Cloze MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Cloze through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
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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="Cloze Assistant",
instructions=(
"You help users interact with Cloze. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Cloze"
)
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 Cloze MCP Server
Cloze is a smart CRM that automatically tracks your interactions and provides AI-powered insights to manage your relationships, projects, and deals. Through this MCP server, your AI agent can effortlessly pull contact histories, lookup custom tags, verify relationship strengths, and update ongoing project states without breaking your workflow.
The OpenAI Agents SDK auto-discovers all 9 tools from Cloze through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Cloze, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
The Cloze 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.
How to Connect Cloze to OpenAI Agents SDK via MCP
Follow these steps to integrate the Cloze 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 9 tools from Cloze
Why Use OpenAI Agents SDK with the Cloze MCP Server
OpenAI Agents SDK provides unique advantages when paired with Cloze 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
Cloze + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Cloze MCP Server delivers measurable value.
Automated workflows: build agents that query Cloze, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Cloze, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Cloze tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Cloze to resolve tickets, look up records, and update statuses without human intervention
Cloze MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Cloze to OpenAI Agents SDK via MCP:
create_person
Provide at least name or email. Create a new person in Cloze
create_project
Create a new project, deal, or property in Cloze
get_person
Retrieve detailed information about a specific person by email
list_companies
Retrieve a list of companies from Cloze
list_custom_fields
Retrieve definitions for custom fields in your Cloze account
list_people
Retrieve a list of people (contacts) from Cloze
list_projects
Retrieve a list of projects, properties, or deals from Cloze
search_people_by_tag
Find contacts that have a specific tag
update_person
Email is used as the match key. Update an existing person in Cloze (matching by email)
Example Prompts for Cloze in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Cloze immediately.
"Get all details for the person with email 'sarah@example.com' in Cloze."
"Show me my active projects in Cloze."
"Find all contacts tagged with 'VIP' in Cloze."
Troubleshooting Cloze MCP Server with OpenAI Agents SDK
Common issues when connecting Cloze to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Cloze + OpenAI Agents SDK FAQ
Common questions about integrating Cloze 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 Cloze 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 Cloze to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.