Bring Sqlite
to CrewAI
Create your Vinkius account to connect Turso 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 Turso MCP Server?
Connect your Turso account to any AI agent and take full control of your serverless SQLite infrastructure through natural conversation.
What you can do
- Organizations & Locations — Identify root organizational tenants and lookup physical global Fly.io datacenter mappings
- Databases & Groups — Enumerate the complete libSQL Edge Database registry and logical groups orchestrating DB locations
- Database Management — Provision a massively distributed database, retrieve architectural metadata, and permanently delete instances
- Security & Tokens — Mints secure connection tokens, list active execution JWTs, and rotate database keys to block old tokens instantly
How it works
- Subscribe to this server
- Enter your Turso API Token
- Start managing your edge databases from Claude, Cursor, or any MCP-compatible client
No more context-switching between the terminal and your workspace. Your AI agent becomes your database operations command center.
Who is this for?
- Platform engineers — monitor global database fleets, rotate compromised tokens, and check replica regions in seconds
- Backend developers — provision new test environments on the fly and verify libSQL metadata without leaving the IDE
- DevOps teams — quickly script group migrations and validate token expirations via AI
- System administrators — identify zombie databases and clean up unused serverless resources efficiently
Built-in capabilities (10)
Provide the organization slug, database name, and target group. Provision a massively distributed Serverless SQLite database
Mint a secure connection Token tied strictly to a specific DB
This action is irreversible. Permanently deletes a global libSQL database
Introspect exact architectural traits of one target libSQL instance
Get Turso logical groups orchestrating DB locations
List active Database execution JWT Tokens
Enumerate the complete libSQL Edge Database registry
Lookup physical global Fly.io datacenter mappings (Locations)
Identify Turso Edge SQLite root organizational tenants
Revoke all pre-existing Tokens for a database
Why CrewAI?
When paired with CrewAI, Turso becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Turso 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
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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
Turso in CrewAI
Why run Turso with Vinkius?
The Turso 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 Turso using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Turso and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Turso 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
Turso for CrewAI
Every request between CrewAI and Turso 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 my AI agent provision a new database in a specific edge location?
Yes. You can ask your agent to list available edge locations first, and then instruct it to create a new database in a logical group hosted in that region. Ensure you provide the target group name so the database is correctly allocated to your application fleet.
How can I quickly revoke database access if a token is compromised?
Simply ask your agent to invalidate or rotate the tokens for that specific database name. The AI will hit the /invalidate endpoint, blocking all old tokens instantly. Afterwards, you can ask for a fresh secure token with a 24-hour expiration.
Can the agent check if I am approaching my dataset limits?
Yes. When querying the details of a specific database, the agent retrieves storage metadata and group allocation facts. You can ask the AI to summarize your database sizes and flags to see which instances might need an upgrade or clean-up.
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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