"Cómo ver errores y advertencias en Visual Studio Code" matching MCP servers:

An MCP server that enables LLMs to search, fetch, and act on Google Workspace (Drive, Gmail, Docs, Sheets, etc.) with rich, one-call results and file deposits to disk, reducing context usage.

Enables coding agents to build, test, ship, and manage Microsoft Copilot Studio agents from the editor, with YAML-based authoring, sync via Power Platform CLI, and API coverage for evaluations, chat, and flows.

Connects AI assistants to the Sandbox Studio API to manage AWS sandbox accounts, leases, templates, events, and settings through natural language conversations.

Enables secure cloud-based execution of code across 14+ programming languages within a sandboxed environment. It supports file management, standard input/output handling, and automatic generation of visual artifacts like plots and charts.

A code-mode MCP server for the Unraid 7.2+ GraphQL API that exposes search and execute tools, allowing LLM agents to introspect and call any GraphQL field via sandboxed JavaScript.

An MCP server for securely executing Python code, supporting STDIO, Streamable HTTP, and SSE transports, with easy deployment on Heroku.

Enables managing Vercel projects, deployments, build logs, domains, and environment variables through natural language in Microsoft Copilot Studio, using streamable HTTP with API key authentication.

A token-efficient MCP server for the Heroku Platform API that uses a search-and-execute pattern to minimize context window overhead. It enables secure app management through just-in-time endpoint discovery and built-in safety guardrails for API mutations.

An MCP server that gives AI agents full access to the Clever Cloud API through three tools: search, execute, and doc, using a code mode pattern to compose API commands.

MCP server for IBM Code Engine — build, push, and deploy containers from Cursor, Copilot, Claude, and Cline using natural language.

Remote MCP server for MuleSoft APIs that enables agents to discover operations and execute validated API calls with a fixed low-context tool surface.

Enables AI-assisted development by running and testing code directly on Databricks clusters via natural language, then deploying Databricks Asset Bundles.

Debug, build, and manage Microsoft Power Automate cloud flows with AI agents. Get action-level error details, build flows from natural language, trigger and resubmit runs, and operate across multiple tenants. Requires a Flow Studio MCP subscription — get an API key at https://mcp.flowstudio.app

Enables clients to discover capabilities and compose tool calls with structured responses through a remote MCP endpoint running on Cloudflare Workers.

agent-bom is an open security scanner and self-hosted control plane for AI, MCP, and cloud infrastructure. The default scan profile in MCP server mode exposes 8 MCP tools. Additional profiles provide inventory, findings, compliance, graph, and runtime workflows. See the published Glama release for its packaged version.

Enables AI assistants to manage multi-cloud resources (AWS, Azure, GCP) including resource operations, cost analysis, monitoring metrics, and security compliance checks through natural language commands.

Enables deploying apps, managing servers, domains/DNS, VPS lifecycle, and account balance on Impreza Host via AI in VS Code.

Enables deploying and managing projects across AWS, Google Cloud, Azure, DigitalOcean, Hetzner, and Vercel directly from Claude Code, with tools for instance lifecycle, domains, environment variables, backend services, databases, webhooks, and GitHub integration.

Enables creating and reading Google Sheets in your personal Drive using OAuth authentication. Files are owned by you, not a service account.

Enables secure interaction with Microsoft SharePoint using certificate-based authentication. Provides 14 tools for managing documents, folders, metadata, and extracting content from various file types including PDF, Word, and Excel.

Enables agents to create, read, and modify Google Sheets using a service account, without OAuth. Provides tools for sheet creation, appending rows, updating ranges, and reading data.

Enables AI assistants to deploy generated files (HTML, PDF, images, etc.) directly to cloud71 hosting, returning a public URL, and manage cloud71 sites via natural language.

Enables AI assistants to interact with ArgoCD APIs through standardized MCP tools for managing applications, resources, and deployments.

A template repository for bootstrapping Model Context Protocol (MCP) servers with WebSocket and SSE support, enabling real-time bidirectional communication and server-to-client streaming in Cloudflare Workers.

A remote MCP server that provides AI coding agents with accurate, real-time cloud deployment cost forecasts across AWS, GCP, and Azure, preventing pricing hallucinations.

Enables deploying a stateless remote MCP server on Cloudflare Workers without authentication, with support for custom tool registration and connections from MCP clients.

An MCP server that provides typed, audited, least-privilege tools for monitoring AWS infrastructure and GitHub pipelines, including instance health, service status, logs, deployment status, CI workflow runs, failed jobs, and PR checks.

Enables management of Ambient Code Platform (ACP) sessions, including creating, viewing, and deleting sessions, with support for labels and bulk operations.

Enables delegation of agentic sessions to Kubernetes-hosted Claude agents running on the Ambient Code Platform. Supports creating, managing, and communicating with remote AI agent sessions through OpenShift authentication.

MCP server that integrates with Coolify to let AI assistants manage Coolify instances via a clean toolkit wrapping the official REST API.