"Information about 飞书 (Feishu)" matching MCP servers:

飞书多维表格

一个基于Model Context Protocol的SQLite数据库查询服务，为AI应用提供标准化的数据库访问、安全的SQL查询执行以及表结构预览功能。

A Model Context Protocol server that exposes Firebase Firestore and Authentication to AI agents, supporting multi-project configurations and read operations.

A Model Context Protocol server that provides LLMs with read and write access to Feishu Base (飞书多维表格) databases, enabling them to inspect schemas and manipulate records through natural language.

Enables production lines to self-service register data sources and tools, and downstream AI agents to discover and invoke them through the standard MCP protocol.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

Enables reading, creating, updating, and appending Feishu documents, as well as querying and updating Bitable fields and records via the MCP protocol.

An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB.

Enables access to the Hugging Face Hub API to search and retrieve information about machine learning models, datasets, and their metadata. Provides comprehensive tools for exploring the Hugging Face ecosystem including model details, dataset information, and parquet file access.

Enables interaction with Feishu (Lark) multidimensional tables (Bitable) through MCP tools, supporting operations like creating/updating/querying records, batch operations, and application management with automatic token refresh.

A Model Context Protocol server that connects to a Magento 2 REST API, allowing Claude and other MCP clients to query product information, customer data, and order statistics from a Magento store.

A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.

Enables large language models to retrieve up-to-date and correct information about dlt pipelines, datasets, and schemas, improving AI-assisted development.

Provides an MCP protocol interface for interacting with Elasticsearch 7.x databases, supporting comprehensive search functionality including aggregations, highlighting, and sorting.

A Model Context Protocol server that provides natural language access to Cortex API, enabling users to query information about their system's structure and make faster decisions about services, incidents, and team responsibilities.

A dedicated MCP server for interacting with Microsoft Dynamics 365 and Dataverse tools via the g-gremlin CLI. It enables users to read, analyze, and perform write operations on Dataverse environments through supported MCP clients.

Turns Django models into MCP tools and a REST API from a single class, and can generate a Django project from a MySQL or Postgres schema.

A dedicated Model Context Protocol server that enables AI clients to interact with Salesforce tools for data analysis and management via the g-gremlin CLI. It supports both read-only and write-enabled operations for seamless integration with tools like Claude Desktop and Cursor.

An MCP server that provides detailed information about your development environment to the Cursor code editor, enabling more context-aware assistance.

A Python-based server that interacts with EPICS process variables, allowing users to retrieve PV values, set PV values, and fetch detailed information about PVs through a standardized interface.