Feishu Bitable MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Feishu Bitable as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="feishu_bitable_agent",
tools=tools,
system_message=(
"You help users with Feishu Bitable. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Feishu Bitable tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Feishu Bitable MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Feishu Bitable automatically
Why Use AutoGen with the Feishu Bitable MCP Server
AutoGen provides unique advantages when paired with Feishu Bitable through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Feishu Bitable tools to solve complex tasks
Role-based architecture lets you assign Feishu Bitable tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Feishu Bitable tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Feishu Bitable tool responses in an isolated environment
Feishu Bitable + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Feishu Bitable MCP Server delivers measurable value.
Collaborative analysis: one agent queries Feishu Bitable while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Feishu Bitable, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Feishu Bitable data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Feishu Bitable responses in a sandboxed execution environment
Feishu Bitable MCP Tools for AutoGen (10)
These 10 tools become available when you connect Feishu Bitable to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Feishu Bitable to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Feishu Bitable + AutoGen FAQ
Common questions about integrating Feishu Bitable MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Feishu Bitable with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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TypeScript toolkit for building AI-powered web applications.
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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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
