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SingleStore MCP Server for AutoGen 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools Framework

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.

Vinkius supports streamable HTTP and SSE.

python
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())
SingleStore
Fully ManagedVinkius Servers
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 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 with list_databases, and audit billing usage via get_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.

01

Install AutoGen

Run pip install "autogen-ext[mcp]"

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

04

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.

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use SingleStore tools to solve complex tasks

02

Role-based architecture lets you assign SingleStore tool access to specific agents. a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive SingleStore tool calls

04

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.

01

Collaborative analysis: one agent queries SingleStore while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from SingleStore, a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using SingleStore data to make informed decisions about resource distribution

04

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:

01

execute_sql

Use read-only SQL statements whenever possible. Executes a SQL query on a SingleStore database

02

get_billing_usage

Retrieves billing and usage metrics

03

list_databases

Lists all databases within a specific workspace

04

list_organizations

Lists organizations associated with the account

05

list_workspaces

Lists all SingleStore workspaces

06

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.

01

"List all my available workspaces."

02

"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.

01

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

SingleStore + AutoGen FAQ

Common questions about integrating SingleStore MCP Server with AutoGen.

01

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call SingleStore tools during their conversation turns.
02

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

Connect SingleStore to AutoGen

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.