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 Google ADK 10 tools — connect in under 2 minutes

Name: Feishu Bitable
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Feishu Bitable as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="feishu_bitable_agent",
    instruction=(
        "You help users interact with Feishu Bitable "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

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.

Google ADK natively supports Feishu Bitable as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

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

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Feishu Bitable via MCP

Why Use Google ADK with the Feishu Bitable MCP Server

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

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Feishu Bitable

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Feishu Bitable tools with BigQuery, Vertex AI, and Cloud Functions

Feishu Bitable + Google ADK Use Cases

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

Enterprise data agents: ADK agents query Feishu Bitable and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Feishu Bitable tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Feishu Bitable regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Feishu Bitable

Feishu Bitable MCP Tools for Google ADK (10)

These 10 tools become available when you connect Feishu Bitable to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Feishu Bitable + Google ADK FAQ

Common questions about integrating Feishu Bitable MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.