Feishu MCP Server

The Feishu MCP Server bridges the gap between AI assistants and the rich document ecosystem of Feishu (also known as Lark). By exposing Feishu’s knowledge base and cloud documents through the Model Context Protocol, it lets AI agents retrieve, search, and manipulate content in real‑time without leaving their native workflow. This eliminates the need for custom integrations or manual data exports, enabling developers to build AI‑powered applications that can read company policies, pull up meeting notes, or update shared docs on demand.

Problem Solved

Modern enterprises rely heavily on collaborative document platforms, yet most AI assistants cannot natively access these resources. Developers typically write bespoke connectors or rely on brittle web‑scraping solutions to fetch content, leading to security gaps and maintenance overhead. The Feishu MCP Server offers a standardized, secure API layer that authenticates via Feishu’s OAuth credentials and serves documents in the format expected by MCP clients. This streamlines data access, reduces boilerplate code, and ensures compliance with Feishu’s permission model.

Core Functionality

• Document Retrieval: Fetches documents from Feishu’s knowledge base or cloud storage by ID, supporting both plain text and structured metadata.
• Search & Indexing: Provides keyword search across the organization’s documents, returning relevance scores and contextual snippets.
• MCP Integration: Implements the MCP protocol end‑to‑end, supporting both Command and Server‑Sent Events (SSE) modes so that AI assistants can query or stream updates seamlessly.
• Authentication & Authorization: Uses Feishu’s and to obtain access tokens, respecting the permissions granted to the application.
• Extensibility: Built as an npm package, it can be deployed locally or in the cloud, and its CLI exposes simple start‑up commands for quick iteration.

Use Cases

• Knowledge Base Assistant: A chatbot that answers employee questions by pulling the most relevant policy documents directly from Feishu.
• Meeting Note Automation: An AI that auto‑creates meeting summaries and posts them back to the appropriate Feishu folder, ensuring records are always up to date.
• Compliance Auditing: A tool that scans documents for prohibited content and flags them for review, leveraging the server’s search capabilities.
• Dynamic Documentation: Developers can embed live document previews in AI‑driven dashboards, allowing users to edit or comment without leaving the assistant’s interface.

Integration Workflow

1. Deploy the Feishu MCP Server (locally or in a container).
2. Configure your AI platform (e.g., Cursor, Claude) to point to the server’s endpoint—either via Command mode or SSE URL.
3. Invoke document queries from the assistant; the server handles authentication, fetches content, and streams results back in MCP format.
4. Respond with context‑aware answers or actions, such as opening a document for editing or generating a summary.

Distinct Advantages

• Native Feishu Support: Directly taps into Feishu’s API, eliminating the need for third‑party connectors.
• Security First: Leverages Feishu’s OAuth flow, ensuring that only authorized applications can access documents.
• Dual Transport Modes: Command mode for quick queries and SSE mode for continuous updates, giving developers flexibility to match their application’s latency requirements.
• Developer Friendly: Distributed as an npm package with a clear CLI, making it easy to start, test, and deploy in any JavaScript/TypeScript environment.

By providing a robust, protocol‑compliant bridge to Feishu’s document services, the Feishu MCP Server empowers developers to build smarter, more integrated AI experiences that stay within their organization’s existing collaboration stack.