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 LangChain 10 tools — connect in under 2 minutes

Name: Feishu Bitable
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Feishu Bitable through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "feishu-bitable": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Feishu Bitable, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

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IAMAccess control

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DLPData protection

V8 IsolateSandboxed

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.

LangChain's ecosystem of 500+ components combines seamlessly with Feishu Bitable through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Feishu Bitable MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Feishu Bitable via MCP

Why Use LangChain with the Feishu Bitable MCP Server

LangChain provides unique advantages when paired with Feishu Bitable through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Feishu Bitable MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Feishu Bitable queries for multi-turn workflows

Feishu Bitable + LangChain Use Cases

Practical scenarios where LangChain combined with the Feishu Bitable MCP Server delivers measurable value.

RAG with live data: combine Feishu Bitable tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Feishu Bitable, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Feishu Bitable tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Feishu Bitable tool call, measure latency, and optimize your agent's performance

Feishu Bitable MCP Tools for LangChain (10)

These 10 tools become available when you connect Feishu Bitable to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Feishu Bitable + LangChain FAQ

Common questions about integrating Feishu Bitable MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.