Feishu Bitable MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Feishu Bitable 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 Feishu Bitable, 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 Feishu Bitable MCP Server
Empower your AI agent to orchestrate your data with Feishu Bitable (Lark), the leading multi-dimensional table platform for modern collaboration. By connecting Feishu Bitable to your agent, you transform complex database management and record tracking into a natural conversation. Your agent can instantly list your tables, retrieve field schemas, manage records (create, update, delete), and even search through your data without you needing to navigate the web interface. Whether you are managing a project tracker, a customized CRM, or an asset database, your agent acts as a real-time data assistant, keeping your bases organized and your team aligned.
The Vercel AI SDK gives every Feishu Bitable tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Base Orchestration — Retrieve metadata about your Bitable bases and list all tables within them.
- Data Operations — Manage table records with full support for batch creation, listing, and granular updates.
- View & Field Auditing — Browse defined views and field schemas to understand your data structures.
- Advanced Search — Search through records using filter expressions to find exactly what you need.
- Team Alignment — Access base information to ensure your AI agent has the correct context for your collaboration.
The Feishu Bitable MCP Server exposes 10 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 Feishu Bitable to Vercel AI SDK via MCP
Follow these steps to integrate the Feishu Bitable 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 10 tools from Feishu Bitable and passes them to the LLM
Why Use Vercel AI SDK with the Feishu Bitable MCP Server
Vercel AI SDK provides unique advantages when paired with Feishu Bitable 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 Feishu Bitable integration everywhere
Built-in streaming UI primitives let you display Feishu Bitable 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
Feishu Bitable + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Feishu Bitable MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Feishu Bitable in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Feishu Bitable tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Feishu Bitable capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Feishu Bitable through natural language queries
Feishu Bitable MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Feishu Bitable to Vercel AI SDK via MCP:
create_records
Batch create records in a table
delete_record
Delete a record from a table
get_base_info
Get Bitable base information
get_record_details
Get record detailed data
list_fields
List fields in a table
list_records
List records in a table
list_tables
List tables in a Bitable app
list_views
) defined for a table. List views in a table
search_records
Search records with filter
update_record
Update an existing record
Example Prompts for Feishu Bitable in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Feishu Bitable immediately.
"List all tables in Bitable base 'AppbcbWCzen6D8dezhoCH2RpMAh'."
"Add a new record to the 'Inventory' table with fields: Name='MacBook Pro', Quantity=5."
"Search for records in table 'tblsRc9GRRXKqhvW' where 'Status' equals 'Shipped'."
Troubleshooting Feishu Bitable MCP Server with Vercel AI SDK
Common issues when connecting Feishu Bitable to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFeishu Bitable + Vercel AI SDK FAQ
Common questions about integrating Feishu Bitable 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 Feishu Bitable 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 Feishu Bitable to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.