Sansan 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 Sansan 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 Sansan, 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 Sansan MCP Server
Connect your Sansan account to any AI agent to access your organization’s entire secure network of digitized business cards. Effortlessly manage contact relationships directly from Claude, Cursor, or your preferred MCP client.
The Vercel AI SDK gives every Sansan 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
- Business Cards — List all scanned cards, retrieve comprehensive details by card ID, and search for specific contacts by name
- Personnel Records — Browse individual person profiles across all captured cards and access deep contact details
- Network Organization — Inspect all available tags used for structuring and organizing business cards
- Enterprise Structure — List registered Sansan users and view all distinct departments within your organization
The Sansan 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 Sansan to Vercel AI SDK via MCP
Follow these steps to integrate the Sansan 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 Sansan and passes them to the LLM
Why Use Vercel AI SDK with the Sansan MCP Server
Vercel AI SDK provides unique advantages when paired with Sansan 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 Sansan integration everywhere
Built-in streaming UI primitives let you display Sansan 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
Sansan + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Sansan MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Sansan in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Sansan tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Sansan capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Sansan through natural language queries
Sansan MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Sansan to Vercel AI SDK via MCP:
get_biz_card
Retrieves details for a specific business card
get_person
Retrieves details for a specific contact person
list_biz_cards
Lists all scanned business cards
list_departments
Lists all departments in the organization
list_persons
Lists all contact persons across cards
list_tags
Lists all tags used for organizing business cards
list_users
Lists all Sansan users in the organization
search_biz_cards
Searches for business cards by name
Example Prompts for Sansan in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Sansan immediately.
"Search for a business card with the name 'Tanaka'."
"Can you list all the tag categories in our Sansan database?"
"Get the detailed person profile for the ID 'person-12345'."
Troubleshooting Sansan MCP Server with Vercel AI SDK
Common issues when connecting Sansan to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSansan + Vercel AI SDK FAQ
Common questions about integrating Sansan 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 Sansan 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 Sansan to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.