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

Integrates with the Datalog Studio REST API to explore projects, tables, and assets within a workspace. It enables users to understand data schemas and upload plain text content directly for AI processing.

An AI-driven data visualization and SQL chat platform that enables natural language to SQL conversion, interactive chart generation, and database querying through a comprehensive MCP interface. Supports multiple databases, intelligent chart recommendations, and secure data management with temporary link sharing.

This server enables agents to identify users and organizations, inspect versioned datasets and model lineage, start training jobs, run and read evaluations, verify deployments, and execute typed workflows through authenticated MCP endpoints.

Label Studio MCP Server

An MCP server that enables retrieval of historical weather data (temperature, precipitation, conditions, etc.) from Visual Crossing for specified locations and dates.

Connects Ignition SCADA and Studio 5000 PLC to correlate tags end-to-end, trace signal chains, and find commissioning gaps.

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Aurekai MCP exposes 89 native akai_\* runtime operators to any MCP-compatible host, covering the full Aurekai binary family — API gateway, artifact inspection, proof bundle export, semantic embedding, batch queuing, entity detection, compression, and more. Zero external dependencies; runs locally via npx -y @aurekai/mcp.

Enables Claude Code to generate Kafka producer and consumer code using predefined event schemas, with tools to list events, get schemas, and validate code.

Enables AI agents and MCP-compliant clients to extract visual data from charts and graphs into structured markdown tables using deterministic, zero-dependency Python.

Enables AI agents to query Microsoft Copilot Studio telemetry and governance data in plain English, pulling from multiple Azure and M365 APIs into a local SQLite database.

Provides full lineage graph analysis for Power BI .pbix files, enabling source-to-visual-field traversal. Exposes REST and MCP endpoints for building, searching, and exporting lineage graphs.

Plataforma administrativa multi-cliente para conectar Siigo con paneles, automatizaciones y agentes de IA mediante MCP Streamable HTTP, ofreciendo herramientas para productos, clientes, cotizaciones e inventario.

Enables exposing any Databricks capability as MCP tools for AI agents, allowing MCP clients like Claude, AI Playground, and Copilot Studio to discover and call them without client-side changes.

Enables querying, inserting, and managing unstructured data in RawTree via SQL, JSON ingestion, and log inspection through MCP clients like Claude Code, Cursor, and Claude Desktop.

Lets AI assistants work on sensitive files by reasoning over schemas and masked output while deterministic local code handles raw data, never exposing real values to the model.

An MCP server that converts Apache Airflow DAGs into Prefect flows. It provides tools to read DAGs, lookup translation knowledge, validate code, search Prefect docs, scaffold projects, deploy, and generate migration reports.

MCP server that exposes local Python scripts as tools for AI clients (e.g. Claude Desktop), enabling directory tree generation, Excel-to-text conversion, Python code extraction, and text file merging.

Aggregates personal data from multiple sources (Claude Code sessions, GitHub, Dropbox, etc.) into a searchable SQLite store and exposes query capabilities via FastMCP for models.

Vizro is a low-code toolkit for building high-quality data visualization apps.