Feishu Bitable MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"feishu-bitable": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Cursor's Agent mode turns Feishu Bitable into an in-editor superpower. Ask Cursor to generate code using live data from Feishu Bitable and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the Feishu Bitable MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Feishu Bitable
Open Agent mode in chat and ask: "Using Feishu Bitable, help me...". 10 tools available
Why Use Cursor with the Feishu Bitable MCP Server
Cursor AI Code Editor provides unique advantages when paired with Feishu Bitable through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Feishu Bitable + Cursor Use Cases
Practical scenarios where Cursor combined with the Feishu Bitable MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Feishu Bitable MCP Tools for Cursor (10)
These 10 tools become available when you connect Feishu Bitable to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting Feishu Bitable to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Feishu Bitable + Cursor FAQ
Common questions about integrating Feishu Bitable MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect Feishu Bitable with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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.
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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 Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.