Can I check the latest events tracked for a specific customer?

Yes! Use the `get_event_history` tool with the customer's email or ID. Your agent will fetch the timeline of their interactions, such as purchases or email opens.

How do I see the performance summary of my current campaigns?

Simply ask the agent to `get_campaign_performance`. It will retrieve a high-level overview of metrics across all active and past campaigns in your account.

Does the integration allow updating customer attributes?

Yes. Use the `create_update_customer` tool to modify profile data such as first name, last name, or custom properties directly from the agent.

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

Name: Blueshift
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 Blueshift 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 Blueshift "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Blueshift?"
    )
    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 Blueshift MCP Server

Connect your Blueshift account to any AI agent and orchestrate your omnichannel marketing and customer data workflows through natural conversation.

Pydantic AI validates every Blueshift 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

Campaign Management — List all marketing campaigns, retrieve detailed execution reports, and monitor high-level performance.
Customer Data Orchestration — Retrieve and update detailed customer profiles, including custom attributes and identifiers.
Real-time Event Tracking — Track custom user interactions (purchases, clicks, views) and retrieve event histories for behavior analysis.
Catalog & Segment Discovery — List all data catalogs and customer segments to ensure accurate targeting.
Triggered Campaigns — Initiate API-triggered campaigns for specific users directly from your workspace.

The Blueshift 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 Blueshift to Pydantic AI via MCP

Follow these steps to integrate the Blueshift 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 Blueshift with type-safe schemas

Why Use Pydantic AI with the Blueshift MCP Server

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

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

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

Blueshift + Pydantic AI Use Cases

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

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

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

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

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

Blueshift MCP Tools for Pydantic AI (10)

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

create_update_customer

Create or update a customer profile

get_campaign_detail

Get detailed report for a specific campaign

get_campaign_performance

Get high-level performance summary for all campaigns

get_catalog_items

Retrieve items from a specific catalog

get_customer

Retrieve a customer profile

get_event_history

Get history of events for a user

list_campaigns

List all marketing campaigns

list_catalogs

List all data catalogs

list_segments

List all customer segments

track_event

Track a custom user event

Example Prompts for Blueshift in Pydantic AI

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

"List all active marketing campaigns in Blueshift."

"Show the profile for customer john@example.com."

"Track a 'purchase' event for user customer_123."

Troubleshooting Blueshift MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Blueshift + Pydantic AI FAQ

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