"sql server" matching MCP servers:

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

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.

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

Enables natural-language (Chinese or English) querying of a socioeconomic survey microdata warehouse covering five survey programs and over a thousand tables, by exposing standard tools for exploring surveys and sections, semantically searching variable metadata, generating read-only SQL, computing weighted statistics, and rendering charts. Results, SQL, and tool calls are returned in-chat, and it can be attached to Claude Desktop or Claude Code as well as its bundled web interface.

MCP server that connects Redash to Claude AI, enabling natural language data queries, dashboard management, and SQL execution.

Enables AI assistants to interact with Metabase for querying databases, executing SQL, managing dashboards, and automating analytics workflows.

Your coding agent answers with dashboards, not paragraphs. An MCP server for Claude Code, Codex, Cursor, Gemini CLI and more: charts and tables from read-only SQL on Postgres, SQLite, Excel or CSV, in your browser, your app or a terminal pane. 2.7× cheaper than Claude Code making the charts itself.

An MCP server that enables AI assistants to query databases, execute SQL, and manage Metabase resources like dashboards, cards, and collections through natural language.

Enables agents to explore and operate Grafana by searching and reading dashboards and folders, querying datasources such as Prometheus, Loki and SQL, and inspecting alert rules and annotations. Its safe-by-default access modes gate dashboard and folder creation, editing and deletion behind escalating permission levels.

Enables local, private analysis of CSV and TSV files through natural-language agents such as Grok Bot and Cursor, offering file listing, profiling, SQL-like queries, summaries, group-bys, pivot tables, cleaning previews and generated charts. All computation happens on the user's own machine against an allowlisted folder, with no network calls, telemetry or data leaving the host.

Turns relational schemas into editable entity-relationship diagrams in draw.io, supporting live databases, SQL DDL, YAML/JSON specs, and existing .drawio files, with tools for managing tables, columns, and relations.

Enables natural language interaction with AWS QuickSight for building, editing, and managing analyses, datasets, and dashboards, including chart creation, SQL updates, and QA verification.

Local stdio MCP server for reviewing Apache Superset dashboards, retrieving chart data, executing SQL through SQL Lab, and creating or updating saved queries.

Connects LLM clients to Apache Superset for querying charts, dashboards, datasets, databases, and executing SQL.

Enables MCP clients such as Claude to browse and edit Apache Superset dashboards, charts, and datasets, run and manage SQL Lab queries, and administer databases and tags. Authenticates via session cookie plus CSRF (with JWT fallback) and returns fully paginated, compact listings so large instances stay within the model's context.

An MCP server that provides AI assistants with full access to Apache Superset instances, enabling interaction with dashboards, charts, datasets, databases, and SQL execution capabilities.

Connects AI clients to the Matih data platform, enabling SQL queries, table profiling, analytics, chart creation, and file uploads through MCP tools with OAuth/PKCE authentication.

An oil & gas data-analytics MCP server that enables guarded SQL queries, well valuation, and map rendering within chat apps.

Enables AI assistants to read and audit Tableau .twbx workbooks locally, providing tools for dependency tracing, field listing, SQL queries, filters, and semantic diffs.