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.

Upstash Redis MCP Server for Google ADK 7 tools — connect in under 2 minutes

Name: Upstash Redis
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 7 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Upstash Redis as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="upstash_redis_agent",
    instruction=(
        "You help users interact with Upstash Redis "
        "using 7 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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IAMAccess control

EU AI ActCompliant

DLPData protection

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Upstash Redis MCP Server

Connect your Upstash Redis serverless database securely to your conversational AI agent via their REST API. Activating this integration grants your AI the technical autonomy to function as a responsive database administrator, enabling it to scan live keys, read raw datastore strings, set temporal expiration values, and even debug in real-time straight from your chat or IDE terminal.

Google ADK natively supports Upstash Redis as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Read & Write Values — Fetch the exact string configuration of a stored key (get), or instruct the AI to inject a new value (set) complete with Time-To-Live (TTL) expiration limits.
Data Structure Discovery — Perform pattern-based scans across your database to track down dynamically generated keys and inspect their underlying structures or lifespans (list_keys, get_key_info).
Manage Counters — Safely increment or decrement numerical keys dynamically, perfect for managing rate limits, operational counters, or user session metrics directly during troubleshooting flows.
Maintain Health — Ping the cluster instance for responsive status checks and remove (delete) specific keys or cache fragments completely.

The Upstash Redis MCP Server exposes 7 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Upstash Redis to Google ADK via MCP

Follow these steps to integrate the Upstash Redis MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 7 tools from Upstash Redis via MCP

Why Use Google ADK with the Upstash Redis MCP Server

Google ADK provides unique advantages when paired with Upstash Redis through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Upstash Redis

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Upstash Redis tools with BigQuery, Vertex AI, and Cloud Functions

Upstash Redis + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Upstash Redis MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Upstash Redis and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Upstash Redis tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Upstash Redis regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Upstash Redis

Upstash Redis MCP Tools for Google ADK (7)

These 7 tools become available when you connect Upstash Redis to Google ADK via MCP:

delete

Provide a comma-separated list of keys. Deletes one or more keys from Redis

get

Retrieves the string value stored at a key

get_key_info

Retrieves the data type and TTL of a key

increment

Use negative numbers to decrement. Increments or decrements a numeric counter at a key

list_keys

Avoid broad patterns like "*" on large databases. Scans for keys matching a glob pattern

ping

Pings the Redis instance to verify connectivity

set

You can specify expiry in seconds. Sets a string value at a key with an optional TTL

Example Prompts for Upstash Redis in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Upstash Redis immediately.

"List all active Redis keys associated with app sessions."

"Check the Time-To-Live duration limit configured for the 'cache:product_header' key."

"Delete all caching strings tagged as 'user_193_avatar' from the database immediately."

Troubleshooting Upstash Redis MCP Server with Google ADK

Common issues when connecting Upstash Redis to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Upstash Redis + Google ADK FAQ

Common questions about integrating Upstash Redis MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.