverán todos los registros (¡lo cual puede ser mucho!). Ejemplos de consultas: * `"resource.type=gke_cluster"`: Registros de clústeres GKE. * `"severity>=ERROR"`: Registros con severidad ERROR o superior. * `"textPayload:error AND logName:my-app"`: Registros que contienen la palabra "error" en el payload y provienen del log "my-app". * `timestamp>"2023-10-26T00:00:00Z" timestamp<"2023-10-27T00:00:00Z"`: Registros entre dos fechas. * Consulta la documentación de Logging para la sintaxis completa de las consultas: [https://cloud.google.com/logging/docs/view/advanced-queries](https://cloud.google.com/logging/docs/view/advanced-queries) * **`FORMAT`**: Especifica el formato de salida. Algunas opciones comunes son: * `text`: Formato legible por humanos (predeterminado). * `json`: Formato JSON. Útil para procesar los registros con otras herramientas. * `yaml`: Formato YAML. * `value(logName, timestamp, severity, textPayload)`: Formato personalizado que muestra solo los campos especificados. * Consulta la documentación de `gcloud topic formats` para más opciones. * **`LIMIT`**: El número máximo de registros a devolver. Si no se especifica, se devuelve un número limitado de registros. Usa `--limit=unlimited` para obtener todos los registros que coincidan con la consulta (¡ten cuidado con esto, puede ser mucho!). **Ejemplos:** * Obtener los últimos 10 registros de error en formato JSON: ```bash gcloud logging read "severity>=ERROR" --format="json" --limit=10 ``` * Obtener todos los registros de un clúster GKE específico en formato de texto: ```bash gcloud logging read "resource.type=gke_cluster AND resource.labels.cluster_name=YOUR_CLUSTER_NAME" --format="text" --limit=unlimited ``` * Obtener los registros que contienen "error" en el payload, mostrando solo el logName, timestamp, severity y textPayload: ```bash gcloud logging read "textPayload:error" --format="value(logName, timestamp, severity, textPayload)" ``` **Opción 2: Usando `gcloud logging tail` (Para monitoreo en tiempo real)** Esta opción muestra los registros a medida que se generan, similar a `tail -f` en Linux. ```bash gcloud logging tail "QUERY" ``` * **`QUERY`**: Igual que en `gcloud logging read`, es el filtro de consulta. Si no se especifica, se muestran todos los registros nuevos. **Ejemplo:** * Monitorear los registros de error en tiempo real: ```bash gcloud logging tail "severity>=ERROR" ``` **Consideraciones importantes:** * **Autenticación:** Asegúrate de que `gcloud` esté autenticado con una cuenta que tenga permisos para leer los registros. Puedes autenticarte con `gcloud auth login`. * **Proyecto:** Asegúrate de que `gcloud` esté configurado para el proyecto correcto. Puedes verificarlo con `gcloud config get-value project` y cambiarlo con `gcloud config set project YOUR_PROJECT_ID`. * **Cuotas:** Ten en cuenta las cuotas de Logging. La lectura excesiva de registros puede generar cargos. * **Escritura a un archivo:** Puedes redirigir la salida de `gcloud logging read` a un archivo: ```bash gcloud logging read "QUERY" --format="json" > logs.json ``` **En resumen:** * Usa `gcloud logging read` para obtener registros históricos y realizar consultas específicas. * Usa `gcloud logging tail` para monitorear los registros en tiempo real. * Asegúrate de usar consultas eficientes para evitar leer demasiados registros. * Considera el formato de salida para facilitar el procesamiento de los registros. Espero que esto te ayude. Si tienes alguna pregunta específica sobre tu caso de uso, házmelo saber y te daré un ejemplo más preciso.

Tickerr — Live AI Tool Status & API Pricing

Real-time status monitoring, uptime tracking, incident history, and API pricing for 42+ AI tools including ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, Perplexity, DeepSeek, and Groq. No API key required. Data updated every 5 minutes from independent monitoring infrastructure.

Telnyx MCP Server

Enables interaction with Telnyx's telephony, messaging, and AI assistant APIs to manage phone numbers, send messages, make calls, and create AI assistants. Includes webhook support for real-time event handling and comprehensive tools for voice, SMS, cloud storage, and embeddings.

bonnard

Open-source agentic schema layer. Define metrics once in YAML, query governed data from any warehouse (Snowflake, BigQuery, Databricks, PostgreSQL, DuckDB) via MCP.

Tududi MCP Server

Connects AI assistants to the Tududi productivity platform to manage tasks, projects, and notes using GTD methodology. It provides a standardized interface for LLMs to read and manipulate data through a suite of over 25 tools and resources.

