Cliengo MCP Server for AutoGen 8 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Cliengo as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="cliengo_agent",
tools=tools,
system_message=(
"You help users with Cliengo. "
"8 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Cliengo tools. Connect 8 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Cliengo MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 8 tools from Cliengo automatically
Why Use AutoGen with the Cliengo MCP Server
AutoGen provides unique advantages when paired with Cliengo through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Cliengo tools to solve complex tasks
Role-based architecture lets you assign Cliengo tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Cliengo tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Cliengo tool responses in an isolated environment
Cliengo + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Cliengo MCP Server delivers measurable value.
Collaborative analysis: one agent queries Cliengo while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Cliengo, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Cliengo data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Cliengo responses in a sandboxed execution environment
Cliengo MCP Tools for AutoGen (8)
These 8 tools become available when you connect Cliengo to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Cliengo to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Cliengo + AutoGen FAQ
Common questions about integrating Cliengo MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Cliengo with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
