SurrealDB MCP Server for CrewAIGive CrewAI instant access to 16 tools to Create Record, Create Specific Record, Delete All, and more

Name: SurrealDB
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to SurrealDB through Vinkius, pass the Edge URL in the `mcps` parameter and every SurrealDB tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The SurrealDB MCP Server for CrewAI is a standout in the Databases category — giving your AI agent 16 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="SurrealDB Specialist",
    goal="Help users interact with SurrealDB effectively",
    backstory=(
        "You are an expert at leveraging SurrealDB tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in SurrealDB "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 16 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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 SurrealDB MCP Server

Connect your SurrealDB database to any AI agent and take full control of your data layer through natural conversation.

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.

What you can do

SurrealQL Execution — Run raw SurrealQL statements using the execute_sql tool for complex queries and logic.
Record Management — Create, update, and modify records in specific tables with tools like create_record, update_record, or modify_record.
Table Operations — Quickly select_all or delete_all records from a target table to manage your data at scale.
Health Monitoring — Check server status and health metrics using get_status and get_health to ensure uptime.
Data Portability — Use import_sql and export_data to move information in and out of your instance seamlessly.

The SurrealDB MCP Server exposes 16 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 16 SurrealDB tools available for CrewAI

When CrewAI connects to SurrealDB through Vinkius, your AI agent gets direct access to every tool listed below — spanning multi-model, surrealql, graph-database, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create record on SurrealDB

Create a record with a random ID

create

Create specific record on SurrealDB

Create a specific record

delete

Delete all on SurrealDB

Delete all records in a table

delete

Delete record on SurrealDB

Delete a specific record

execute

Execute sql on SurrealDB

Can pass variables via URL query parameters. Execute SurrealQL statements

export

Export data on SurrealDB

Export data

get

Get health on SurrealDB

Check SurrealDB health

get

Get status on SurrealDB

Check SurrealDB web server status

get

Get version on SurrealDB

Get SurrealDB version

import

Import sql on SurrealDB

Import SurrealQL queries

modify

Modify all on SurrealDB

Modify all records in a table (Merge)

modify

Modify record on SurrealDB

Modify a specific record (Merge)

select

Select all on SurrealDB

Select all records in a table

select

Select record on SurrealDB

Select a specific record

update

Update all on SurrealDB

Update all records in a table

update

Update record on SurrealDB

Update a specific record

Connect SurrealDB to CrewAI via MCP

Follow these steps to wire SurrealDB into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 16 tools from SurrealDB

Why Use CrewAI with the SurrealDB MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with SurrealDB through the Model Context Protocol.

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 `mcps` parameter 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 + CrewAI Use Cases

Practical scenarios where CrewAI combined with the SurrealDB MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries SurrealDB for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries SurrealDB, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain SurrealDB tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries SurrealDB against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for SurrealDB in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with SurrealDB immediately.

"Check the health and version of my SurrealDB server."

"Select all records from the 'users' table."

"Execute a SurrealQL query to find all posts where status is 'published'."

Troubleshooting SurrealDB MCP Server with CrewAI

Common issues when connecting SurrealDB to CrewAI through Vinkius, and how to resolve them.

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.

SurrealDB + CrewAI FAQ

Common questions about integrating SurrealDB MCP Server with CrewAI.

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.

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