Wistia MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Wistia through the 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 Wistia "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Wistia?"
)
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 Wistia MCP Server
Connect your Wistia account to any AI agent and take control of your video marketing infrastructure through natural conversation.
Pydantic AI validates every Wistia tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the 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
- Media Management — List all video and audio assets in your account, including their durations, play counts, and direct asset URLs
- Project Organization — Create, browse, and manage folders (projects) to keep your media library organized across teams
- Engagement Insights — Retrieve detailed play rates, average percent watched, and viewer statistics directly from your agent
- Metadata Control — Update video titles and descriptions or permanently delete obsolete assets and all their derivatives
- Remote Ingestion — Trigger Wistia to download and host video content from any public URL into a specific project
- Deep Discovery — Quickly find unique hashed IDs for medias and projects required for automated marketing workflows
- Asset Auditing — Browse organizational containers and retrieve technical metadata for high-quality content delivery
The Wistia 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 Wistia to Pydantic AI via MCP
Follow these steps to integrate the Wistia 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 Wistia with type-safe schemas
Why Use Pydantic AI with the Wistia MCP Server
Pydantic AI provides unique advantages when paired with Wistia 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 Wistia integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Wistia connection logic from agent behavior for testable, maintainable code
Wistia + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Wistia MCP Server delivers measurable value.
Type-safe data pipelines: query Wistia with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Wistia tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Wistia and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Wistia responses and write comprehensive agent tests
Wistia MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Wistia to Pydantic AI via MCP:
create_new_project
Provide a descriptive name. Creates a new project to organize media
delete_media_asset
This action is irreversible. Permanently deletes a Wistia media asset and all its derivatives
delete_wistia_project
Note: All videos in the project will be lost. This is irreversible. Permanently deletes a Wistia project and all media contained within it
get_engagement_statistics
Retrieves detailed engagement and viewer statistics for a video
get_media_details
Retrieves comprehensive metadata for a specific Wistia media asset
get_project_details
Retrieves details for a specific Wistia project, including all contained media
list_wistia_medias
Lists all media assets (videos, audios) in the Wistia account
list_wistia_projects
Lists all projects (folders) in the Wistia account
update_media_metadata
Provide the hashed ID and a JSON object of attributes. Updates the metadata (name, description) of a specific Wistia media
upload_video_via_url
Provide the source URL, target project ID, and a name. Triggers Wistia to download and host a video from a public URL
Example Prompts for Wistia in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Wistia immediately.
"List all my videos in Wistia."
"What are the engagement stats for the video with ID 'abc123def'?"
"Upload the video from 'https://example.com/promo.mp4' to my 'Campaigns' project."
Troubleshooting Wistia MCP Server with Pydantic AI
Common issues when connecting Wistia to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiWistia + Pydantic AI FAQ
Common questions about integrating Wistia 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 Wistia 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 Wistia to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.