Cleared (ClearedIn) MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Cleared (ClearedIn) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Cleared (ClearedIn) Assistant",
instructions=(
"You help users interact with Cleared (ClearedIn). "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Cleared (ClearedIn)"
)
print(result.final_output)
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 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.
The OpenAI Agents SDK auto-discovers all 8 tools from Cleared (ClearedIn) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Cleared (ClearedIn), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Cleared (ClearedIn) MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from Cleared (ClearedIn)
Why Use OpenAI Agents SDK with the Cleared (ClearedIn) MCP Server
OpenAI Agents SDK provides unique advantages when paired with Cleared (ClearedIn) through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Cleared (ClearedIn) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Cleared (ClearedIn) MCP Server delivers measurable value.
Automated workflows: build agents that query Cleared (ClearedIn), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Cleared (ClearedIn), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Cleared (ClearedIn) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Cleared (ClearedIn) to resolve tickets, look up records, and update statuses without human intervention
Cleared (ClearedIn) MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Cleared (ClearedIn) to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Cleared (ClearedIn) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Cleared (ClearedIn) + OpenAI Agents SDK FAQ
Common questions about integrating Cleared (ClearedIn) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Cleared (ClearedIn) 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 Cleared (ClearedIn) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
