Collect 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 Collect 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="Collect Assistant",
instructions=(
"You help users interact with Collect. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Collect"
)
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 Collect MCP Server
Connect your AI to Collect, the secure platform for gathering information and documents from clients.
The OpenAI Agents SDK auto-discovers all 10 tools from Collect through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Collect, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Campaign Management — List active data collection campaigns and check their completion status.
- Request Sending — Send new data requests to clients by email for KYC, onboarding, or compliance workflows.
- Status Tracking — Check the status of individual requests, view messages, and monitor completion.
The Collect 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 Collect to OpenAI Agents SDK via MCP
Follow these steps to integrate the Collect 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 Collect
Why Use OpenAI Agents SDK with the Collect MCP Server
OpenAI Agents SDK provides unique advantages when paired with Collect 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
Collect + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Collect MCP Server delivers measurable value.
Automated workflows: build agents that query Collect, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Collect, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Collect tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Collect to resolve tickets, look up records, and update statuses without human intervention
Collect MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Collect to OpenAI Agents SDK via MCP:
create_request
Send a new data collection request to a recipient
get_campaign
Retrieve detailed information about a specific campaign
get_element_details
Retrieve details of a specific element (field/block) in a request
get_request
Retrieve details of a specific data request
get_team_info
Retrieve information about your team in Collect
get_user_info
Retrieve information about the currently authenticated user
list_campaigns
Retrieve a list of all data collection campaigns in Collect
list_messages
Retrieve a list of messages sent through Collect
list_requests
Retrieve all data requests for a specific campaign
send_message
Send a message to a recipient regarding a specific request
Example Prompts for Collect in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Collect immediately.
"Show me all active data collection campaigns."
"Send a data request to 'John Doe' (john@example.com) for the 'KYC Process' campaign."
"Send an automatic reminder to all clients with missing documents in the 'Tax 2025' campaign."
Troubleshooting Collect MCP Server with OpenAI Agents SDK
Common issues when connecting Collect to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Collect + OpenAI Agents SDK FAQ
Common questions about integrating Collect 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 Collect 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.
AI-first code editor with integrated LLM-powered coding assistance.
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 Collect to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.