Can I see the status of all nodes in a cluster through the agent?

Yes! Use the `list_cluster_nodes` tool with the unique cluster ID. The agent will return a list of all nodes, their IP addresses, and their current health/operational state.

How do I check for recent scaling or upgrade events on my database?

Use the `list_cluster_operations` tool. Your agent will fetch the management log for the cluster, showing you recent tasks, their progress, and whether they were successful.

Where do I find my CockroachDB Cloud API Secret Key?

Log in to the CockroachDB Cloud Console, navigate to **Access Management**, and select **API Keys**. You can generate and copy a new Secret Key from that section.

CockroachDB Cloud MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: CockroachDB Cloud
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect CockroachDB Cloud through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to CockroachDB Cloud "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in CockroachDB Cloud?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 CockroachDB Cloud MCP Server

Connect your CockroachDB Cloud account to any AI agent and take full control of your distributed SQL infrastructure through natural conversation. Streamline how you monitor and manage your globally-scalable databases natively.

Pydantic AI validates every CockroachDB Cloud tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Cluster Oversight — List and retrieve details for all CockroachDB Cloud clusters including provider and region info natively
Node Intelligence — Access and monitor individual nodes within your clusters to understand health and status flawlessly
Operation Auditing — List and review recent management operations like scaling or upgrades to track changes securely
Network Logistics — Access and monitor network allowlist rules to ensure secure database connectivity flawlessly
Encryption Management — List Customer Managed Keys (CMKs) used for cluster-level data encryption flawlessly
Account Visibility — Retrieve information about your authenticated user profile and organization directly within your workspace

The CockroachDB Cloud MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect CockroachDB Cloud to Pydantic AI via MCP

Follow these steps to integrate the CockroachDB Cloud MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from CockroachDB Cloud with type-safe schemas

Why Use Pydantic AI with the CockroachDB Cloud MCP Server

Pydantic AI provides unique advantages when paired with CockroachDB Cloud through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your CockroachDB Cloud integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your CockroachDB Cloud connection logic from agent behavior for testable, maintainable code

CockroachDB Cloud + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the CockroachDB Cloud MCP Server delivers measurable value.

Type-safe data pipelines: query CockroachDB Cloud with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple CockroachDB Cloud tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query CockroachDB Cloud and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock CockroachDB Cloud responses and write comprehensive agent tests

CockroachDB Cloud MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect CockroachDB Cloud to Pydantic AI via MCP:

get_cluster_cloud_details

Get detailed information for a specific cluster

get_my_cockroach_profile

Retrieve information about the authenticated user/organization

list_cluster_nodes

List all nodes within a specific cluster

list_cluster_operations

List recent management operations for a cluster (e.g. scaling, upgrades)

list_cockroach_clusters

List all CockroachDB Cloud clusters

list_encryption_keys

List Customer Managed Keys (CMKs) used for cluster encryption

list_network_allowlist

List network allowlist rules for a specific cluster

list_supported_cloud_providers

List cloud providers supported by CockroachDB Cloud

Example Prompts for CockroachDB Cloud in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with CockroachDB Cloud immediately.

"List all my CockroachDB clusters."

"Show me the network allowlist for the 'Production-Main' cluster."

"What was the result of the last operation on cluster 'Dev-Sandbox'?"

Troubleshooting CockroachDB Cloud MCP Server with Pydantic AI

Common issues when connecting CockroachDB Cloud to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

CockroachDB Cloud + Pydantic AI FAQ

Common questions about integrating CockroachDB Cloud MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your CockroachDB Cloud MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.