Official MCP server turning Qdrant into a semantic memory layer for AI agents via qdrant-store and qdrant-find.
Provides two primary tools — qdrant-store for saving snippets and qdrant-find for semantic retrieval — backed by configurable embedding models and Qdrant collections. Works locally with stdio or remotely via SSE for shared team memory.
$ uvx mcp-server-qdrantTinybird guidelines for datasources, pipes, and real-time analytics endpoints.
Official MCP server connecting AI assistants to MongoDB databases and Atlas clusters for querying and administration.
Official MCP server giving agents access to thousands of Apify Actors for web scraping and automation.