How to Use the Metaplane MCP in AutoGen
Build AutoGen agent debates to resolve Metaplane data quality incidents automatically.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Metaplane MCP to AutoGen
Create your Vinkius account to connect Metaplane to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Coordinate Metaplane triage debates in AutoGen
Your AutoGen triage agent calls `list_incidents` to identify active data quality issues and shares the details with a specialist debugging agent. The debugging agent then calls `get_incident` to analyze the root cause, debating the priority of the fix with your performance agent. This multi-agent conversation ensures that critical schema changes aren't ignored. The agents negotiate whether to pause downstream jobs or trigger immediate alerts based on the severity metrics returned by the server.
Automate monitor verification via this MCP Server
An AutoGen supervisor agent uses this MCP Server to execute `trigger_monitor_run` after a database migration. A validation agent then monitors `get_monitor_runs` to verify the run succeeded before giving the green light to proceed. By separating the trigger and verification roles between distinct AutoGen agents, you eliminate single-point-of-failure scripts. The agents cross-reference the results against your active `list_monitors` configuration to guarantee compliance.
Map connection schemas using AutoGen agent teams
Your database agent queries `list_data_connections` and passes the active connections to a schema agent. The schema agent then calls `list_connection_schemas` to verify that all required tables exist and match the expected structures. If a discrepancy is found, the agents collaborate to draft a fix, querying `list_configured_alerts` to find the correct team channel for escalation. This cooperative workflow keeps your data infrastructure aligned without manual developer oversight.
Set up Metaplane MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Metaplane tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Metaplane_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Metaplane data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Metaplane_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Metaplane data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Metaplane. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Metaplane MCP in AutoGen
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