Bring Credit Scoring
to Vercel AI SDK
Create your Vinkius account to connect Rong360 Open API to Vercel AI SDK and start using all 4 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Rong360 Open API MCP Server?
Connect your AI backend directly to Rong360 (融360), a massive financial big-data hub in China. With this MCP server, your LLMs can execute deep background checks, calculate credit risk, and perform facial-KYC without implementing convoluted RSA algorithms manually.
What you can do
- Identity Verification — Check if an ID number matches the provided Real Name directly with authorities
- Credit Scoring — Evaluate consumer loaning scores to identify defaulting behaviors instantly
- Carrier Validation — Confirm if a given phone number has been officially registered under the user's name
How it works
- Subscribe to this server
- Insert your App ID and your RSA Private Key from the Rong360 Open Platform
- Start verifying consumers dynamically from the MCP console directly
Who is this for?
- Fintech Underwriters — Allow agents to automatically process preliminary credit evaluations before humans review loans
- P2P Marketplaces — Detect scammers by verifying carrier information and matching IDs to face scans automatically
- Security Teams — Build robust AI vetting workflows prior to onboarding high-value accounts
Built-in capabilities (4)
Generate a big data credit score profile
Perform facial recognition matching against a government ID
Validate carrier ownership of a mobile phone
Verify a national ID card and real name
Why Vercel AI SDK?
The Vercel AI SDK gives every Rong360 Open API tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Rong360 Open API integration everywhere
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Built-in streaming UI primitives let you display Rong360 Open API tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Rong360 Open API in Vercel AI SDK
Why run Rong360 Open API with Vinkius?
The Rong360 Open API connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 4 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Rong360 Open API using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Rong360 Open API and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Rong360 Open API to Vercel AI SDK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Rong360 Open API for Vercel AI SDK
Every request between Vercel AI SDK and Rong360 Open API is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How is the RSA signature handled?
Rong360 APIs typically require generating a strict base64 signature for each URL. This MCP server entirely abstracts that operation. You just securely paste your pkcs8 Private Key once during setup, and the agentic execution environment automatically handles URL signing on each outgoing LLM request.
How does the Vercel AI SDK connect to MCP servers?
Import 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?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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