{"library":"hyperdb-mcp","type":"library","category":null,"description":"HyperDB MCP Server (v0.4.0) is an MCP (Model Context Protocol) server that turns Hyper, a columnar SQL database, into an instant analytics engine for LLM workflows. It provides zero-setup SQL analytics, ingesting data from JSON, CSV, Parquet, or Arrow formats and enabling query via SQL. Built on pure-Rust HyperDB, it achieves high ingest and query throughput (22M+ rows/sec insert, 18M+ rows/sec query). The server supports persistent databases for cross-session memory, shared daemon for multiple MCP clients, read-only mode, and inline chart generation. As a pre-1.0 release (0.x), it may undergo breaking changes frequently. Release cadence is rapid with multiple versions per month. Key differentiators: optimized for AI toolchains, combines structured queryable memory with columnar analytics, and features incremental ingest via watch directories.","language":"javascript","status":"active","version":"0.4.0","tags":["javascript","hyper","database","mcp","sql","analytics","arrow"],"last_verified":"Fri Jun 05","install":[{"cmd":"npm install hyperdb-mcp","imports":["import { Server } from '@modelcontextprotocol/sdk/server/index.js'","import { createServer } from 'hyperdb-mcp'","import { HyperProcess } from 'hyperdb-api'"]},{"cmd":"yarn add hyperdb-mcp","imports":[]},{"cmd":"pnpm add hyperdb-mcp","imports":[]}],"homepage":"https://github.com/tableau/hyper-api-rust/tree/main/hyperdb-mcp","github":"https://github.com/tableau/hyper-api-rust","docs":null,"changelog":null,"pypi":null,"npm":"hyperdb-mcp","openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}