Feishu Bitable MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Feishu Bitable through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"feishu-bitable": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Feishu Bitable Agent",
instructions:
"You help users interact with Feishu Bitable " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Feishu Bitable?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Feishu Bitable tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Feishu Bitable MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Feishu Bitable via MCP
Why Use Mastra AI with the Feishu Bitable MCP Server
Mastra AI provides unique advantages when paired with Feishu Bitable through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Feishu Bitable without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Feishu Bitable tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Feishu Bitable + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Feishu Bitable MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Feishu Bitable, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Feishu Bitable as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Feishu Bitable on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Feishu Bitable tools alongside other MCP servers
Feishu Bitable MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Feishu Bitable to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Feishu Bitable to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFeishu Bitable + Mastra AI FAQ
Common questions about integrating Feishu Bitable MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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.
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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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.