"Information about SQLite databases" matching MCP servers:

Embeds live, interactive Tableau dashboards in ChatGPT, pushing mark selections to the model so questions about specific data points are answered with live queried numbers.

Enables querying Tableau lineage through the Metadata API via MCP, supporting impact analysis, where-used lookups, and content search. Provides read-only tools for answering natural-language questions about workbooks, datasources, fields, and dependencies.

A Python MCP server for Metabase that enables AI assistants to query databases, manage dashboards, and interact with your Metabase instance.

A Model Context Protocol (MCP) server that exposes tools for exploring and querying SQLite and PostgreSQL databases. It allows Large Language Models (LLMs) to inspect table structures, perform statistical profiling, generate entity-relationship diagrams, and execute queries safely.

Daily-refreshed Glama TDQS score tracker for any MCP fleet. Scrapes per-tool grades from glama.ai, stores in SQLite with snapshot history and delta tracking, surfaces via MCP tools, Prefab cards, a 6-page web dashboard, and an LLM-powered chat interface.

A production-grade MCP server for enterprise sales analytics, enabling LLM clients to query, analyze, and visualize sales data from a SQLite database through structured tools, resources, and prompts.

A comprehensive MCP server that provides complete access to Qlik Sense applications and their detailed information for AI assistants and other MCP clients.

Enables users to query enterprise sales data from a local SQLite database and investigate anomalies through an inline dashboard with human-in-the-loop review buttons.

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

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 natural-language querying of databases via SQLBot, with datasource discovery, metadata inspection, and report generation.

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.

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

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.

MCP server for introspecting PostgreSQL databases, providing tools to list tables, describe schemas, foreign keys, and generate DOT ER diagrams.

Enables AI assistants to create, edit, and export IFC5/IFCX building information models through natural language, handling spatial structure, elements, geometry, metadata, validation, and export.

Connects databases to AI assistants, enabling natural language data analysis, cross-database queries, automated insights, and visualizations.

Consolidated MCP server exposing 161 tools across 9 groups to manage a layered data platform (financial, economic, statistical) backed by a single SQLite file, with data fetching delegated to an upstream semantic fetcher.

Enables AI assistants to access and manage Metabase analytics through 96 tools for dashboards, cards, databases, tables, collections, and query execution.

Enables AI assistants to fully manage the analytics platform through comprehensive tools for dashboards, cards, databases, and tables.