Cliengo MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Cliengo 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="Cliengo Assistant",
instructions=(
"You help users interact with Cliengo. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Cliengo"
)
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 Cliengo MCP Server
Connect your Cliengo account to any AI agent and take full control of your conversational marketing and lead management through natural conversation. Streamline how you capture and qualify leads via chatbot and WhatsApp natively.
The OpenAI Agents SDK auto-discovers all 8 tools from Cliengo through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Cliengo, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Lead Oversight — List and retrieve details for all leads and contacts captured via Cliengo natively
- Conversation Intelligence — Access all chatbot or WhatsApp conversations and retrieve full message histories flawlessly
- Website Tracking — List all websites and projects where your Cliengo chatbot is installed securely
- Message Auditing — Retrieve all specific messages exchanged with a contact to understand their needs flawlessly
- User Management — List internal users and agents who manage conversations within your account securely
- Webhook Visibility — Monitor all configured webhooks for real-time lead data integration directly within your workspace
The Cliengo MCP Server exposes 8 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 Cliengo to OpenAI Agents SDK via MCP
Follow these steps to integrate the Cliengo 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 8 tools from Cliengo
Why Use OpenAI Agents SDK with the Cliengo MCP Server
OpenAI Agents SDK provides unique advantages when paired with Cliengo 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
Cliengo + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Cliengo MCP Server delivers measurable value.
Automated workflows: build agents that query Cliengo, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Cliengo, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Cliengo tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Cliengo to resolve tickets, look up records, and update statuses without human intervention
Cliengo MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Cliengo to OpenAI Agents SDK via MCP:
get_chat_history
Get the full message history for a specific conversation
get_contact_messages
Retrieve all messages exchanged with a specific contact
get_lead_details
Get detailed information for a specific contact
list_chat_conversations
List all chatbot or WhatsApp conversations
list_cliengo_leads
List all leads and contacts captured via Cliengo
list_cliengo_users
List all internal users and agents in the account
list_cliengo_webhooks
List all configured webhooks for real-time lead data
list_cliengo_websites
List all websites/projects where Cliengo is installed
Example Prompts for Cliengo in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Cliengo immediately.
"List all new leads from Cliengo today."
"Show me the chat history for Juan Perez."
"List all internal users who manage my Cliengo account."
Troubleshooting Cliengo MCP Server with OpenAI Agents SDK
Common issues when connecting Cliengo to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Cliengo + OpenAI Agents SDK FAQ
Common questions about integrating Cliengo 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 Cliengo 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 Cliengo to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.