Yitu Technology / 依图科技 MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Yitu Technology / 依图科技 through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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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 Yitu Technology / 依图科技, 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 Yitu Technology / 依图科技 MCP Server
Empower your AI agent to orchestrate your enterprise-grade visual intelligence and facial recognition workflows with Yitu Technology (依图科技), a world-class provider of computer vision solutions. By connecting Yitu to your agent, you transform complex facial matching, identity search, and repository management into a natural conversation. Your agent can instantly detect faces in images, verify identities through high-precision comparison, manage custom facial repositories, and index new identities without you ever needing to navigate complex technical dashboards. Whether you are building an automated security checkpoint or managing a high-volume digital identity archive, your agent acts as a real-time computer vision coordinator, providing accurate results from a single, authorized source.
The Vercel AI SDK gives every Yitu Technology / 依图科技 tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Facial Orchestration — Detect faces and extract precise locations and attributes from image URLs.
- Identity Verification — Perform high-precision 1:1 face comparison to verify if two images belong to the same person.
- Library Search — Search for matching identities within your private facial repositories (1:N recognition).
- Repository Management — Create, list, and monitor metadata for your facial data repositories.
- Identity Indexing — Register new faces and associate them with unique person identifiers for future search.
The Yitu Technology / 依图科技 MCP Server exposes 12 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 Yitu Technology / 依图科技 to Vercel AI SDK via MCP
Follow these steps to integrate the Yitu Technology / 依图科技 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 12 tools from Yitu Technology / 依图科技 and passes them to the LLM
Why Use Vercel AI SDK with the Yitu Technology / 依图科技 MCP Server
Vercel AI SDK provides unique advantages when paired with Yitu Technology / 依图科技 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 Yitu Technology / 依图科技 integration everywhere
Built-in streaming UI primitives let you display Yitu Technology / 依图科技 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
Yitu Technology / 依图科技 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Yitu Technology / 依图科技 MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Yitu Technology / 依图科技 in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Yitu Technology / 依图科技 tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Yitu Technology / 依图科技 capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Yitu Technology / 依图科技 through natural language queries
Yitu Technology / 依图科技 MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Yitu Technology / 依图科技 to Vercel AI SDK via MCP:
add_face_to_repo
Register a face in a repository
compare_faces
Verify if two faces match (1:1)
create_face_repo
Create a new facial repository
delete_face_repo
Delete a facial repository
detect_active_liveness
Returns per-action pass/fail. Active liveness detection with action verification
detect_face
Detect faces in an image
detect_silent_liveness
Detects photos, screens, and 3D masks. Silent liveness detection (anti-spoofing)
list_repos
List all facial repositories
moderate_image
Content moderation for images
ocr_id_card
Extract text from an ID card image
remove_face_from_repo
Remove a face from a repository
search_face_in_repo
Returns top matches with confidence. Search for a face in a repository (1:N)
Example Prompts for Yitu Technology / 依图科技 in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Yitu Technology / 依图科技 immediately.
"Detect faces in this URL: [URL] and tell me how many people are there."
"Search for this face: [URL] in repository 'REPO_8821'."
"List all facial repositories in my Yitu project."
Troubleshooting Yitu Technology / 依图科技 MCP Server with Vercel AI SDK
Common issues when connecting Yitu Technology / 依图科技 to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpYitu Technology / 依图科技 + Vercel AI SDK FAQ
Common questions about integrating Yitu Technology / 依图科技 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 Yitu Technology / 依图科技 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 Yitu Technology / 依图科技 to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.