Bring Mysql
to CrewAI
Create your Vinkius account to connect PlanetScale to CrewAI and start using all 10 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 PlanetScale MCP Server?
Empower your AI agents to manage your PlanetScale serverless infrastructure seamlessly. Leverage the power of Vitess-backed MySQL without leaving your IDE. Ask your AI to branch a production database for testing, list regions, or drop obsolete schema forks instantly.
What you can do
- Database Provisioning — Instantly list (
list_databases), inspect, create (create_database), or destroy serverless MySQL clusters running across global regions. - Branch Management — Harness PlanetScale's Git-like schema workflows. Direct your LLM to spawn a temporary
shadow-testbranch cloned frommain(create_branch), allowing consequence-free migrations before orchestrating Deploy Requests. - Infrastructure Exploration — Discover strict organizational IDs (
list_organizations) and query available physical cloud provider edges (list_regions) to optimize latency targets.
How it works
- Ensure your AI environment has this connector subscribed
- Provide an active PlanetScale Service Token
- Manage fleets of serverless data clusters via natural language inside Cursor or Claude
Who is this for?
- DevOps Engineers — automate the destruction of stale staging branches (
delete_branch) via simple LLM terminal chat commands. - Full-stack Developers — spin up ephemeral database branches for isolated feature development without touching the web console.
- Platform Architects — audit distribution footprints, node metadata, and connection strings across multiple organizational environments automatically.
Built-in capabilities (10)
Does *not* duplicate data (creates an empty schema clone of the parent) for secure CI testing uncoupled entirely from `main` load balancing layers. Fork a PlanetScale schema mapping to a new isolated Branch
Creates empty environments ready to execute explicit DDL definitions via non-blocking Deploy Requests. Provision a radically scalable Serverless Database instance
Utilized constantly within CI/CD pipelines following a successful Deploy Request morphing `main` schema structure directly. Purge an obsolete Git-like Schema testing ground
Dropping the database effectively wipes terabytes of records scattered globally. Fails fully if unacknowledged connection logic binds it. Destroy a PlanetScale MySQL construct irreversibly
Returns access hostnames for code integration. Deconstruct the layout of a single explicit Database Branch
Analyze core configuration of a specific MySQL cluster logic
Essential for migrating schemas without locking production reads/writes. List Development Database Branches mirroring Prod architectures
Retrieves explicitly mapping IDs orchestrating distributed Vitess backend shards. List high-availability PlanetScale MySQL DB distributions
Used solely to resolve the foundational string key prerequisite for all subsequent MySQL endpoint management. List root PlanetScale organizational identifiers
Critical reference required during new Database/Branch physical provisioning routines. Locate physical edge availability zones supported by Vitess
Why CrewAI?
When paired with CrewAI, PlanetScale becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call PlanetScale tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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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
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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
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
PlanetScale in CrewAI
Why run PlanetScale with Vinkius?
The PlanetScale 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 10 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 PlanetScale using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
PlanetScale and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect PlanetScale 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
PlanetScale for CrewAI
Every request between CrewAI and PlanetScale 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
Can I run destructive commands like deleting databases through this AI implementation?
Yes. The integration provides delete_branch and delete_database. They map directly to infrastructure teardowns. You should scope the Service Token carefully inside the PlanetScale dashboard to avoid catastrophic misinterpretations if your explicit intent is just testing. Deletions via delete_database are absolute and irretrievable.
Does `create_branch` replicate and copy my production dataset into the new branch?
No. PlanetScale branches solely duplicate the static underlying DDL structure (schema), exactly like taking a snapshot of empty tables. The new branch boots up free of rows. This design lets your agent freely run ALTER TABLE operations independently without crashing the master tables.
How does the agent know which organizational node I am provisioning my branches on?
All queries essentially require the foundational string parameters known as the org_name. If unknown, a simple list_organizations query reveals the UUID scope dictating your authorized account parameter bounds securely.
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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