How to Use the CockroachDB Cloud MCP in CrewAI

Q: How do I add this CockroachDB Cloud MCP Server to a CrewAI agent?

Install the required tools with pip install crewai "crewaitools". After that, pass the Vinkius URL directly into your Agent's mcps array parameter.

Q: Can a specialized CrewAI agent restrict which CockroachDB Cloud tools it can run?

Yes, you can use MCPServerHTTP from the CrewAI package to filter tools. This limits your database monitor agent to read-only tools like listcockroachclusters while keeping administrative actions hidden.

Let your CrewAI agent teams provision, monitor, and secure distributed CockroachDB Cloud clusters autonomously using this dedicated MCP Server.

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Connect CockroachDB Cloud MCP to CrewAI

Create your Vinkius account to connect CockroachDB Cloud to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup CockroachDB Cloud with CrewAI

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Autonomous Node Monitoring and Remediation

Expose database node health to your agent crew using `list_cluster_nodes` to audit cluster status without human intervention. By handing this tool to your specialized monitoring agents, they can watch for offline nodes and flag bottlenecks in real time. When a node misbehaves, another agent in the crew can run `list_cluster_operations` to see if a maintenance window or scaling event is causing the issue. This setup allows your teams to diagnose infrastructure hiccups before they impact your database.

Automated Allowlist Auditing with CrewAI

Audit firewall configurations instantly by pointing your security agents to `list_network_allowlist` to track active IP rules. If a mismatch is found, the agent flags the discrepancy for immediate human review. This MCP Server lets your defensive crew cross-reference database firewall rules against your known cloud assets. Your agents run these checks on a loop, keeping your distributed SQL setup locked down.

Multi-Agent Cluster Provisioning

Coordinate multi-region database deployments by letting one agent query `list_supported_cloud_providers` while another handles cluster configuration. They share memory to pass cluster details from `get_cluster_cloud_details` directly to the deployment task. Your crew coordinates the entire setup from start to finish, checking `get_my_cockroach_profile` to ensure billing and organization limits aren't exceeded. The entire pipeline runs without you writing custom glue code.

Setup guide

Set up CockroachDB Cloud MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke CockroachDB Cloud tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="CockroachDB Cloud Analyst",
    goal="Access and analyze CockroachDB Cloud data via MCP.",
    backstory="Expert analyst with direct CockroachDB Cloud access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent CockroachDB Cloud transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="CockroachDB Cloud Analyst",
        goal="Access and analyze CockroachDB Cloud data via MCP.",
        backstory="Expert analyst with direct CockroachDB Cloud access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent CockroachDB Cloud transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CockroachDB Cloud. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about CockroachDB Cloud MCP in CrewAI

Install the required tools with `pip install crewai "crewai[tools]"`. After that, pass the Vinkius URL directly into your Agent's `mcps` array parameter.

Yes, you can use `MCPServerHTTP` from the CrewAI package to filter tools. This limits your database monitor agent to read-only tools like `list_cockroach_clusters` while keeping administrative actions hidden.

CrewAI agents share memory and can be configured with rate limiters on tool execution. This prevents your agents from spamming `list_cluster_operations` and hitting API thresholds.

Yes, as long as the Vinkius environment can resolve the API endpoint. The MCP Server uses `list_network_allowlist` to verify connectivity paths and ensure your agents can communicate with the cluster.

The MCP Server only touches cluster metadata, node statuses, KMS configuration via `list_encryption_keys`, and network allowlists. Your actual SQL table data remains completely isolated and untouched by the AI.

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