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Healthchecks.io MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 13 tools to Create Check, Delete Check, Get Check, and more

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Healthchecks.io 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 for OpenAI Agents SDK

The Healthchecks.io MCP Server for OpenAI Agents SDK is a standout in the Developer Tools category — giving your AI agent 13 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
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="Healthchecks.io Assistant",
            instructions=(
                "You help users interact with Healthchecks.io. "
                "You have access to 13 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Healthchecks.io"
        )
        print(result.final_output)

asyncio.run(main())
Healthchecks.io
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 Healthchecks.io MCP Server

Connect your Healthchecks.io account to any AI agent to monitor and manage your cron jobs, background tasks, and scheduled services through natural conversation.

The OpenAI Agents SDK auto-discovers all 13 tools from Healthchecks.io through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Healthchecks.io, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Check Management — List, create, update, and delete monitoring checks for your infrastructure
  • Ping History — Inspect recent pings and payloads to debug failed tasks or verify successful executions
  • Status Monitoring — Pause or resume checks and track status 'flips' (up/down transitions) over time
  • Integration Overview — List configured notification channels to ensure your team is alerted correctly
  • Deep Inspection — Fetch specific check metadata and ping bodies to understand exactly why a service is failing

The Healthchecks.io MCP Server exposes 13 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 13 Healthchecks.io tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Healthchecks.io through Vinkius, your AI agent gets direct access to every tool listed below — spanning cron-jobs, uptime-monitoring, background-tasks, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create check on Healthchecks.io

Use the unique field to upsert if it already exists. Create a new check

delete

Delete check on Healthchecks.io

Delete a check

get

Get check on Healthchecks.io

Get a single check by UUID or unique key

get

Get ping body on Healthchecks.io

Get the body of a specific ping

get

Get status on Healthchecks.io

Check the Healthchecks.io service status

list

List badges on Healthchecks.io

io status badges. List all status badges for the project

list

List checks on Healthchecks.io

Can be filtered by tags or slug. List all checks in the project

list

List flips on Healthchecks.io

List status changes (flips) for a check

list

List integrations on Healthchecks.io

List all integrations (channels) in the project

list

List pings on Healthchecks.io

List recent pings for a check

pause

Pause check on Healthchecks.io

Pause a check

resume

Resume check on Healthchecks.io

Resume a check

update

Update check on Healthchecks.io

Update an existing check

Connect Healthchecks.io to OpenAI Agents SDK via MCP

Follow these steps to wire Healthchecks.io into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 13 tools from Healthchecks.io

Why Use OpenAI Agents SDK with the Healthchecks.io MCP Server

OpenAI Agents SDK provides unique advantages when paired with Healthchecks.io through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Healthchecks.io + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Healthchecks.io MCP Server delivers measurable value.

01

Automated workflows: build agents that query Healthchecks.io, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Healthchecks.io, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Healthchecks.io tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Healthchecks.io to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Healthchecks.io in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Healthchecks.io immediately.

01

"List all my active checks and their current status."

02

"Show me the last 5 pings for check uuid '550e8400-e29b-41d4-a716-446655440000'."

03

"Create a new check named 'Database Backup' with a 24-hour timeout."

Troubleshooting Healthchecks.io MCP Server with OpenAI Agents SDK

Common issues when connecting Healthchecks.io to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Healthchecks.io + OpenAI Agents SDK FAQ

Common questions about integrating Healthchecks.io MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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