api.video MCP Server for Pydantic AIGive Pydantic AI instant access to 9 tools to Create Video Object, Delete Video, Get Video Analytics, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect api.video through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The api.video app connector for Pydantic AI is a standout in the Developer Tools category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 api.video "
"(9 tools)."
),
)
result = await agent.run(
"What tools are available in api.video?"
)
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 api.video MCP Server
Connect your api.video account to any AI agent and take full control of your professional video hosting infrastructure and automated media workflows through natural conversation.
Pydantic AI validates every api.video tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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
- Video Orchestration — List and manage your entire high-fidelity video library programmatically, or create new video objects to prepare for uploads in real-time
- Asset Intelligence — Retrieve detailed high-fidelity status and direct asset URLs for players, thumbnails, and navigation markers (chapters) directly through your agent
- Deep Analytics Tracking — Monitor performance metrics like total plays and impressions using high-fidelity aggregation tools to coordinate your content strategy
- Multilingual Captions — Access and manage subtitle tracks across multiple languages to maintain a perfectly coordinated global viewer experience
- Infrastructure Monitoring — Access your directory of custom player themes and store-level metadata directly through your agent for instant operational reporting
The api.video MCP Server exposes 9 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.
All 9 api.video tools available for Pydantic AI
When Pydantic AI connects to api.video through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-hosting, video-streaming, encoding, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Set title and description here. Initialize a new video
video. Permanently delete a video
Retrieve performance metrics
Get metadata for a video
List custom player themes
List captions for a video
List chapters for a video
Supports filtering by title or tags. List your api.video videos
Modify video metadata
Connect api.video to Pydantic AI via MCP
Follow these steps to wire api.video into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the api.video MCP Server
Pydantic AI provides unique advantages when paired with api.video 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 api.video integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your api.video connection logic from agent behavior for testable, maintainable code
api.video + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the api.video MCP Server delivers measurable value.
Type-safe data pipelines: query api.video with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple api.video tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query api.video and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock api.video responses and write comprehensive agent tests
Example Prompts for api.video in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with api.video immediately.
"List the last 5 videos in my api.video account."
"Show the play count analytics for all videos this month."
"Get the player link and captions for video ID 'vi123'."
Troubleshooting api.video MCP Server with Pydantic AI
Common issues when connecting api.video to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiapi.video + Pydantic AI FAQ
Common questions about integrating api.video 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.