How to Use the Geekbot MCP in OpenAI Agents SDK
Build production OpenAI Agents SDK pipelines that automatically handle async standups and fetch Slack updates using Geekbot.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Geekbot MCP to OpenAI Agents SDK
Create your Vinkius account to connect Geekbot to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automate check-ins via OpenAI Agents SDK
The `submit_standup_report` tool allows your OpenAI Agents SDK agent to programmatically post status updates directly to active Slack channels. Your OpenAI Agents SDK pipeline triggers this Geekbot tool whenever a code deployment finishes, ensuring your team gets status updates without manual writing.
Audit team progress with MCP Server data
The `list_standup_reports` tool retrieves historical Geekbot submissions filtered by date directly into your OpenAI Agents SDK workflow. Your OpenAI Agents SDK system parses these Geekbot logs to extract blockers and feed high-priority issues directly into your agentic triage.
Verify active workspace participants
The `list_team_members` tool fetches the active roster of your Slack workspace for use in your OpenAI Agents SDK pipeline. Your OpenAI Agents SDK system uses this Geekbot list to map Slack handles to internal database IDs before assigning follow-up tasks.
Set up Geekbot MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Geekbot tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Geekbot tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Geekbot tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Geekbot Agent",
instructions="You have access to Geekbot tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main())Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Geekbot. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Geekbot MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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