"How to connect to a SQL Server database" matching MCP servers:

Enables an agent to turn a paper's draft into editable Figma frames for publication-ready figures, checking every number against the paper and verifying the exported PDF.

Enables discovery of Fabric/Power BI workspaces and semantic models, execution of DAX queries, and generation of executive HTML reports with visualizations.

Enables AI assistants to read Garmin Connect data — sleep, heart rate, stress, HRV, body composition, activities, steps, training status/readiness and VO2max trends — through a read-only set of 14 MCP tools. It also generates visualized daily and weekly health reports as Markdown or self-contained HTML+SVG, with credential redaction, dual auth modes, and a mock mode for testing without a real account.

Enables Claude and any MCP client to read a user's own Garmin account in plain language, covering activities, time-series charts, thresholds, sleep, HRV, Body Battery, stress, readiness and trends. It also serves a private local dashboard that downloads the full training and health history, correlates metrics across views, and exports any table as CSV.

Enables Cursor AI to interact with SQL Server databases, including querying, schema exploration, report generation, and chart creation.

Enables answering business questions over local SQL Server WideWorldImporters data through MCP, with support for both STDIO and Streamable HTTP endpoints.

A secure multi-database MCP server supporting MySQL, PostgreSQL, and SQLite with read-only enforcement, SQL injection prevention, and tools for schema analysis, performance optimization, and visualization.

A Model Context Protocol (MCP) server for Microsoft SQL Server that provides tools for database operations, data analysis, and visualization generation.

Enables generating Power BI .pbit dashboards from CSV files or live SQL databases using plain-English prompts and optional reference-image layouts, with local-only processing and MCP tools for Claude Desktop.

A local, fully vectorized computational engine for stock market analysis that enables AI to perform factor calculation, strategy backtesting, IC analysis, and GPU-based multi-dimensional visualization using local DuckDB data.

Enables connecting to any SQL database, exploring schemas, running queries, and visualizing results with interactive charts from Claude Desktop.

A read-only MCP server that connects Claude to the Northwind sample PostgreSQL database, allowing natural language queries to generate SQL and charts.

An HTTP MCP server for exploring CSV files that masks PII before any code execution, enabling safe data analysis with local or cloud LLMs.

Enables AI assistants to connect to StarRocks databases for direct SQL execution (queries and DDL/DML), database and table exploration, schema and data overviews, and Plotly chart visualization of query results. It also exposes internal StarRocks metrics and states, with in-memory caching and configurable connections via environment variables.

Enables AI assistants to connect to StarRocks clusters to run read and write SQL, explore databases and table schemas, pull system metrics, and retrieve cached table/database overviews with sample data. It also generates Plotly charts directly from query results.

Enables conversational spatial SQL queries in plain English, turning natural language questions into validated PostGIS operations and rendering results as GeoJSON on an interactive map.

Enables AI assistants to connect to StarRocks databases for direct SQL execution, schema and database exploration, system metrics access, and Plotly chart generation. It also provides cached table and database overviews.

Enables AI assistants to connect to StarRocks databases for direct SQL execution, schema and metadata exploration, table/database overviews, system metrics access, and Plotly chart generation from query results.

Enables AI assistants to execute SQL, explore schemas, retrieve internal metrics, generate Plotly charts, and obtain table/database overviews from a connected data warehouse.

Enables AI assistants to connect to StarRocks databases for direct SQL execution, database and schema exploration, detailed table/database overviews, and Plotly chart visualization of query results.

Renders word-sized charts — sparklines, bars, bullets and 100+ more types — to self-contained SVG with generated alt text, small enough to sit inline in a model's reply or a table cell. Three tools: find the right chart for a question, get its wiring, and render it.

A Model Context Protocol server that gives an LLM a structured visual layer to describe what exists and get back a clean, precise SVG diagram instead of ASCII art.

Renders OHLCV data as candlestick chart PNGs and returns inline images. It is a pure renderer with no network access, allowing models to view charts generated from provided data.

Enables querying SQLite databases in plain language through MCP, letting clients like Claude Code inspect schemas and run read-only SQL.

A Model Context Protocol server that renders Apache ECharts options to SVG, enabling AI agents to generate deterministic charts server-side without a browser.

Geneva MCP brings production-grade forecasting directly into AI assistants and coding agents. Connect any MCP-compatible client to the Geneva Forecasting Engine and run rigorous time series forecasts through natural conversation.

A Model Context Protocol server for interacting with Lightdash, enabling AI assistants to discover data, create charts, and manage dashboards programmatically.

A graph layout server that computes node coordinates and edge paths from structure using elkjs, enabling agents to offload layout calculations without rendering.

MCP server that opens a native desktop window to display rich content (Markdown, HTML, Mermaid diagrams, images) with real-time updates via SSE.

Enables AI agents to build freeform dashboards for e-ink panels by listing widgets and devices, laying out a canvas, rendering a preview, and pushing to the panel.