"Information about Feishu (Lark) collaboration platform" matching MCP servers:

Feishu Access Bridge enables reading Feishu (Lark) Wiki pages, documents, spreadsheets, and multi-dimensional tables. It supports user OAuth, enterprise app, or browser session access modes via CLI and MCP tools.

Provides access to Feishu (Lark) documents for AI-driven coding tools like Cursor, Windsurf, and Cline based on Model Context Protocol implementation.

An MCP-based service that enables AI models to seamlessly interact with Feishu (Lark) platform, supporting document reading and chatbot messaging capabilities.

lark-tools-mcp connects Lark and cursor. It provides cursor with the ability to read documents, send messages, process tasks, and perform data analysis.

Enables AI applications to access Feishu (Lark) knowledge base and cloud documents through the MCP protocol.

Enables cloud AI agents to search and read an organization's Feishu Docs and Wiki through an OAuth-protected, read-only remote MCP connection that uses the signed-in user's own permissions. It exposes four read-only tools for keyword search, original document retrieval, Wiki navigation, and connection status without running a model or mirroring content.

Enables extracting explicitly stated contract metadata, clauses, and obligations from user-supplied contract text without storing or modifying the data.

Enables AI tools to extract Feishu documents (Docx/Wiki) via Feishu Open API and convert them to Markdown format with local image downloading and authentication.

Enables reading Feishu documents and Wiki pages, including full content and metadata, via MCP protocol.

Enables users to read, create, and edit Feishu Docx/Wiki pages and browse knowledge spaces through user-authorized Feishu credentials.

Enables users to look up, search and compare the listing and submission requirements that Claude, ChatGPT, Cursor and the Official MCP Registry impose on connectors and plugins. Every answer comes from a bundled, read-only dataset and carries source citations, an evidence label and the date the requirement was last verified.

Enables MCP-based access to Adhoc documentation, providing search, content retrieval, and feedback issue creation with audience gating and leak protection.

About MCP server for Google Agent Platform Docs — Google AI + Vertex AI. 3400+ pages searchable by AI agents.

Enables AI agents to answer Power Platform governance questions — data policies, connectors, environments, Managed Environments, security roles, the CoE Starter Kit and ALM — using hybrid keyword-plus-semantic search over Microsoft's documentation, with a deep link to the exact section behind every answer. It runs locally without API keys, offers read-only search, section-reading and document-listing tools, and connects to Claude, VS Code and Copilot Studio.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Enables Codex to access Feishu knowledge bases and authorized shared cloud drives, allowing listing, searching, and reading wikis, documents, spreadsheets, bitable, and files, with scoped and approval-gated create and edit capabilities.

Acts as a bridge between AI agents and Feishu/Lark, enabling document search and reading with adaptive format conversion to Markdown.

Enables AI agents to inspect verified multi-cloud architectures, certifications, runbooks, and projected FinOps cost savings, and to submit encrypted consultation inquiries through MCP.

MCP server that retrieves up-to-date Google Maps Platform documentation and code samples to ground AI-generated code in official guidance.

Provides a RAG-based search system for 1C:Enterprise platform documentation using hybrid BM25 and semantic search across multiple versions. It enables developers to retrieve API signatures, methods, and usage examples directly within IDEs or through a REST API.