Can I see what a specific customer said to the chatbot?

Yes! Use the `get_contact_messages` tool with the contact ID. The agent will return the full message history for that specific lead, allowing you to review their questions and needs.

How do I check which of my websites have Cliengo active?

Use the `list_cliengo_websites` tool. Your agent will fetch all projects and websites registered in your account, including their configuration details.

Where do I find my Cliengo API Key?

Log in to Cliengo, navigate to **Settings**, and select **API**. You can find or generate your API key in that section.

Cliengo MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Cliengo
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Cliengo through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Cliengo "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Cliengo?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

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DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every Cliengo tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Cliengo MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from Cliengo with type-safe schemas

Why Use Pydantic AI with the Cliengo MCP Server

Pydantic AI provides unique advantages when paired with Cliengo through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Cliengo integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Cliengo connection logic from agent behavior for testable, maintainable code

Cliengo + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Cliengo MCP Server delivers measurable value.

Type-safe data pipelines: query Cliengo with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Cliengo tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Cliengo and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Cliengo responses and write comprehensive agent tests

Cliengo MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Cliengo to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Cliengo to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Cliengo + Pydantic AI FAQ

Common questions about integrating Cliengo MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Cliengo MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.