URL-Based MCP Server

URL MCP es una prueba de concepto de un constructor de servidores MCP sin estado que permite a los usuarios construir servidores MCP sin escribir ni alojar código. Está destinado a la experimentación con protocolos y seguridad, en lugar de para construir integraciones MCP del mundo real.

Advanced Obsidian MCP Server

Empowers AI agents to deeply understand and interact with Obsidian vaults through the Local REST API, enabling advanced features like vault structure discovery, graph analysis, command execution, and batch file operations.

Humanitarian Negotiation MCP Server

Enables humanitarian negotiators to analyze complex situations using proven methodologies like Island of Agreement, Iceberg analysis, and stakeholder mapping. Provides structured frameworks for establishing common ground, understanding deeper motivations, and developing strategic engagement plans in high-stakes humanitarian contexts.

Solvent MCP Server

Enables Claude to interact with Solvent Personal Finance Manager through natural language to manage expenses, incomes, categories, and recurring transactions.

Website Scraper MCP Server

Extracts clean text content and metadata from website URLs using Beautiful Soup through a standardized interface for AI agents. It supports both Bearer token authentication and a blockchain-based pay-per-use protocol for flexible access.

Metabase MCP Server

Enables AI assistants to interact with Metabase analytics platform, allowing them to query databases, execute SQL, manage dashboards and cards, and access analytics data through natural language.

Fal Recraft V3 MCP Server

Provides access to the fal-ai/recraft/v3 image generation model for creating high-quality images with advanced style controls including realistic, digital illustration, and vector art styles, plus color guidance and local image download capabilities.

Zhiwen Assistant MCP

Automatically generates Chinese README documentation and mind maps for project folders, enabling intelligent documentation management and project structure visualization.

Chaitin Rivers Radar

Rivers Radar MCP Based on large language models, provides data querying, analysis and operation capabilities for Chaitin Rivers Cloud - Website Security Monitoring through MCP Tools.

Remote Terminal MCP

A unified remote terminal management server that simplifies complex SSH connections and server management through MCP protocol, allowing users to control multiple remote servers with natural language commands as easily as local operations.

Christensen MCP Server

A strategic advisory agent that applies Clayton Christensen's frameworks, such as Jobs-to-Be-Done and Disruption Theory, to analyze business decisions. It enables users to evaluate organizational capabilities, explore historical case studies, and receive theory-grounded strategic insights.

Enhanced Sequential Thinking MCP Server

Enables structured problem-solving through sequential thinking stages with persistent storage and analysis. Helps break down complex problems into manageable cognitive steps while tracking progress and generating summaries of the entire thought process.

MCP Login Server

Provides automated login functionality for localhost web applications using predefined credentials, designed to work with browser automation tools like the Playwright MCP server.

MCP Server.exe

A powerful executable server for running Model Context Protocol services that supports tool chain execution, multiple MCP services management, and a pluggable tool system for complex automation workflows.

GitHub MCP Server

Servidor MCP oficial de GitHub

Chat Human MCP Server

Enables AI agents to send messages to human users via chat platforms (currently Discord) and optionally wait for human responses, facilitating human-in-the-loop interactions.

AegisX MCP

Provides AI assistants with access to AegisX UI components, CRUD generator commands, development patterns, and API contract discovery tools. It enables developers to browse component documentation, build generation commands, and test authenticated API endpoints through the Model Context Protocol.

Kroger MCP Server

A FastMCP server that provides AI assistants like Claude with seamless access to Kroger's grocery shopping functionality through the Model Context Protocol, enabling store finding, product searching, and cart management.

OPNsense MCP Server

A modular MCP server that provides access to over 2,000 OPNsense firewall management methods through 88 specialized tools. It enables AI assistants to securely manage firewall rules, network interfaces, and system diagnostics using a type-safe TypeScript interface.

Social Media Handle Checker

Checks username availability and retrieves account information across major social media platforms including YouTube, TikTok, Threads, X (Twitter), and Instagram, perfect for brand name qualification and competitive research.

mcp-ytmusic

Enables users to search the YouTube Music catalog and manage playlists using natural language. It provides tools for searching songs, albums, and artists, as well as performing playlist operations like creating, adding, and deleting tracks.

local-RAG-backend

A Docker-based local RAG backend that provides advanced document search capabilities using vector, graph, and full-text retrieval via the Model Context Protocol. It supports over 28 file formats and tracks evolving relationships between concepts using a Neo4j-backed graphiti implementation.

YouTube MCP

A Model Context Protocol server that enables Claude to interact with YouTube data and functionality through the Claude Desktop application.

Remote MCP Server (Authless)

A deployable Model Context Protocol server on Cloudflare Workers that enables custom AI tools without requiring authentication, compatible with Cloudflare AI Playground and Claude Desktop.