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

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect CockroachDB Cloud through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "cockroachdb-cloud": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using CockroachDB Cloud, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
CockroachDB Cloud
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60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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.

LangChain's ecosystem of 500+ components combines seamlessly with CockroachDB Cloud through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 8 tools from CockroachDB Cloud via MCP

Why Use LangChain with the CockroachDB Cloud MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine CockroachDB Cloud MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across CockroachDB Cloud queries for multi-turn workflows

CockroachDB Cloud + LangChain Use Cases

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

01

RAG with live data: combine CockroachDB Cloud tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query CockroachDB Cloud, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain CockroachDB Cloud tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every CockroachDB Cloud tool call, measure latency, and optimize your agent's performance

CockroachDB Cloud MCP Tools for LangChain (8)

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

01

get_cluster_cloud_details

Get detailed information for a specific cluster

02

get_my_cockroach_profile

Retrieve information about the authenticated user/organization

03

list_cluster_nodes

List all nodes within a specific cluster

04

list_cluster_operations

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

05

list_cockroach_clusters

List all CockroachDB Cloud clusters

06

list_encryption_keys

List Customer Managed Keys (CMKs) used for cluster encryption

07

list_network_allowlist

List network allowlist rules for a specific cluster

08

list_supported_cloud_providers

List cloud providers supported by CockroachDB Cloud

Example Prompts for CockroachDB Cloud in LangChain

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

01

"List all my CockroachDB clusters."

02

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

03

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

Troubleshooting CockroachDB Cloud MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

CockroachDB Cloud + LangChain FAQ

Common questions about integrating CockroachDB Cloud MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect CockroachDB Cloud to LangChain

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.