PlanetScale MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add PlanetScale 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="planetscale_agent",
tools=tools,
system_message=(
"You help users with PlanetScale. "
"10 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 PlanetScale MCP Server
Empower your AI agents to manage your PlanetScale serverless infrastructure seamlessly. Leverage the power of Vitess-backed MySQL without leaving your IDE. Ask your AI to branch a production database for testing, list regions, or drop obsolete schema forks instantly.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use PlanetScale tools. Connect 10 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
- Database Provisioning — Instantly list (
list_databases), inspect, create (create_database), or destroy serverless MySQL clusters running across global regions. - Branch Management — Harness PlanetScale's Git-like schema workflows. Direct your LLM to spawn a temporary
shadow-testbranch cloned frommain(create_branch), allowing consequence-free migrations before orchestrating Deploy Requests. - Infrastructure Exploration — Discover strict organizational IDs (
list_organizations) and query available physical cloud provider edges (list_regions) to optimize latency targets.
The PlanetScale MCP Server exposes 10 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 PlanetScale to AutoGen via MCP
Follow these steps to integrate the PlanetScale 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 10 tools from PlanetScale automatically
Why Use AutoGen with the PlanetScale MCP Server
AutoGen provides unique advantages when paired with PlanetScale through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use PlanetScale tools to solve complex tasks
Role-based architecture lets you assign PlanetScale 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 PlanetScale tool calls
Code execution sandbox: AutoGen agents can write and run code that processes PlanetScale tool responses in an isolated environment
PlanetScale + AutoGen Use Cases
Practical scenarios where AutoGen combined with the PlanetScale MCP Server delivers measurable value.
Collaborative analysis: one agent queries PlanetScale while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from PlanetScale, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using PlanetScale data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process PlanetScale responses in a sandboxed execution environment
PlanetScale MCP Tools for AutoGen (10)
These 10 tools become available when you connect PlanetScale to AutoGen via MCP:
create_branch
Does *not* duplicate data (creates an empty schema clone of the parent) for secure CI testing uncoupled entirely from `main` load balancing layers. Fork a PlanetScale schema mapping to a new isolated Branch
create_database
Creates empty environments ready to execute explicit DDL definitions via non-blocking Deploy Requests. Provision a radically scalable Serverless Database instance
delete_branch
Utilized constantly within CI/CD pipelines following a successful Deploy Request morphing `main` schema structure directly. Purge an obsolete Git-like Schema testing ground
delete_database
Dropping the database effectively wipes terabytes of records scattered globally. Fails fully if unacknowledged connection logic binds it. Destroy a PlanetScale MySQL construct irreversibly
get_branch
Returns access hostnames for code integration. Deconstruct the layout of a single explicit Database Branch
get_database
Analyze core configuration of a specific MySQL cluster logic
list_branches
Essential for migrating schemas without locking production reads/writes. List Development Database Branches mirroring Prod architectures
list_databases
Retrieves explicitly mapping IDs orchestrating distributed Vitess backend shards. List high-availability PlanetScale MySQL DB distributions
list_organizations
Used solely to resolve the foundational string key prerequisite for all subsequent MySQL endpoint management. List root PlanetScale organizational identifiers
list_regions
Critical reference required during new Database/Branch physical provisioning routines. Locate physical edge availability zones supported by Vitess
Example Prompts for PlanetScale in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with PlanetScale immediately.
"List all physical cloud regions currently exposed by the PlanetScale integration."
"We're starting a new feature. Fork testing branch from the main database 'store-backend'."
"Drop the specific 'staging-01' branch inside the 'web-portal' database."
Troubleshooting PlanetScale MCP Server with AutoGen
Common issues when connecting PlanetScale to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"PlanetScale + AutoGen FAQ
Common questions about integrating PlanetScale 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 PlanetScale 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 PlanetScale to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.