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 LlamaIndex 8 tools — connect in under 2 minutes

Name: CockroachDB Cloud
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add CockroachDB Cloud as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to CockroachDB Cloud. "
            "You have 8 tools available."
        ),
    )

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

asyncio.run(main())

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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 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.

LlamaIndex agents combine CockroachDB Cloud tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the CockroachDB Cloud MCP Server

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

Data-first architecture: LlamaIndex agents combine CockroachDB Cloud tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain CockroachDB Cloud tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query CockroachDB Cloud, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what CockroachDB Cloud tools were called, what data was returned, and how it influenced the final answer

CockroachDB Cloud + LlamaIndex Use Cases

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

Hybrid search: combine CockroachDB Cloud real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query CockroachDB Cloud to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying CockroachDB Cloud for fresh data

Analytical workflows: chain CockroachDB Cloud queries with LlamaIndex's data connectors to build multi-source analytical reports

CockroachDB Cloud MCP Tools for LlamaIndex (8)

These 8 tools become available when you connect CockroachDB Cloud to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

CockroachDB Cloud + LlamaIndex FAQ

Common questions about integrating CockroachDB Cloud MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query CockroachDB Cloud tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.