How to Use the TaskForce MCP in OpenAI Agents SDK

Q: How do I use TaskForce with the OpenAI Agents SDK?

Your agent auto-discovers the TaskForce tools, so you don't need to write specific connection logic. You just pass the server into the Agent constructor. The built-in guardrails validate every action before it runs, which is critical for production systems.

Q: Can the OpenAI Agents SDK process invoice data?

Absolutely. You can use listtaskforceinvoices to pull a list of all invoices. This helps your agent correlate service usage against billing records. It’s useful for tying up sales quotes with actual payment history.

Q: How do I get lead details using TaskForce and the OpenAI Agents SDK?

You call gettaskforcelead and pass in the specific ID. This gives you a precise snapshot of one lead’s status. This is better than listing all leads if you only care about confirming one account's qualification score.

Q: What steps should I take when managing tasks with TaskForce and the OpenAI Agents SDK?

First, use listtaskforcecustomers to identify potential accounts. Next, if you find a lead, run createtaskforcecase immediately. Finally, your agent can update records based on that case’s outcome.

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Connect TaskForce MCP to OpenAI Agents SDK

Create your Vinkius account to connect TaskForce to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup TaskForce with OpenAI Agents SDK

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Manage customer profiles.

You can retrieve detailed information on any user via `get_taskforce_customer`. This function pulls all relevant details for a specific customer, giving your agent a full 360-degree view. Need to find out who you're dealing with? Use `list_taskforce_customers` to fetch an entire roster of contacts.

Track all sales opportunities.

The `list_taskforce_leads` tool gathers every lead record in the system. This lets your agent quickly check for unassigned or stale accounts that need follow-up. Don't forget about existing deals; you can also run `list_taskforce_quotes` to see all pending pricing proposals.

Handle case creation and tracking.

When a problem pops up, start by calling `create_taskforce_case`. This generates a new ticket for the sales team immediately. For oversight, check out `list_taskforce_cases` to see an aggregated list of all open or closed tickets.

Setup guide

Set up TaskForce MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all TaskForce tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives TaskForce tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate TaskForce tools and returns structured results. Copy the full example on the right to get started.

agent.py

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="TaskForce Agent",
            instructions="You have access to TaskForce tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TaskForce. 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 TaskForce MCP in OpenAI Agents SDK

Your agent auto-discovers the `TaskForce` tools, so you don't need to write specific connection logic. You just pass the server into the Agent constructor. The built-in guardrails validate every action before it runs, which is critical for production systems.

The TaskForce MCP Server touches customer and lead records. This includes names, contact information, associated cases, and billing details. Always ensure your agents handle this PII with proper authorization.

Absolutely. You can use `list_taskforce_invoices` to pull a list of all invoices. This helps your agent correlate service usage against billing records. It’s useful for tying up sales quotes with actual payment history.

You call `get_taskforce_lead` and pass in the specific ID. This gives you a precise snapshot of one lead’s status. This is better than listing all leads if you only care about confirming one account's qualification score.

First, use `list_taskforce_customers` to identify potential accounts. Next, if you find a lead, run `create_taskforce_case` immediately. Finally, your agent can update records based on that case’s outcome.

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