How to Use the CockroachDB Cloud MCP in Pydantic AI
Run type-safe CockroachDB Cloud operations with Pydantic AI agents that validate every database response at runtime.
Works with every AI agent you already use
…and any MCP-compatible client
Connect CockroachDB Cloud MCP to Pydantic AI
Create your Vinkius account to connect CockroachDB Cloud to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Validate database cluster states with Pydantic AI
Never trust unstructured LLM outputs when managing databases. Your MCP-enabled agent calls `get_cluster_cloud_details` and `get_my_cockroach_profile` to pull cluster metadata, validating the response schema instantly. If the API returns unexpected fields, Pydantic AI raises a validation error immediately. This prevents your agent from acting on corrupted or hallucinated database states.
Safe network perimeter checks using an MCP Server
Secure your database connections without silent failures. Your agent queries `list_network_allowlist` and parses the allowed IP addresses against strict Pydantic IP models. This ensures your network rules strictly match your security policies. The agent rejects any input that fails validation, keeping your cloud firewall rules perfectly predictable.
Track cluster scaling and key management safely
Monitor active upgrades with confidence. The agent runs `list_cluster_operations` and `list_encryption_keys` to track running tasks and customer-managed keys. Every operation payload is parsed into typed Python models. Your agent won't mistake a pending upgrade for a completed one because the status field is strictly validated at runtime.
Set up CockroachDB Cloud MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"cockroachdb-cloud-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to CockroachDB Cloud tools.",
)
result = await agent.run("List recent CockroachDB Cloud transactions")
print(result.output) 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about CockroachDB Cloud MCP in Pydantic AI
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