Castmagic MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Castmagic through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Castmagic "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in Castmagic?"
)
print(result.data)
asyncio.run(main())
* 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 Castmagic MCP Server
Connect your Castmagic account to any AI agent and take full control of your content repurposing workflow through natural conversation. Transform long-form audio and video into ready-to-use assets instantly.
Pydantic AI validates every Castmagic 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
- Instant Transcription — Submit audio/video URLs and retrieve high-accuracy transcripts with speaker identification natively
- Magic Content Generation — Generate AI-driven show notes, summaries, social media posts, and titles flawlessly
- Speaker Analysis — List and manage identified speakers within your recordings to refine transcript metadata securely
- Asset Management — List all uploaded recordings and transcripts to organize your content library in real-time
- Quota Oversight — Retrieve account and subscription information to monitor your usage and limits directly
- Automated Workflows — Submit new content for processing and delete old transcripts directly within your workspace
The Castmagic 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 Castmagic to Pydantic AI via MCP
Follow these steps to integrate the Castmagic 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 Castmagic with type-safe schemas
Why Use Pydantic AI with the Castmagic MCP Server
Pydantic AI provides unique advantages when paired with Castmagic 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 Castmagic integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Castmagic connection logic from agent behavior for testable, maintainable code
Castmagic + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Castmagic MCP Server delivers measurable value.
Type-safe data pipelines: query Castmagic with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Castmagic tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Castmagic and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Castmagic responses and write comprehensive agent tests
Castmagic MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect Castmagic to Pydantic AI via MCP:
create_new_transcript
Submit a new audio or video URL for transcription
delete_transcript
Delete a transcript and its associated data
get_castmagic_account
Retrieve core account and quota information
get_magic_content
Retrieve AI-generated content (show notes, social posts) for a transcript
get_transcript_details
Get details and text for a specific transcript
list_castmagic_recordings
List all uploaded recordings
list_transcript_speakers
List identified speakers in a transcript
list_transcripts
List all audio/video transcripts
Example Prompts for Castmagic in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Castmagic immediately.
"Transcribe this audio file: https://example.com/episode1.mp3"
"Get the magic content for transcript ID tr_12345."
"Show me my last 10 recordings in Castmagic."
Troubleshooting Castmagic MCP Server with Pydantic AI
Common issues when connecting Castmagic to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCastmagic + Pydantic AI FAQ
Common questions about integrating Castmagic MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect Castmagic with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Castmagic to Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.