"Information about MySQL database management system" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
Your company's brain for AI agents. Cited, permission-aware knowledge across every system.
A personal RAG database you build from chat, so AI creates work that sounds like you.
Remote ChromaDB vector database MCP server with streamable HTTP transport
Rafter holds a team's durable knowledge — skills, agents and memory files, each versioned — and serves it to AI tools over MCP. Agents search across the team's artifacts before answering questions about how the team works or what was decided, fetch full artifact text along with its citation edges (cites, cited_by, links) to explore related material, and write new learnings back as memory. Also covers workspace, team and membership management.
Xata MCP server lets AI agents interact with your Xata projects, and Postgres database branches.
Answers questions about a business using its indexed website content, with cited sources.
Safe, read-only Postgres and MySQL access for AI agents. Audit log + column-level controls.
ContextBook is an open-source MCP server that gives AI tools a persistent, searchable context library. Store information as Books and Pages, retrieve exactly what's needed via natural-language semantic search - injected on demand, not pre-loaded. Works with Cursor, Claude, Windsurf, and any MCP-compatible client. Self-hostable, MIT licensed.
AI-powered RFP response management. Search Q&A libraries, draft responses, and upload documents.
The Needle MCP server enables semantic search on documents stored in files like PDFs, DOCX, and XLSX by connecting AI applications to external data sources. It provides capabilities to create and manage document collections, perform natural language searches on stored content, and retrieve relevant information without requiring exact keyword matches.
Memory system for AI agents with semantic search. Store and recall memories with ease.
Provides metadata information to AI agents through the search API.
Pre-backlog idea management with decision tracking, signals, and RICE scoring.
