> ## Documentation Index > Fetch the complete documentation index at: https://upstash.com/docs/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 = { "claude": { "color": "#D97757", "paths": ["m4.7144 15.9555 4.7174-2.6471.079-.2307-.079-.1275h-.2307l-.7893-.0486-2.6956-.0729-2.3375-.0971-2.2646-.1214-.5707-.1215-.5343-.7042.0546-.3522.4797-.3218.686.0608 1.5179.1032 2.2767.1578 1.6514.0972 2.4468.255h.3886l.0546-.1579-.1336-.0971-.1032-.0972L6.973 9.8356l-2.55-1.6879-1.3356-.9714-.7225-.4918-.3643-.4614-.1578-1.0078.6557-.7225.8803.0607.2246.0607.8925.686 1.9064 1.4754 2.4893 1.8336.3643.3035.1457-.1032.0182-.0728-.164-.2733-1.3539-2.4467-1.445-2.4893-.6435-1.032-.17-.6194c-.0607-.255-.1032-.4674-.1032-.7285L6.287.1335 6.6997 0l.9957.1336.419.3642.6192 1.4147 1.0018 2.2282 1.5543 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The marketplace plugin bundles the skills and the remote MCP over OAuth.", badges: [PLUGIN, 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. The Codex plugin bundles the skills and the remote MCP over OAuth.", badges: [PLUGIN, 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 settings.json.", 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: "Devin Desktop", slug: "devin-desktop", icon: "devin", desc: "Cognition's desktop agent workspace and IDE. 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. The extension bundles the skills and the remote MCP over OAuth.", badges: [EXTENSION, SKILLS, MCP] }, { name: "Google Antigravity", slug: "google-antigravity", icon: "antigravity", 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: [PLUGIN, SKILLS, MCP] }, { name: "Claude Desktop", slug: "claude-desktop", icon: "claude", desc: "Anthropic's desktop app. The marketplace plugin bundles the skills and the remote MCP over OAuth.", badges: [PLUGIN, 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}) => { if (id === "devin") { return ; } if (id === "gemini") { const path = "M20.616 10.835a14.147 14.147 0 0 1-4.45-3.001 14.111 14.111 0 0 1-3.678-6.452.503.503 0 0 0-.975 0 14.134 14.134 0 0 1-3.679 6.452 14.155 14.155 0 0 1-4.45 3.001c-.65.28-1.318.505-2.002.678a.502.502 0 0 0 0 .975c.684.172 1.35.397 2.002.677a14.147 14.147 0 0 1 4.45 3.001 14.112 14.112 0 0 1 3.679 6.453.502.502 0 0 0 .975 0c.172-.685.397-1.351.677-2.003a14.145 14.145 0 0 1 3.001-4.45 14.113 14.113 0 0 1 6.453-3.678.503.503 0 0 0 0-.975 13.245 13.245 0 0 1-2.003-.678z"; return ; } const ic = ICONS[id]; return ; }; return
{AGENTS.map(a =>
{a.name}
{a.desc}
)}
; }; 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. Set them all up with one command, or pick your agent for step-by-step instructions. # Set up with one command Run this in your terminal: ```bash theme={"system"} npx upstash ``` It detects Claude Code, Codex, Cursor, Gemini CLI, VS Code, GitHub Copilot CLI, and OpenCode, and lets you pick which to set up. Each one gets the Upstash [MCP server](/docs/agent-resources/mcp) and [skills](/docs/agent-resources/skills): as the Upstash plugin where the agent supports plugins, otherwise written into its config. The MCP server signs in with OAuth on first use. See the [CLI page](/docs/agent-resources/cli#connect-your-ai-agent) for flags. # Pick your agent Don't see your agent? See the [full list of agents](/docs/agent-resources/clients). # Resources 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. # Set up by hand 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. The **remote** server needs nothing installed — connect over HTTP and approve the OAuth consent on first use (shown here for Claude Code): ```bash theme={"system"} claude mcp add --scope user --transport http upstash https://mcp.upstash.com/mcp ``` Prefer a headless setup, or need [Upstash Box](/docs/box/overall/quickstart) tools? Run the local server with a [Developer API key](/docs/devops/developer-api/introduction#create-an-api-key): ```bash theme={"system"} npx -y @upstash/mcp-server@latest --email YOUR_EMAIL --api-key YOUR_API_KEY ``` See the [MCP server page](/docs/agent-resources/mcp) for remote vs. local, authentication, and feature options. Only working against a single Redis database? The lightweight [Redis MCP](/docs/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. ## Related topics - [TanStack AI Coding Agents](/docs/box/guides/tanstack-setup.md) - [Getting Started](/docs/redis/overall/getstarted.md) - [Vercel AI SDK Tools](/docs/box/guides/ai-sdk-setup.md) - [Vercel AI SDK Memory, RAG & Chat History with Redis](/docs/redis/sdks/agentkit/ai-sdk.md) - [TanStack AI Persistence, Resumable Streams & Memory with Redis](/docs/redis/sdks/agentkit/tanstack-ai.md) This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.