How do I get Jebbit API credentials?

You need a Client ID and Client Secret. Please contact your Jebbit account representative or visit the developer settings in your Jebbit dashboard to obtain these credentials.

What is zero-party data?

Zero-party data is data that a customer intentionally and proactively shares with a brand, often through interactive experiences like quizzes or surveys.

Can I see campaign performance?

Yes, the list_reporting_jobs and get_experience tools allow you to access data related to how users are interacting with your Jebbit content.

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

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

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

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 Jebbit MCP Server

Empower your AI agents with Jebbit's interactive experience platform. This MCP server allows you to list experiences, retrieve consumer attributes, manage audience segments, and track reporting jobs directly through the Jebbit API. Ideal for leveraging zero-party data and automating marketing insights.

Pydantic AI validates every Jebbit 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.

The Jebbit 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 Jebbit to Pydantic AI via MCP

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

Why Use Pydantic AI with the Jebbit MCP Server

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

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

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

Jebbit + Pydantic AI Use Cases

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

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

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

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

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

Jebbit MCP Tools for Pydantic AI (10)

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

get_account

Use to verify account status. Retrieves account details

get_experience

Use this to understand the structure or overall results of a specific quiz or survey. Retrieves details for a specific experience

list_attributes

g., "favorite_color", "purchase_intent") that have been captured across experiences. Essential for understanding what consumer insights are available. Lists all consumer attributes captured

list_campaigns

Use this to monitor where traffic to experiences is coming from. Lists all active campaigns

list_experiences

Returns experience names, IDs, and publication status. Use this to identify which interactive content is available for analysis. Lists all interactive experiences

list_integrations

Useful for verifying data flow to other platforms. Lists all active integrations

list_reporting_jobs

Use this to check the status of large data requests. Lists all recent reporting jobs

list_segments

Useful for identifying high-value cohorts for targeted marketing. Lists all audience segments

list_users

Useful for account auditing and permission checks. Lists all platform users

list_webhooks

Useful for auditing integrations. Lists all configured webhooks

Example Prompts for Jebbit in Pydantic AI

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

"List all interactive experiences in my Jebbit account."

"Show me the consumer attributes captured by my quizzes."

"Check for any recent reporting jobs."

Troubleshooting Jebbit MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Jebbit + Pydantic AI FAQ

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