Work with the @upstash/box TypeScript/JavaScript SDK for sandboxed cloud containers with AI agents, shell, filesystem, git, cron schedules, and a headless browser. Use when building with Upstash Box, creating sandboxed environments, running AI agents in containers, browser automation from a box, or orchestrating…
Work with the upstash-box Python SDK for sandboxed cloud containers with AI agents, shell, filesystem, git, cron schedules, and a headless browser. Use when building with Upstash Box in Python, creating sandboxed environments, running AI agents in containers, browser automation from a box, or orchestrating parallel…
Run the Upstash CLI (upstash) against the Upstash Developer API for Redis, Vector, Search, QStash, and teams. Use when listing or managing databases, backups, vector/search indexes, QStash instances, team members, stats, or any non-interactive Upstash automation with JSON output and terminal commands.
Work with the QStash TypeScript/JavaScript SDK for serverless messaging, scheduling. Use when publishing messages to HTTP endpoints, creating schedules, managing queues, verifying incoming messages and other QStash features in serverless environments.
Lightweight guidance for using the Upstash Redis RateLimit TypeScript/JavaScript SDK, including setup steps, basic usage, and pointers to advanced algorithm, features, pricing, and traffic‑protection docs.
Work with the Upstash Redis TypeScript/JavaScript SDK for serverless Redis operations. Use for caching, session storage, rate limiting, leaderboards, full-text search (querying, filtering, aggregating) with Upstash Redis Search (different from regular FT.SEARCH), and all Redis data structures. Supports automatic…
Run analytics over indexed data using metric and bucket aggregations. Compute statistics, group documents, build histograms, and perform faceted navigation. Aggregations can be nested for multi-level analysis.
Index aliases provide an indirection layer between your application and the actual index. You can point an alias to any index and swap it atomically, enabling zero-downtime reindexing.
Create, inspect, and drop search indexes. Wait for indexing to complete after data changes. Indexes automatically track Redis keys matching a specified prefix.
Query documents from a search index using type-safe filters with support for pagination, sorting, field selection, scoring, and highlighting. Count matching documents efficiently without returning results.
Provision a zero-config, no-signup Upstash Redis database for an AI agent via a single POST to https://upstash.com/start-redis. Use when an agent needs scratch Redis for short-term memory, conversation history, sub-agent work queues, or ranked recall and the user has not provided credentials. The database lives 3 days…
Skills covering Upstash Search quick starts, core concepts, and TypeScript/JavaScript SDK usage. Use when a user asks how to get started, how indexing works, or how to use the TS client.
Skills for Upstash Vector features, TypeScript/JavaScript SDK usage, and integrations. Use when users ask how to work with Vector, its TS SDK, features, or supported frameworks.
Skills for the Upstash Workflow TypeScript/JavaScript SDK to define, trigger, and manage workflows. Use this Skill whenever a user wants to create workflow endpoints, run steps, or interact with the Upstash Workflow client.
Work with any Upstash SDK or tool including Redis, Box (TypeScript/JavaScript and Python), QStash, Workflow, Vector, Search, Ratelimit and the Upstash CLI. Use when the user is working with any Upstash product or SDK.
Run Redis commands and look up Upstash Redis Search docs against Upstash Redis over HTTP or TCP. Runs locally from the @upstash/redis-mcp npm package. Needs 3 environment variables to run.