"A server for finding information about Artificial Intelligence (AI)" matching MCP servers:

Provides KPI tools for factory intelligence, including productivity, quality, downtime metrics, and alarm analysis via TimescaleDB.

Provides secure integration between MCP clients and IBM Data Intelligence services, enabling AI assistants to interact with IBM's data intelligence capabilities for data management and analytics operations.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

Enables AI assistants to securely manage and analyze personal finances through natural language, with full control over data via a private PostgreSQL database.

A safety-gated Python MCP server for Metabase that lets MCP clients and agents inspect Metabase, run governed queries, and create or maintain dashboards, cards/questions, collections, snippets, permissions, and other Metabase assets through the Metabase REST API.

Read-only MCP server exposing the Construction Intelligence Platform's project discovery interface via search_projects and fetch_project tools, returning Pydantic business objects from the ci_market_state DuckDB table without requiring SQL.

Enables governed analytics and research on land development optionality, infrastructure proximity, and stewardship via MCP tools that provide transparent screening heuristics and reproducible evidence.

An autonomous MCP server that enables LLMs to intelligently query and analyze MongoDB databases by reverse-engineering schemas, proving relationships, and enforcing security safeguards like PII masking and query limits.

Enables exploring Microsoft Fabric / Power BI workspaces and semantic models, and executing ad-hoc DAX queries.

MCP server for Cloudflare D1 database introspection, providing schema analysis, relationship extraction, validation, and optimization suggestions via Semantic Intent patterns.

MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.

A Model Context Protocol (MCP) server for developing Django applications. It exposes Django project information through MCP tools, enabling AI assistants to better understand and interact with Django codebases.

A Machine Control Protocol (MCP) server that enables storing and retrieving information from a Qdrant vector database with semantic search capabilities.

A production-style MCP server exposing six business tools (web search, database, CRM, email, calendar, analytics) to AI clients via a secure, authenticated interface, with mock mode and a reference agent client.

Enables AI agents to interactively interrogate database schema metadata using SchemaCrawler.

A server that enables document searching using Vertex AI with Gemini grounding, improving search results by grounding responses in private data stored in Vertex AI Datastore.

MCP server that connects AI assistants to Redash, enabling listing of assets, read-only query execution, dashboard inspection, and alert management through the Redash API.

Lets AI clients ask natural-language questions about a SQL database with production-safe guardrails, schema grounding, and read-only enforcement.

Retrieves comprehensive patient information including personal details, insurance plans, and employee data through the get_patient tool. Supports Docker Compose deployment and integration with Watson Orchestrate for healthcare data access.