CockroachDB Cloud MCP Server for LangChain 8 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
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.
The largest ecosystem of integrations, chains, and agents. combine CockroachDB Cloud MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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.
RAG with live data: combine CockroachDB Cloud tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query CockroachDB Cloud, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain CockroachDB Cloud tools with web scrapers, databases, and calculators in a single agent run
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:
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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting CockroachDB Cloud to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCockroachDB Cloud + LangChain FAQ
Common questions about integrating CockroachDB Cloud MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect CockroachDB Cloud with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
