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

MCP server for Differino that lets AI agents compare PDF, DOCX, and TXT documents, with tools for visual and text diffs, summaries, exports, and account balance checks.

Enables context compression for Claude Code with Thai language support, reducing token usage by 50-88% while preserving full recoverability of original content.

Fetches, parses, and summarizes ETSI telecommunications and media standards documents, enabling Claude to autonomously look up and ingest standards mid-conversation for answering questions, generating conformant code, or writing XML.

Give your AI agent PDF summarization, code review, translation, web extraction, document comparison, and persistent memory — all paid autonomously via Bitcoin Lightning.

MCP server that compresses markdown files into caveman-style prose, cutting token usage by 65% while preserving code and structure.

Local MCP server that enables delegating low-risk tasks like summarization or code patches to a low-cost model, with the main agent reviewing results.

Provides AI tools for chat, code review, idea evaluation, explanation, summarization, and debugging by automating DeepSeek AI through Playwright.

Provides fast, multilingual spell-checking for text and files, featuring syntax-aware parsing that intelligently checks only comments and strings in code. It supports over 15 languages and enables directory-wide scanning with custom dictionary management.

Enables coding agents like Claude Code and Codex to offload boilerplate generation, summarization, and other bounded text tasks to local or cheap cloud LLMs, keeping the frontier agent in charge of judgment and code edits.

Enables Claude Code to delegate mechanical tasks (summaries, boilerplate, reformatting) to local models running in LM Studio.

A task-aware context compression layer for Agent workflows, RAG pipelines, and AI Coding assistants, reducing noisy logs, retrieval chunks, and code context into high-signal LLM inputs via CLI, Python SDK, and MCP.

Monetizable AI agent tools - document parsing, text analysis, code generation, security scanning, format conversion, and more. 8 tools with HTTP API and MCP protocol support.

Enables users to extract and review Claude's plan reasoning in Claude Code by reading plan files and providing a structured template for decisions, tradeoffs, and assumptions.

A wingman MCP server for Claude Code that provides auxiliary tools for file summarization, text compression, and diff review to ensure checklist items are not missed.

A deterministic MCP server that wraps Claude Code with verified, retryable commands. It provides tools for text processing like extraction, redaction, and normalization, with mandatory verifiers and fallback to raw Claude.

Deterministic context compression for MCP agents, reducing token usage via 11 tools for prompts, history, shell output, file deltas, and code navigation without ML or GPU.

AI text detection and humanization for Claude Code, Cursor, and Windsurf. Check if text sounds AI-generated, improve it to read naturally, and verify results — all without leaving your editor.

Transcribe local audio/video to text + SRT/VTT with hosted Whisper large-v3, plus summaries, study notes, flashcards, document Q&A, and PDF compression. No API key required — runs via npx -y vocce-transcribe-mcp.

A Model Context Protocol server that wraps the Gemini CLI, enabling AI assistants to send prompts, research topics, analyze code, and summarize content using Gemini.

MCP server that enables Claude Code to interact with Google's Gemini API for code analysis, chat, and summarization tasks.