Cleared (ClearedIn) MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Cleared (ClearedIn) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Cleared (ClearedIn), list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every Cleared (ClearedIn) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the Cleared (ClearedIn) MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from Cleared (ClearedIn) and passes them to the LLM
Why Use Vercel AI SDK with the Cleared (ClearedIn) MCP Server
Vercel AI SDK provides unique advantages when paired with Cleared (ClearedIn) through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Cleared (ClearedIn) integration everywhere
Built-in streaming UI primitives let you display Cleared (ClearedIn) tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Cleared (ClearedIn) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Cleared (ClearedIn) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Cleared (ClearedIn) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Cleared (ClearedIn) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Cleared (ClearedIn) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Cleared (ClearedIn) through natural language queries
Cleared (ClearedIn) MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Cleared (ClearedIn) to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Cleared (ClearedIn) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCleared (ClearedIn) + Vercel AI SDK FAQ
Common questions about integrating Cleared (ClearedIn) MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.