How do I get a Drift Auth Token?

Log in to your Drift account, navigate to **Settings > App Settings**, and create a new app or use an existing one to generate a **Personal Access Token**. Ensure the app has the necessary scopes for conversations and contacts.

Can the agent reply to Drift conversations?

This integration currently focuses on listing and auditing conversations, contacts, and agents. Sending active replies should be managed via the Drift agent application or web interface.

Does the integration show live agent presence?

Yes, you can use the list_drift_agents or quick_agent_availability_audit tools to retrieve real-time availability and presence statuses for your support and sales teams.

Drift MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Drift
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Drift 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 Drift "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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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 Drift MCP Server

Integrate Drift, the leading conversational marketing and sales platform, directly into your AI workflow. Manage your customer conversations and transcripts, track identified contacts and their profile attributes, monitor agent availability and roles, and oversee your conversational playbooks using natural language.

Pydantic AI validates every Drift tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

Conversation Oversight — List and retrieve detailed information and full transcripts for all your Drift customer interactions.
Contact Intelligence — Monitor identified contacts, their email addresses, custom profile attributes, and organizational accounts.
Agent Management — Track real-time agent availability statuses, presence, and organizational roles across your team.
Playbook Monitoring — List all configured conversational playbooks (bots) and identify their current activation statuses.

The Drift MCP Server exposes 10 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 Drift to Pydantic AI via MCP

Follow these steps to integrate the Drift 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 10 tools from Drift with type-safe schemas

Why Use Pydantic AI with the Drift MCP Server

Pydantic AI provides unique advantages when paired with Drift 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 Drift integration code

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

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

Drift + Pydantic AI Use Cases

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

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

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

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

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

Drift MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Drift to Pydantic AI via MCP:

get_contact_profile

Get full profile data and interaction history for a specific contact

get_conversation_details

Get detailed information and full transcript for a specific conversation

get_drift_platform_metadata

Retrieve metadata for the current authenticated Drift account

list_drift_agents

List all registered agents and users in your Drift organization

list_drift_contacts

List all contacts synchronized or identified in your Drift account

list_drift_conversations

List all active and recent customer conversations in Drift

list_drift_playbooks

List all configured conversational playbooks (bots)

list_latest_customer_interactions

Identify the most recently updated customer conversations

quick_agent_availability_audit

Retrieve a high-level summary of active agent availability statuses

search_contacts_by_email

Search for a contact using their email address

Example Prompts for Drift in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Drift immediately.

"List all active Drift conversations."

"Show me the contact profile for 'robert.brown@example.org'."

"Who is currently available to take chats in Drift?"

Troubleshooting Drift MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Drift + Pydantic AI FAQ

Common questions about integrating Drift 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 Drift MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.