SingleStore MCP Server for LangChain 6 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect SingleStore 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({
"singlestore": {
"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 SingleStore, 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 SingleStore MCP Server
Grant your AI agent (like Claude or Cursor) absolute read-and-write sovereignty over your SingleStore infrastructure. The SingleStore MCP equips your LLM to act as a fully autonomous database administrator. Stop navigating external dashboards to check schema details or run complex search queries.
LangChain's ecosystem of 500+ components combines seamlessly with SingleStore through native MCP adapters. Connect 6 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
- Execute SQL Queries — Execute raw SQL natively from your AI agent using
execute_sql. - Semantic Vector Search — Perform semantic vector similarity searches natively against your data with
vector_search. - Workspace & Billing Administration — Survey your server clusters with
list_workspaces, list databases withlist_databases, and audit billing usage viaget_billing_usage.
The SingleStore MCP Server exposes 6 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 SingleStore to LangChain via MCP
Follow these steps to integrate the SingleStore 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 6 tools from SingleStore via MCP
Why Use LangChain with the SingleStore MCP Server
LangChain provides unique advantages when paired with SingleStore through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine SingleStore 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 SingleStore queries for multi-turn workflows
SingleStore + LangChain Use Cases
Practical scenarios where LangChain combined with the SingleStore MCP Server delivers measurable value.
RAG with live data: combine SingleStore tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query SingleStore, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain SingleStore tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every SingleStore tool call, measure latency, and optimize your agent's performance
SingleStore MCP Tools for LangChain (6)
These 6 tools become available when you connect SingleStore to LangChain via MCP:
execute_sql
Use read-only SQL statements whenever possible. Executes a SQL query on a SingleStore database
get_billing_usage
Retrieves billing and usage metrics
list_databases
Lists all databases within a specific workspace
list_organizations
Lists organizations associated with the account
list_workspaces
Lists all SingleStore workspaces
vector_search
Performs a DOT_PRODUCT vector similarity search
Example Prompts for SingleStore in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with SingleStore immediately.
"List all my available workspaces."
"List all databases within workspace ID 1234, and then find the first 5 records in 'users_db'."
Troubleshooting SingleStore MCP Server with LangChain
Common issues when connecting SingleStore to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersSingleStore + LangChain FAQ
Common questions about integrating SingleStore 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 SingleStore 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 SingleStore to LangChain
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.