Can I see if a user has finished their background check?

Yes! Use the `get_screening_details` tool with the screening ID. The agent will return the current status and the final result of the check.

How do I find out who accessed a specific verification record?

Use the `list_cleared_audit_logs` tool. Your agent will fetch the account's security logs, allowing you to audit access to sensitive personal information.

Where do I find my Cleared API Key?

Log in to your Cleared (ClearedIn) Admin Portal and navigate to the **Integrations** section. You can generate and copy your API key from there.

Cleared (ClearedIn) MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Cleared (ClearedIn)
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Cleared (ClearedIn) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Cleared (ClearedIn) "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Cleared (ClearedIn)?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Cleared (ClearedIn) MCP Server

Connect your Cleared (ClearedIn) account to any AI agent and take full control of your identity verification and screening workflows through natural conversation. Streamline how you verify users and maintain trust natively.

Pydantic AI validates every Cleared (ClearedIn) tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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

Verification Oversight — List and retrieve details for all identity verification requests and their status natively
Screening Intelligence — Access and monitor background screening requests and retrieve detailed results flawlessly
Digital Signatures — List all digital signature requests and track their completion status securely
Audit Logistics — Access security audit logs to track who accessed sensitive data and when flawlessly
Identity Management — Retrieve core account and user metadata directly within your workspace flawlessly
Trust Logistics — Monitor the lifecycle of verification sessions from 'Pending' to 'Verified' or 'Rejected' in real-time

The Cleared (ClearedIn) MCP Server exposes 8 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 Cleared (ClearedIn) to Pydantic AI via MCP

Follow these steps to integrate the Cleared (ClearedIn) 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 8 tools from Cleared (ClearedIn) with type-safe schemas

Why Use Pydantic AI with the Cleared (ClearedIn) MCP Server

Pydantic AI provides unique advantages when paired with Cleared (ClearedIn) 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 Cleared (ClearedIn) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Cleared (ClearedIn) connection logic from agent behavior for testable, maintainable code

Cleared (ClearedIn) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Cleared (ClearedIn) MCP Server delivers measurable value.

Type-safe data pipelines: query Cleared (ClearedIn) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Cleared (ClearedIn) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Cleared (ClearedIn) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Cleared (ClearedIn) responses and write comprehensive agent tests

Cleared (ClearedIn) MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Cleared (ClearedIn) to Pydantic AI via MCP:

get_cleared_account_info

Retrieve core account and user metadata

get_screening_details

Get detailed results for a specific screening

get_signature_details

Get detailed status for a specific signature request

get_verification_details

Get detailed information for a specific verification

list_background_screenings

List all background screening requests

list_cleared_audit_logs

List security audit logs for the account

list_digital_signatures

List all digital signature requests

list_identity_verifications

List all identity verification requests

Example Prompts for Cleared (ClearedIn) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Cleared (ClearedIn) immediately.

"List the last 5 identity verifications in Cleared."

"Show me the results for screening ID 'scr_12345'."

"What is the status of the signature request for 'Employment Contract'?"

Troubleshooting Cleared (ClearedIn) MCP Server with Pydantic AI

Common issues when connecting Cleared (ClearedIn) to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Cleared (ClearedIn) + Pydantic AI FAQ

Common questions about integrating Cleared (ClearedIn) MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Cleared (ClearedIn) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.