Bring Multi Model
to CrewAI
Learn how to connect SurrealDB to CrewAI and start using 16 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the SurrealDB MCP Server?
Connect your SurrealDB database to any AI agent and take full control of your data layer through natural conversation.
What you can do
- SurrealQL Execution — Run raw SurrealQL statements using the
execute_sqltool for complex queries and logic. - Record Management — Create, update, and modify records in specific tables with tools like
create_record,update_record, ormodify_record. - Table Operations — Quickly
select_allordelete_allrecords from a target table to manage your data at scale. - Health Monitoring — Check server status and health metrics using
get_statusandget_healthto ensure uptime. - Data Portability — Use
import_sqlandexport_datato move information in and out of your instance seamlessly.
How it works
- Subscribe to this server
- Enter your SurrealDB URL and credentials (NS, DB, and Auth)
- Start managing your multi-model database from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Backend Developers — test queries and inspect database state without switching windows.
- Data Engineers — perform quick data migrations or schema inspections via natural language.
- Product Managers — query business metrics directly from the database using SurrealQL.
Built-in capabilities (16)
Create a record with a random ID
Create a specific record
Delete all records in a table
Delete a specific record
Can pass variables via URL query parameters. Execute SurrealQL statements
Export data
Check SurrealDB health
Check SurrealDB web server status
Get SurrealDB version
Import SurrealQL queries
Modify all records in a table (Merge)
Modify a specific record (Merge)
Select all records in a table
Select a specific record
Update all records in a table
Update a specific record
Why CrewAI?
When paired with CrewAI, SurrealDB becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call SurrealDB 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
SurrealDB in CrewAI
SurrealDB and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect SurrealDB to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for SurrealDB in CrewAI
The SurrealDB 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. All 16 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
SurrealDB for CrewAI
Every tool call from CrewAI to the SurrealDB MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I run custom SurrealQL queries with variables?
Yes! Use the execute_sql tool. You can provide the raw SQL string and an optional JSON object of variables to be used in the query.
How do I check if my SurrealDB instance is online and healthy?
You can use the get_status tool to check the web server status or get_health to verify that both the server and the storage engine are functioning correctly.
Is it possible to delete all records from a specific table at once?
Yes, the delete_all tool allows you to remove all records from a specified table in a single operation.
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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