Metaplane MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Metaplane through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Metaplane Assistant",
instructions=(
"You help users interact with Metaplane. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Metaplane"
)
print(result.final_output)
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 Metaplane MCP Server
Connect your Metaplane account to any AI agent and take full control of your data observability and quality through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Metaplane through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Metaplane, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Monitor Oversight — List all configured data monitors and fetch detailed metadata and health statuses
- Incident Management — Retrieve real-time incident histories and track resolutions for data quality alerts
- Automated Execution — Programmatically trigger monitor runs to validate data quality on demand
- Connection Visibility — Enumerate connected databases, warehouses, and schemas to understand your data lineage
- Alert Configuration — List and inspect active notification settings and alert rules
The Metaplane MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Metaplane to OpenAI Agents SDK via MCP
Follow these steps to integrate the Metaplane MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Metaplane
Why Use OpenAI Agents SDK with the Metaplane MCP Server
OpenAI Agents SDK provides unique advantages when paired with Metaplane through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Metaplane + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Metaplane MCP Server delivers measurable value.
Automated workflows: build agents that query Metaplane, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Metaplane, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Metaplane tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Metaplane to resolve tickets, look up records, and update statuses without human intervention
Metaplane MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Metaplane to OpenAI Agents SDK via MCP:
get_account_info
Get account information
get_incident
Get details for a specific incident
get_monitor
Get details for a specific monitor
get_monitor_runs
Get run history for a monitor
list_configured_alerts
List configured alerts
list_connection_schemas
List schemas for a connection
list_data_connections
List all data source connections
list_incidents
List data incidents
list_monitors
List all data monitors
trigger_monitor_run
Trigger a monitor run
Example Prompts for Metaplane in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Metaplane immediately.
"List all my data monitors in Metaplane."
"Show recent incidents for the last 24 hours."
"Trigger a run for monitor ID 'mon_12345'."
Troubleshooting Metaplane MCP Server with OpenAI Agents SDK
Common issues when connecting Metaplane to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Metaplane + OpenAI Agents SDK FAQ
Common questions about integrating Metaplane MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Metaplane 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.
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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 Metaplane to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.