Sharpei MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Check Sharpei Status, Create Application, Get Application, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Sharpei 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 Sharpei app connector for Pydantic AI is a standout in the Ecommerce category — giving your AI agent 10 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 Sharpei "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Sharpei?"
)
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 Sharpei MCP Server
Connect your Sharpei account to any AI agent and manage identity verification workflows through natural conversation.
Pydantic AI validates every Sharpei tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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
- Application Management — List, inspect, and create verification applications
- Document Review — View uploaded documents and check verification results
- Status Tracking — Monitor verification progress for each application
- Subscription Management — View plans and features
- Webhook Configuration — List configured webhook endpoints
The Sharpei 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.
All 10 Sharpei tools available for Pydantic AI
When Pydantic AI connects to Sharpei through Vinkius, your AI agent gets direct access to every tool listed below — spanning identity-verification, kyc, biometric-check, 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 API connectivity
Create a verification application
Get application details
Get document details
List application documents
Get subscription details
Get verification status
List all applications
List subscriptions
List webhooks
Connect Sharpei to Pydantic AI via MCP
Follow these steps to wire Sharpei 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 Sharpei MCP Server
Pydantic AI provides unique advantages when paired with Sharpei 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 Sharpei integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Sharpei connection logic from agent behavior for testable, maintainable code
Sharpei + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Sharpei MCP Server delivers measurable value.
Type-safe data pipelines: query Sharpei with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Sharpei tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Sharpei and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Sharpei responses and write comprehensive agent tests
Example Prompts for Sharpei in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Sharpei immediately.
"List all verification applications."
"Check verification status for application APP-2891."
"Create a verification application for Jane Smith, jane@example.com."
Troubleshooting Sharpei MCP Server with Pydantic AI
Common issues when connecting Sharpei to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiSharpei + Pydantic AI FAQ
Common questions about integrating Sharpei 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.