TaskForce MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 9 tools to Create Taskforce Case, Create Taskforce Lead, Get Taskforce Customer, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect TaskForce through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The TaskForce app connector for OpenAI Agents SDK is a standout in the Sales Automation category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="TaskForce Assistant",
instructions=(
"You help users interact with TaskForce. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from TaskForce"
)
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 TaskForce MCP Server
Connect your AI agent to TaskForce to natively manage your CRM workflow, customer interactions, and invoicing through natural language commands.
The OpenAI Agents SDK auto-discovers all 9 tools from TaskForce through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries TaskForce, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Lead & Customer Management — Query lists of active leads, fetch detailed customer profiles, and instantly create new lead records on the fly.
- Case Tracking — Read and track support or business cases, and generate new cases directly from your chat interface.
- Financial Overview — Pull real-time lists of pending invoices and active quotes to monitor business performance without opening a dashboard.
The TaskForce MCP Server exposes 9 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.
All 9 TaskForce tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to TaskForce through Vinkius, your AI agent gets direct access to every tool listed below — spanning lead-management, case-tracking, invoicing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new case
Create a new lead
Get customer details
Get lead details
List all cases
List all customers
List all invoices
List all leads
List all quotes
Connect TaskForce to OpenAI Agents SDK via MCP
Follow these steps to wire TaskForce into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the TaskForce MCP Server
OpenAI Agents SDK provides unique advantages when paired with TaskForce 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
TaskForce + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the TaskForce MCP Server delivers measurable value.
Automated workflows: build agents that query TaskForce, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries TaskForce, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through TaskForce tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query TaskForce to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for TaskForce in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with TaskForce immediately.
"List all active leads in my TaskForce account."
"Create a new lead for John Doe (john@example.com)."
"Fetch the latest invoices and quotes."
Troubleshooting TaskForce MCP Server with OpenAI Agents SDK
Common issues when connecting TaskForce to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
TaskForce + OpenAI Agents SDK FAQ
Common questions about integrating TaskForce 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.