Spiritme MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Check Spiritme Status, Delete Video, Generate Audio, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Spiritme 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 Spiritme app connector for Pydantic AI is a standout in the Marketing Automation category — giving your AI agent 12 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 Spiritme "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Spiritme?"
)
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 Spiritme MCP Server
Connect your Spiritme account to any AI agent and take full control of your automated video avatar generation and high-fidelity personalized media workflows through natural conversation.
Pydantic AI validates every Spiritme tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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
- Avatar Portfolio Orchestration — List and manage your entire high-fidelity portfolio of digital avatars programmatically, retrieving detailed technical metadata and SKU IDs
- Video Generation Intelligence — Programmatically trigger and monitor high-fidelity video generation jobs using custom scripts and voice selections
- Asset & Media Architecture — Access your complete directory of high-fidelity hosted video assets to oversee your organizational resource allocation in real-time
- Engagement Monitoring — Access real-time status updates for video processing and track generation results directly through your agent for instant reporting
- Operational Monitoring — Verify account-level API connectivity and monitor video orchestration volume directly through your agent for perfectly coordinated service scaling
The Spiritme MCP Server exposes 12 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 12 Spiritme tools available for Pydantic AI
When Pydantic AI connects to Spiritme through Vinkius, your AI agent gets direct access to every tool listed below — spanning ai-avatars, video-generation, digital-human, 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.
Verify connectivity
Delete a video
Generate audio
Generate a video
Get avatar details
Get video job status
Get template details
Get voice details
List avatars
List templates
List videos
List voices
Connect Spiritme to Pydantic AI via MCP
Follow these steps to wire Spiritme 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 Spiritme MCP Server
Pydantic AI provides unique advantages when paired with Spiritme 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 Spiritme integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Spiritme connection logic from agent behavior for testable, maintainable code
Spiritme + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Spiritme MCP Server delivers measurable value.
Type-safe data pipelines: query Spiritme with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Spiritme tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Spiritme and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Spiritme responses and write comprehensive agent tests
Example Prompts for Spiritme in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Spiritme immediately.
"Generate a video with avatar 'av_123' and script: 'Hello, welcome to our team!'."
"Check the status of video job 'job_xyz789'."
"List all active videos in my Spiritme library."
Troubleshooting Spiritme MCP Server with Pydantic AI
Common issues when connecting Spiritme to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiSpiritme + Pydantic AI FAQ
Common questions about integrating Spiritme 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.