Yitu Technology / 依图科技 MCP Server for Pydantic AI 12 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Yitu Technology / 依图科技 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 Yitu Technology / 依图科技 "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Yitu Technology / 依图科技?"
)
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 Yitu Technology / 依图科技 MCP Server
Empower your AI agent to orchestrate your enterprise-grade visual intelligence and facial recognition workflows with Yitu Technology (依图科技), a world-class provider of computer vision solutions. By connecting Yitu to your agent, you transform complex facial matching, identity search, and repository management into a natural conversation. Your agent can instantly detect faces in images, verify identities through high-precision comparison, manage custom facial repositories, and index new identities without you ever needing to navigate complex technical dashboards. Whether you are building an automated security checkpoint or managing a high-volume digital identity archive, your agent acts as a real-time computer vision coordinator, providing accurate results from a single, authorized source.
Pydantic AI validates every Yitu Technology / 依图科技 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
- Facial Orchestration — Detect faces and extract precise locations and attributes from image URLs.
- Identity Verification — Perform high-precision 1:1 face comparison to verify if two images belong to the same person.
- Library Search — Search for matching identities within your private facial repositories (1:N recognition).
- Repository Management — Create, list, and monitor metadata for your facial data repositories.
- Identity Indexing — Register new faces and associate them with unique person identifiers for future search.
The Yitu Technology / 依图科技 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.
How to Connect Yitu Technology / 依图科技 to Pydantic AI via MCP
Follow these steps to integrate the Yitu Technology / 依图科技 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 12 tools from Yitu Technology / 依图科技 with type-safe schemas
Why Use Pydantic AI with the Yitu Technology / 依图科技 MCP Server
Pydantic AI provides unique advantages when paired with Yitu Technology / 依图科技 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 Yitu Technology / 依图科技 integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Yitu Technology / 依图科技 connection logic from agent behavior for testable, maintainable code
Yitu Technology / 依图科技 + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Yitu Technology / 依图科技 MCP Server delivers measurable value.
Type-safe data pipelines: query Yitu Technology / 依图科技 with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Yitu Technology / 依图科技 tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Yitu Technology / 依图科技 and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Yitu Technology / 依图科技 responses and write comprehensive agent tests
Yitu Technology / 依图科技 MCP Tools for Pydantic AI (12)
These 12 tools become available when you connect Yitu Technology / 依图科技 to Pydantic AI via MCP:
add_face_to_repo
Register a face in a repository
compare_faces
Verify if two faces match (1:1)
create_face_repo
Create a new facial repository
delete_face_repo
Delete a facial repository
detect_active_liveness
Returns per-action pass/fail. Active liveness detection with action verification
detect_face
Detect faces in an image
detect_silent_liveness
Detects photos, screens, and 3D masks. Silent liveness detection (anti-spoofing)
list_repos
List all facial repositories
moderate_image
Content moderation for images
ocr_id_card
Extract text from an ID card image
remove_face_from_repo
Remove a face from a repository
search_face_in_repo
Returns top matches with confidence. Search for a face in a repository (1:N)
Example Prompts for Yitu Technology / 依图科技 in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Yitu Technology / 依图科技 immediately.
"Detect faces in this URL: [URL] and tell me how many people are there."
"Search for this face: [URL] in repository 'REPO_8821'."
"List all facial repositories in my Yitu project."
Troubleshooting Yitu Technology / 依图科技 MCP Server with Pydantic AI
Common issues when connecting Yitu Technology / 依图科技 to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiYitu Technology / 依图科技 + Pydantic AI FAQ
Common questions about integrating Yitu Technology / 依图科技 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 Yitu Technology / 依图科技 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 Yitu Technology / 依图科技 to Pydantic AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.