How do I find my Feishu/Lark App ID and Secret?

Log in to the [Feishu Open Platform](https://open.feishu.cn/), create a new application or select an existing one, and you will find your App ID and App Secret in the 'Credentials' section.

Where can I find the 'appToken' for my Bitable base?

The `appToken` is the unique identifier found in the URL of your Bitable base. It typically looks like `AppbcbWCzen6D8dezhoCH2RpMAh` and appears after `/base/` in the browser address bar.

Does my application need specific permissions?

Yes. Ensure your application has the 'View, comment, edit and manage Bitable' (bitable:app) permission enabled in the Developer Console and that the bot is added as a collaborator to the base.

Feishu Bitable MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Feishu Bitable
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Feishu Bitable through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Feishu Bitable Assistant",
            instructions=(
                "You help users interact with Feishu Bitable. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Feishu Bitable"
        )
        print(result.final_output)

asyncio.run(main())

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 OpenAI Agents SDK auto-discovers all 10 tools from Feishu Bitable through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Feishu Bitable, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Feishu Bitable MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Feishu Bitable

Why Use OpenAI Agents SDK with the Feishu Bitable MCP Server

OpenAI Agents SDK provides unique advantages when paired with Feishu Bitable through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Feishu Bitable + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Feishu Bitable MCP Server delivers measurable value.

Automated workflows: build agents that query Feishu Bitable, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Feishu Bitable, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Feishu Bitable tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Feishu Bitable to resolve tickets, look up records, and update statuses without human intervention

Feishu Bitable MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Feishu Bitable to OpenAI Agents 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting Feishu Bitable to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Feishu Bitable + OpenAI Agents SDK FAQ

Common questions about integrating Feishu Bitable MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.