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Upstash Redis MCP, Ready to Go

Give your AI agents the power to manage Upstash Redis data. Use Claude or Cursor to query, update, and clear cache keys instantly.

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Manage serverless Redis data and cache keys directly from your chat.

Upstash Redis MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the Upstash Redis Connector?

718ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this Connector on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 522ms
Average 718ms
Max 1048ms
Trend (improving) ↓ 26%
Daily latency
1048ms 7/12/2026
782ms 7/13/2026
773ms 7/14/2026
880ms 7/15/2026
888ms 7/16/2026
768ms 7/17/2026
783ms 7/18/2026
673ms 7/19/2026
732ms 7/20/2026
623ms 7/21/2026
606ms 7/22/2026
522ms 7/23/2026
535ms 7/24/2026
703ms 7/25/2026
7/12/2026 7/25/2026

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AI Agent

What AI agents can do with Upstash Redis MCP: 7 Tools for Cache Management

Use these tools to let your agent read, write, delete, and audit your Upstash Redis data in real-time.

List keys

Scan your database for keys matching a specific glob pattern. This helps you find specific data without pulling every key into memory.

Ping

Check if your Redis instance is online and responsive. Use this to quickly verify connectivity during setup or troubleshooting.

Set

Create or update a string value in your database. You can also set a Time-To-Live (TTL) to control how long the data stays active.

Delete

Remove one or more keys from your database. This is the fastest way to clear out specific cache fragments or expired data.

Get

Fetch the raw string value associated with a specific key. Use this to inspect the actual content of your stored data.

Increment

Increase or decrease a numerical value at a specific key. It's perfect for managing counters like hit limits or request tallies.

Get key info

Retrieve the data type and remaining TTL for a specific key. This helps you understand how your database is currently storing a piece of data.

A Connector is a URL. Vinkius runs it: hosting, security, governance, observability.

You're looking at one of 5,800+ managed Connectors. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

Upstash Redis MCP for Faster Cache Debugging

This is for the engineers who are tired of context-switching. If you're constantly jumping into a database UI to debug a production cache issue or manually clearing out old sessions during a deployment, this is for you.

Backend Developer

Debugging session persistence and clearing stale cache during development.

DevOps Engineer

Checking rate-limiting counters and instance health during live incidents.

System Architect

Auditing TTL behaviors and eviction policies for new features.

Frequently Asked Questions

Can the Upstash Redis MCP help me clear my cache? +

Yes, it lets your agent delete specific keys or groups of keys using patterns. You can just ask it to clear out old data or specific cache fragments.

How do I use Upstash Redis MCP to manage user sessions? +

Your agent can read, write, and set expiration times on session keys automatically. This makes it easy to check if a user is logged in or to manually refresh a session.

Does Upstash Redis MCP support rate limiting? +

It can increment and decrement numerical counters, which is perfect for managing request limits. You can ask your agent to bump a counter or check the current limit.

Can I check my database health with Upstash Redis MCP? +

Yes, the agent can ping your instance to verify that it is online and reachable. This is a quick way to check connectivity during a deployment or a debug session.

Is Upstash Redis MCP good for debugging? +

It is excellent for quickly inspecting key values and expiration times without leaving your terminal. It helps you see exactly what is stored in your cache at any moment.

How does Upstash Redis MCP handle data expiration? +

You can use the set command to give every new key a specific Time-To-Live in seconds. This ensures your database doesn't get cluttered with old data.

Where do I locate my Upstash REST URL and Token? +

Sign into your Upstash management console and load your specific Redis cluster. Scroll down visually on the main 'Details' page until you hit the 'REST API' section block. You will see both your 'UPSTASH_REDIS_REST_URL' and the alphanumeric 'UPSTASH_REDIS_REST_TOKEN' ready to be copied.

Can the agent interact with standard Redis connections (redis://)? +

No, this specific MCP connection module specifically utilizes Upstash's serverless HTTP/REST endpoints. It bypasses conventional persistent TCP Redis sockets to provide highly secure and connection-agnostic read/write integrations optimized for AI servers.

Are there limitations to wildcard patterns when doing list_keys? +

Yes, standard Redis operational caveats apply. Searching broadly via a '' (asterisk) scan across massively populated environments isn't recommended. Aim to request the AI narrow down patterns, like 'session:' instead of blank wildcards.

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