> ## Documentation Index
> Fetch the complete documentation index at: https://upstash-dx-2968-agent-resources-overview.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.
# AI Tools
> Connect your AI coding agent to Upstash.
export const AgentGrid = () => {
const ICONS = {
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};
const SKILLS = "Skills";
const MCP = "MCP";
const AGENTS = [{
name: "Claude Code",
slug: "claude-code",
icon: "claude",
desc: "Anthropic's terminal and IDE agent. Install Upstash as a plugin from the marketplace.",
badges: [SKILLS, MCP]
}, {
name: "Cursor",
slug: "cursor",
icon: "cursor",
desc: "AI code editor. One-click MCP install button; skills via the Agent Skills CLI.",
badges: [SKILLS, MCP]
}, {
name: "OpenAI Codex",
slug: "openai-codex",
icon: "openai",
desc: "OpenAI's coding agent. Install the plugin and the MCP server with the Codex CLI.",
badges: [SKILLS, MCP]
}, {
name: "OpenCode",
slug: "opencode",
icon: "opencode",
desc: "Open-source terminal agent that loads Agent Skills natively. MCP via its config.",
badges: [SKILLS, MCP]
}, {
name: "Zed",
slug: "zed",
icon: "zed",
desc: "Editor with a built-in Agent Panel. Skills via the CLI, MCP via the Zed extension.",
badges: [SKILLS, MCP]
}, {
name: "GitHub Copilot",
slug: "github-copilot",
icon: "copilot",
desc: "Copilot agent mode in VS Code. MCP via .vscode/mcp.json.",
badges: [SKILLS, MCP]
}, {
name: "Windsurf",
slug: "windsurf",
icon: "windsurf",
desc: "Cascade agent in the Windsurf editor. Skills via the CLI, MCP via its config file.",
badges: [SKILLS, MCP]
}, {
name: "Gemini CLI",
slug: "gemini-cli",
icon: "gemini",
desc: "Google's open-source terminal agent. Skills via the CLI, MCP via settings.json.",
badges: [SKILLS, MCP]
}, {
name: "Google Antigravity",
slug: "google-antigravity",
icon: "rocket",
desc: "Google's agent-first IDE. Skills via the CLI, MCP via the Antigravity MCP config.",
badges: [SKILLS, MCP]
}, {
name: "DeepSeek Harness",
slug: "deepseek-harness",
icon: "deepseek",
desc: "One bundle installs the skills and the MCP server. Log in once from a session.",
badges: [SKILLS, MCP]
}, {
name: "Claude Desktop",
slug: "claude-desktop",
icon: "claude",
desc: "Upload the skill to Claude Desktop or claude.ai; MCP via the desktop app.",
badges: [SKILLS, MCP]
}, {
name: "Grok",
slug: "grok",
icon: "grok",
desc: "xAI's Grok Build agent. Skills via the Agent Skills CLI, MCP via grok mcp add.",
badges: [SKILLS, MCP]
}];
const AgentIcon = ({id}) => {
const ic = ICONS[id];
if (ic.kind === "stroke") {
return
{ic.paths.map((d, i) => ;
}
return
{ic.paths.map((d, i) => ;
};
return ;
};
Upstash ships Skills, a CLI, an MCP server, and llms.txt so your agent can build on and manage Redis, QStash, Workflow, Vector, Search, and Box. Pick your agent to get set up in a minute.
# Pick your agent
Docs and CLI reference for every Upstash SDK, loaded on demand.
Live tools to query, debug, and manage your Upstash account.
Agent-friendly terminal for managing resources. JSON output, dry runs.
The docs as plain text for tools without skill or MCP support.
# Quick start
Install the Upstash skill. It includes the `upstash` CLI reference, so this one step is enough for most workflows:
```bash theme={"system"}
npx skills add upstash/skills
```
To let your agent read and change your account directly, add the MCP server as well. Grab an API key from [Upstash Console → Account → API Keys](https://console.upstash.com/account/api) first:
```bash theme={"system"}
npx -y @upstash/mcp-server@latest --email YOUR_EMAIL --api-key YOUR_API_KEY
```
Only working against a single Redis database? The lightweight [Redis MCP](/redis/sdks/mcp) needs just that database's REST URL and token, not an account API key.
# Building AI into your app?
The resources above are for agents that help you build. If you're building agents or AI features into your own product, start here:
Long-term memory, RAG, and chat history for the Vercel AI SDK and Eve, backed by Redis.
Embeddings and semantic search for RAG pipelines, with LangChain, LlamaIndex, and AI SDK integrations.
Durable multi-agent orchestration with retries and no timeouts. Works with AI SDK and LangChain tools.
Sandboxed cloud containers with Claude Code, Codex, or OpenCode built in, for running agents at scale.
Full-text and semantic search over your documents, ready to serve as a retrieval tool.
Call LLM APIs with retries, callbacks, batching, and a 2-hour timeout from serverless runtimes.