Database
| Server | Language | Stars | Downloads |
|---|---|---|---|
| PubMed Research Integrates with PubMed's biomedical literature database to search academic papers, retrieve detailed metadata and abstracts, generate formatted citations in multiple styles, and track citation metrics for research and literature review workflows. | TypeScript | 13 | - |
| PubMed Search Integrates with PubMed database via NCBI E-utilities API to search and retrieve academic papers, including titles, authors, journals, abstracts, and DOIs for biomedical research. | — | 6 | - |
| puli-mcp-server a proactive security and stability guardrail for your AI coding agents (Claude Code, Cursor, Antigravity, etc.). It prevents production breakages by confronting proposed code changes with a massive, real-time database of global incidents, edge cases, and security breaches. | Python | - | - |
| pydantic-deepagents Build Claude Code–style deep agents in Python: tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, and unlimited context — all on Pydantic AI. | Python | 1.1k | - |
| pyodbc-mcp-server MCP server for read-only SQL Server access via Windows Authentication | Python | - | - |
| PySpark MCP server for running PySpark SQL queries and data transformations against Spark clusters. | Python | 0 | - |
| QCDatabase.AI Connects AI assistants to QCDatabase.AI for everyday construction quality-control work. | — | - | - |
| qdrant-llamaindex-mcp-server MCP server for reading LlamaIndex documents stored in Qdrant vector database | Python | - | - |
| qdrant-loader-mcp-server A Model Context Protocol (MCP) server that provides RAG capabilities to Cursor using Qdrant. | Python | - | - |
| Qdrant MCP MCP server that wraps the Qdrant vector database API as tools. | Python | - | - |
| qdrant-mcp-server Een MCP server voor interactie met Qdrant vectordatabase | TypeScript | 37 | - |
| Qdrant Retrieve Enables semantic search across multiple document collections using Qdrant vector database integration, allowing natural language queries with configurable result counts and collection tracking. | TypeScript | 0 | - |
| Qdrant Vector Database Provides a vector database for storing and retrieving code snippets through semantic search using Docker containers and sentence-transformers embeddings | — | 1 | - |
| Qdrant with OpenAI Embeddings Connects AI systems to Qdrant vector databases for semantic search using OpenAI embeddings, enabling contextual document retrieval and knowledge base querying. | — | 7 | - |
| q-mem-mcp-server Conversation memory and workspace management MCP server for Amazon Q CLI with SQLite + FTS5 storage and real-time sync | Python | - | - |
| qmemory Graph memory for AI agents — context engine for OpenClaw + MCP server for Claude Code/Claude.ai. Powered by SurrealDB. | TypeScript | 1 | - |
| qsv Blazing-fast Data-Wrangling toolkit | Rust | 3.8k | - |
| Quadratic AI access to Quadratic spreadsheets: open files, run Python/SQL, query connected databases. | — | - | - |
| QueryBear Safe, read-only Postgres and MySQL access for AI agents. Audit log + column-level controls. | — | - | - |
| querybridge-mcp MCP server connecting Claude Code with MySQL — supports SSH tunnels and multiple databases | TypeScript | - | - |
| Query Forge Enterprise SQL query optimizer and performance analyzer. | — | - | - |
| QueryPilot Safe SQL gateway for AI agents: SELECT-only validation, access policies, masking, audit trail, evals | Python | - | - |
| QuestDB Web Console MCP Server Connects coding agents to a running QuestDB Web Console: notebook cells, SQL queries, and charts. | TypeScript | - | - |
| Queue AIops Governed redis + rabbitmq ops: memory/latency/backlog/churn RCA, policies. 26 tools. | Python | - | - |
| QuintaDB No-code databases, forms, portals and AI sites. Manage records and automation via natural language. | — | - | - |