Cleared (ClearedIn) MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Cleared (ClearedIn) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"cleared-clearedin": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Cleared (ClearedIn), show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Cleared (ClearedIn) through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Cleared (ClearedIn) MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 8 tools from Cleared (ClearedIn) via MCP
Why Use LangChain with the Cleared (ClearedIn) MCP Server
LangChain provides unique advantages when paired with Cleared (ClearedIn) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Cleared (ClearedIn) MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Cleared (ClearedIn) queries for multi-turn workflows
Cleared (ClearedIn) + LangChain Use Cases
Practical scenarios where LangChain combined with the Cleared (ClearedIn) MCP Server delivers measurable value.
RAG with live data: combine Cleared (ClearedIn) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Cleared (ClearedIn), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Cleared (ClearedIn) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Cleared (ClearedIn) tool call, measure latency, and optimize your agent's performance
Cleared (ClearedIn) MCP Tools for LangChain (8)
These 8 tools become available when you connect Cleared (ClearedIn) to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Cleared (ClearedIn) to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCleared (ClearedIn) + LangChain FAQ
Common questions about integrating Cleared (ClearedIn) MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.