MCP Server Registry

Combines Google Custom Search, Apollo.io, and Proxycurl APIs with OpenAI-powered query generation to systematically discover LinkedIn profiles, extract detailed professional data including contact information, and build enriched databases for lead generation, recruitment research, and market analysis.

Repository for self-paced learning workshop on building agents using Databricks

MCP server adapter for Memento. Translates MCP tool calls into command-registry invocations.

PubChem MCP — NIH chemistry compound database (no auth)

An MCP server for PubChem database using PubChemPy.

Enables search, retrieval, and analysis of academic medical literature through the NCBI PubMed database with formatted citations and researcher publication statistics.

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.

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.

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.

Build Claude Code–style deep agents in Python: tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, and unlimited context — all on Pydantic AI.

MCP server for read-only SQL Server access via Windows Authentication

MCP server for running PySpark SQL queries and data transformations against Spark clusters.

Connects AI assistants to QCDatabase.AI for everyday construction quality-control work.

MCP server for reading LlamaIndex documents stored in Qdrant vector database

A Model Context Protocol (MCP) server that provides RAG capabilities to Cursor using Qdrant.

MCP server that wraps the Qdrant vector database API as tools.

Een MCP server voor interactie met Qdrant vectordatabase

Enables semantic search across multiple document collections using Qdrant vector database integration, allowing natural language queries with configurable result counts and collection tracking.

Provides a vector database for storing and retrieving code snippets through semantic search using Docker containers and sentence-transformers embeddings

Connects AI systems to Qdrant vector databases for semantic search using OpenAI embeddings, enabling contextual document retrieval and knowledge base querying.

Conversation memory and workspace management MCP server for Amazon Q CLI with SQLite + FTS5 storage and real-time sync

Graph memory for AI agents — context engine for OpenClaw + MCP server for Claude Code/Claude.ai. Powered by SurrealDB.

Blazing-fast Data-Wrangling toolkit

AI access to Quadratic spreadsheets: open files, run Python/SQL, query connected databases.