How to Use the CockroachDB Cloud MCP in AutoGen

Q: How do I register the CockroachDB Cloud MCP Server inside an AutoGen conversational workflow?

Install the extension package using pip install -U "autogen-extmcp". Use mcpservertools with your Vinkius connection URL and pass the tools directly to your AssistantAgent constructor. The MCP adapter converts the schemas automatically so your agents can start calling database commands immediately.

Q: What happens if an agent tries to modify a network allowlist?

This MCP server only exposes read-only tools like listnetworkallowlist to inspect your configuration. Your agents can flag non-compliant IPs and debate security risks, but they cannot write destructive changes. This keeps your production clusters safe from autonomous mistakes.

Q: How do agents handle multi-cloud cluster mapping?

Agents use listsupportedcloudproviders alongside getclusterclouddetails to map out where your data lives. They can identify if a cluster runs on a specific provider and coordinate your application deployments to match those exact regions.

Let your AutoGen agents debate cluster topologies and audit network allowlists directly within your multi-agent conversations.

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Connect CockroachDB Cloud MCP to AutoGen

Create your Vinkius account to connect CockroachDB Cloud to AutoGen 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 AutoGen

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Secure cluster access via AutoGen agent debates

The `list_network_allowlist` tool lets your security agent inspect active firewall rules while your deployment agent checks node layouts. Instead of blindly opening ports, your AutoGen agents can argue over whether a specific IP range violates your corporate policies. They negotiate the safest configuration before writing any deployment scripts. By calling `list_encryption_keys`, the security agent verifies if customer-managed keys protect your storage. If a key is missing, the agent halts the pipeline and alerts your team, keeping your distributed SQL database locked down.

Track live migrations and cluster operations

The `list_cluster_operations` tool exposes active scaling events, schema migrations, and version upgrades to your monitoring agents. When a performance agent detects a latency spike, it queries this tool to see if a background rebalance is the root cause. This prevents your agents from making bad assumptions during live incidents. Your agents use `list_cluster_nodes` to pinpoint which specific nodes are struggling or offline. They can cross-reference node status with cloud provider data from `list_supported_cloud_providers` to decide if they need to spin up resources in a different region.

Coordinate multi-region setups with this MCP Server

The `list_cockroach_clusters` tool gives your coordinator agent a bird's-eye view of your entire database footprint. Your planning agent can find the closest active cluster when setting up a new service, preventing unnecessary cross-region latency. To drill down into specific hardware configurations, the agent executes `get_cluster_cloud_details`. Your AutoGen agents can debate whether a serverless cluster fits your budget or if a dedicated instance is required for the workload.

Setup guide

Set up CockroachDB Cloud MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes CockroachDB Cloud tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="CockroachDB Cloud_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent CockroachDB Cloud data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="CockroachDB Cloud_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent CockroachDB Cloud data")
    print(result.messages[-1].content)

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 AutoGen

Install the extension package using `pip install -U "autogen-ext[mcp]"`. Use `mcp_server_tools` with your Vinkius connection URL and pass the tools directly to your `AssistantAgent` constructor. The MCP adapter converts the schemas automatically so your agents can start calling database commands immediately.

Yes, that is how this setup shines. Your performance agent can run `list_cluster_operations` and `list_cluster_nodes` to check if a cluster is struggling. It can then debate with a budget-monitoring agent to decide if scaling up is financially viable before prompting you for approval.

This MCP server only exposes read-only tools like `list_network_allowlist` to inspect your configuration. Your agents can flag non-compliant IPs and debate security risks, but they cannot write destructive changes. This keeps your production clusters safe from autonomous mistakes.

Agents use `list_supported_cloud_providers` alongside `get_cluster_cloud_details` to map out where your data lives. They can identify if a cluster runs on a specific provider and coordinate your application deployments to match those exact regions.

Vinkius runs the server in an isolated, ephemeral V8 sandbox, meaning your API tokens and network allowlist details are never stored or exposed to external LLMs. Only the raw JSON responses from tools like `get_my_cockroach_profile` flow directly to your local runtime. Your database connection strings and actual table data remain completely untouched and secure.

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