Can I search for talents with specific custom attributes?

Yes! You can use the `search_talents` tool. Your agent will query the database and you can then use `get_talent_details` to inspect all custom fields associated with matching profiles.

How do I see the photos and videos for a talent?

Use the `list_talent_media` tool with the talent's unique ID. The agent will return links to all headshots, videos, and self-tapes stored in their profile.

Where do I find my Casting42 API Key?

Log in to your Casting42 account and navigate to the 'Settings' module. You should find your API key there for integration.

Casting42 MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Casting42
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 Casting42 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 Casting42 "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Casting42?"
    )
    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 Casting42 MCP Server

Connect your Casting42 account to any AI agent and take full control of your talent database and casting workflows through natural conversation. Streamline talent discovery and project management.

Pydantic AI validates every Casting42 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

Talent Discovery — Search and list talent profiles with detailed metadata and categories natively
Deep-Dive Profiles — Access complete talent information, including custom attributes and organizational tags flawlessly
Media Management — Retrieve headshots, videos, and self-tapes associated with talent profiles securely
Project Oversight — Monitor active casting projects and talent assignments in real-time
Custom Data Control — Access the unique custom fields and attributes defined in your specific database
Classification Analysis — List and filter talents by categories and tags to identify the right fit for your needs

The Casting42 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 Casting42 to Pydantic AI via MCP

Follow these steps to integrate the Casting42 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 Casting42 with type-safe schemas

Why Use Pydantic AI with the Casting42 MCP Server

Pydantic AI provides unique advantages when paired with Casting42 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 Casting42 integration code

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

Dependency injection system cleanly separates your Casting42 connection logic from agent behavior for testable, maintainable code

Casting42 + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Casting42 MCP Server delivers measurable value.

Type-safe data pipelines: query Casting42 with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Casting42 tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Casting42 and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Casting42 responses and write comprehensive agent tests

Casting42 MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Casting42 to Pydantic AI via MCP:

get_talent_details

Get detailed information for a specific talent

list_casting_projects

List casting projects

list_custom_attributes

List custom data fields defined in the database

list_talent_categories

List configured talent categories

list_talent_media

List headshots, videos, and media for a specific talent

list_talent_tags

List tags used for talent organization

list_talents

List talents from the database

search_talents

Search for talents by name or attributes

Example Prompts for Casting42 in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Casting42 immediately.

"Search for talents named 'John' in my Casting42 database."

"Show me the media files for talent ID 12345."

"What are the active casting projects right now?"

Troubleshooting Casting42 MCP Server with Pydantic AI

Common issues when connecting Casting42 to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Casting42 + Pydantic AI FAQ

Common questions about integrating Casting42 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 Casting42 MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.