SingleStore MCP Server for AutoGen 6 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add SingleStore as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="singlestore_agent",
tools=tools,
system_message=(
"You help users with SingleStore. "
"6 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use SingleStore tools. Connect 6 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the SingleStore MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 6 tools from SingleStore automatically
Why Use AutoGen with the SingleStore MCP Server
AutoGen provides unique advantages when paired with SingleStore through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use SingleStore tools to solve complex tasks
Role-based architecture lets you assign SingleStore tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive SingleStore tool calls
Code execution sandbox: AutoGen agents can write and run code that processes SingleStore tool responses in an isolated environment
SingleStore + AutoGen Use Cases
Practical scenarios where AutoGen combined with the SingleStore MCP Server delivers measurable value.
Collaborative analysis: one agent queries SingleStore while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from SingleStore, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using SingleStore data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process SingleStore responses in a sandboxed execution environment
SingleStore MCP Tools for AutoGen (6)
These 6 tools become available when you connect SingleStore to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting SingleStore to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"SingleStore + AutoGen FAQ
Common questions about integrating SingleStore MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
