SproutVideo MCP Server for Pydantic AIGive Pydantic AI instant access to 11 tools to Create Playlist, Delete Video, Get Account, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect SproutVideo 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 SproutVideo app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 11 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 SproutVideo "
"(11 tools)."
),
)
result = await agent.run(
"What tools are available in SproutVideo?"
)
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 SproutVideo MCP Server
Connect your SproutVideo account to any AI agent and simplify your video hosting and content management through natural conversation.
Pydantic AI validates every SproutVideo tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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 Management — List all hosted videos, retrieve detailed metadata, and monitor playback stats and plays
- Playlist Control — Query and manage video playlists to organize your content delivery
- Metadata Automation — Update video titles, descriptions, and tags programmatically directly from your agent
- Cleanup & Maintenance — Delete old or redundant videos and manage your storage usage
- Operational Insights — Query video tags to understand your library structure and content distribution
The SproutVideo MCP Server exposes 11 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 11 SproutVideo tools available for Pydantic AI
When Pydantic AI connects to SproutVideo through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-hosting, video-cms, streaming, 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.
Create a new video playlist
Delete a video
Get account information and usage
Get details for a specific playlist
Get analytics for a specific video
Get details for a specific video
List all video folders
List video playlists
List video tags
List SproutVideo videos
Update video details
Connect SproutVideo to Pydantic AI via MCP
Follow these steps to wire SproutVideo 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 SproutVideo MCP Server
Pydantic AI provides unique advantages when paired with SproutVideo 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 SproutVideo integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your SproutVideo connection logic from agent behavior for testable, maintainable code
SproutVideo + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the SproutVideo MCP Server delivers measurable value.
Type-safe data pipelines: query SproutVideo with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple SproutVideo tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query SproutVideo and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock SproutVideo responses and write comprehensive agent tests
Example Prompts for SproutVideo in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with SproutVideo immediately.
"List all videos in SproutVideo."
"Show me the video engagement analytics for all published videos with viewer retention data."
"Create a new playlist called Product Tutorials and add the top 5 most viewed tutorial videos."
Troubleshooting SproutVideo MCP Server with Pydantic AI
Common issues when connecting SproutVideo to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiSproutVideo + Pydantic AI FAQ
Common questions about integrating SproutVideo 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.