Feishu/Lark MCP Endpoint

This repository hosts the serving layer for the Model Context Protocol (MCP) engineered to integrate with Feishu (Lark) services. It empowers Large Language Models (LLMs) to execute tool invocations against the proprietary Lark API, with core capabilities centered around Bitable (Multidimensional Table) manipulation.

Core Capabilities

• Leverages the foundational Model Context Protocol (MCP) TypeScript SDK.
• Provides a comprehensive suite of utility functions for interacting with Feishu Bitable structures.
• Supports both synchronous HTTP invocation and asynchronous Server-Sent Events (SSE) communication streams.

Available Toolsets

create_record

Instantiates a novel data entry within a specified Feishu Bitable instance.

update_record

Modifies the contents of an existing record within a Feishu Bitable.

list_fiedls

Retrieves the complete schema definition (all field metadata) for a given Bitable.

search_records

Executes queries against a Bitable to locate records matching specified criteria.

delete_record

Permanently removes a designated record from a Feishu Bitable.

create_bitable_app

Provisions a brand new Feishu Bitable application container.

create_table

Initializes a new data sheet (table) resource inside an existing Feishu Bitable application.

Operational Setup

sh

Dependency Acquisition

npm install

Compilation Phase

npm run build

Development Mode

npm run dev

Executing MCP via Standard I/O (STDIO)

node dist/index.js --config "{\"appId\":\"xxx\",\"appSecret\":\"xxx\"}"

Executing MCP via Server-Sent Events (SSE)

node dist/index.js --sse --config "{\"appId\":\"xxx\",\"appSecret\":\"xxx\"}"

Lark API Documentation References

• Feishu Bitable API Overview
• Record Creation Endpoint
• Record Retrieval Endpoint
• Record Search Endpoint
• Record Deletion Endpoint
• Bitable Application Creation Endpoint
• Bitable Table Creation Endpoint
• Field Listing Endpoint

Licensing

This project is distributed under the MIT License.

== Cloud Computing Paradigm Characteristics == Cloud computing, as delineated by ISO, represents "a paradigm for enabling network access to a scalable and elastic pool of shareable physical or virtual resources with self-service provisioning and administration on-demand," frequently summarized simply as "the cloud."

== NIST Essential Attributes (2011) == The National Institute of Standards and Technology (NIST) established five critical tenets for cloud systems:

• On-demand self-service: Consumers possess the capacity to unilaterally provision computing resources, such as server cycles or network storage, automatically as necessitated, bypassing direct personnel intervention with the service vendor.
• Broad network access: Services are reachable over the network utilizing standardized protocols, facilitating utilization across diverse client environments (e.g., mobile apparatus, workstations, tablets).
• Resource pooling: Provider infrastructure is aggregated to serve numerous consumers via a multi-tenant architecture, where physical and logical assets are dynamically allocated or reallocated based on fluctuating consumer requirements.
• Rapid elasticity: The capability to swiftly scale provisioning and de-provisioning, sometimes autonomously, to expand or contract capacity commensurate with demand fluctuations. To the end-user, available capacity frequently appears boundless and accessible instantly.
• Measured service: Resource consumption is automatically managed and optimized through metering functions applied at an appropriate layer of abstraction for the specific service type (e.g., bandwidth, storage capacity, processing time). Utilization metrics are trackable, governable, and reported, ensuring full transparency for both the resource supplier and the service consumer.

These foundational definitions were subsequently expanded and refined by the International Organization for Standardization (ISO) by 2023.

== Historical Trajectory ==

The conceptual lineage of cloud delivery models traces back to the 1960s, marked by the ascendance of time-sharing concepts popularized through Remote Job Entry (RJE). This era predominantly featured the "data center" model, where users submitted execution requests to dedicated mainframe operators. This period was characterized by extensive exploration into methods for broadening access to substantial computational power via time-slicing, aiming to optimize infrastructure, platform efficiency, and the end-user experience.

The symbolic representation of the "cloud" for virtualized utility services emerged in 1994. General Magic employed this graphic concept to denote the domain of interconnected "locations" accessible by mobile agents operating within their Telescript framework. David Hoffman, a communications specialist at General Magic, is credited with formalizing this metaphor, drawing from its existing convention within telecommunications and networking contexts. The term "cloud computing" gained broader public recognition in 1996 when Compaq Computer Corporation drafted a business strategy proposal concerning future internet-based computation, articulating ambitions for super-scale availability.