Bring Key Value Store
to CrewAI
Create your Vinkius account to connect Upstash Redis to CrewAI and start using all 7 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Authorize the Upstash Redis MCP component in your active module extensions.
- Obtain both the
REST URLandREST Tokenconnected to your intended database from your Upstash console and submit them in the configuration fields. - Chat natively with your AI to prompt a scan of cache items like 'session:*' or adjust active TTLs on a throttling profile.
Who is this for?
- Backend Developers — Verify cache hits, clear outdated session states intuitively, or seed temporary mock parameters rapidly without launching specialized desktop database clients like RedisInsight.
- DevOps Engineers — Inspect the rate-limiting structures or increment manual counter matrices safely during live-site debugging incidents.
- System Architects — Audit temporal key lifespans testing new eviction behaviors immediately as they write operational code logic.
Built-in capabilities (7)
Provide a comma-separated list of keys. Deletes one or more keys from Redis
Retrieves the string value stored at a key
Retrieves the data type and TTL of a key
Use negative numbers to decrement. Increments or decrements a numeric counter at a key
Avoid broad patterns like "*" on large databases. Scans for keys matching a glob pattern
Pings the Redis instance to verify connectivity
You can specify expiry in seconds. Sets a string value at a key with an optional TTL
Why CrewAI?
When paired with CrewAI, Upstash Redis becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Upstash Redis tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Upstash Redis in CrewAI
Why run Upstash Redis with Vinkius?
The Upstash Redis connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 7 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Upstash Redis using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Upstash Redis and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Upstash Redis to CrewAI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Upstash Redis for CrewAI
Every request between CrewAI and Upstash Redis is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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