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

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.

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.

Label Studio MCP Server

Enables Claude to read, write, plan, and validate Workday Studio integration assemblies locally, including analyzing PECI/PICOF samples and generating vendor XSLT transforms without copy-pasting XML.

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

A read-only MCP server that connects AI clients to your own bank, credit card, loan, and brokerage data through Plaid or Teller, letting you query accounts, balances, transactions, holdings, liabilities, identity, income, and run debt avalanche/snowball payoff analysis. Credentials and access tokens stay locally in a chmod-600 SQLite file, with outbound calls limited to the provider's API.

Enables MCP-based access to a US stock data warehouse and screener, allowing automated screening with daily free market data.

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

The server enables AI agents to define and execute predictable, multi-step data pipelines using a declarative workflow graph. It guarantees deterministic execution order and provides visual representations of the data flow without relying on heavy cloud orchestrators.

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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 an AI assistant to build Power BI projects end to end: data modeling (tables, DAX measures, relationships, calculation groups, roles, field parameters) against an open Power BI Desktop via TOM/XMLA, and reports (pages, visuals, formatting, bookmarks, themes) as PBIR files in a .pbip project. Every visual is cross-checked against the real model before being written, so generated dashboards don't break on open.

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.

A Model Context Protocol server for intelligent Excel processing and data analysis, offering tools for reading, validating, executing code, and generating interactive visualizations with Excel files.

Enables AI-powered business intelligence and data analysis using pandas and LLM code generation. Supports automated data processing, statistical analysis, and visualization creation through natural language interactions.

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.

Lets AI agents assemble, configure, and execute fault prediction pipelines as component graphs, sharing the same runtime and XML persistence as the visual designer.

Local-first data quality validation for Excel/CSV: schema-aware checks with 10 zero-code constraint types (uniqueness, ranges, foreign keys and more) and row-level error reports.

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.

Autonomous cross-source inconsistency and contradiction intelligence engine for AI agents. Detects specification drift, SemVer conflicts, and infrastructure mismatches across code, docs, and deployments.

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.

The official Model Context Protocol server for Ambee. It gives any MCP-compatible AI assistant — Claude, ChatGPT, Cursor, VS Code, Ollama, and more direct access to live air quality, pollen, and weather data.

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