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maintenanceIn-memory MCP server for cooperative collaboration between separate agents, enabling topic-based messaging and coordination via tools like create_topic, join_topic, send_message, read_messages, and check_in.
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"Information about Feishu (Lark) collaboration platform" matching MCP servers:
- Alicense-qualityDmaintenanceEnables AI agents to control Feishu (Lark) through structured tools for messaging, calendar, tasks, and documents.3MIT
- FlicenseAqualityBmaintenanceAn MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.11
- FlicenseAquality-maintenanceEnables 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.9
- AlicenseBqualityCmaintenanceFeishu 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.2MIT
- AlicenseBqualityCmaintenanceEnables AI clients to operate Feishu/Lark through MCP protocol, including sending messages, managing chats, accessing contacts, and checking calendar.8MIT
- Alicense-qualityDmaintenanceEnables sending text messages, files, and images to Feishu (Lark) group chats via MCP, with support for automatic default group configuration.MIT
- Alicense-qualityFmaintenanceMCP server for operating Feishu Docs, folders, and attachments, and sending notifications via custom bot webhooks. Enables AI assistants to automate document workflows in Feishu.1MIT
- Alicense-qualityBmaintenanceEnables AI agents to use Feishu (Lark) spreadsheets as long-term memory and personal knowledge base with retrieval-augmented generation (RAG) via the Model Context Protocol.MIT
- Alicense-qualityBmaintenanceMCP server for Feishu/Lark API integration, enabling AI agents to send messages, manage groups, create and edit documents and spreadsheets, and search knowledge bases.MIT
- Flicense-qualityCmaintenanceHandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。1
- Flicense-qualityCmaintenanceA self-hosted MCP server for managing a Feishu (Lark) demand pool and archiving daily reports. It exposes tools to list, get, create, update demands, and archive daily reports.
- Flicense-qualityDmaintenanceEnables AI tools to extract Feishu documents (Docx/Wiki) via Feishu Open API and convert them to Markdown format with local image downloading and authentication.1
- FlicenseAqualityBmaintenanceEnables reading, creating, updating, and appending Feishu documents, as well as querying and updating Bitable fields and records via the MCP protocol.12
- AlicenseAqualityDmaintenanceScore your agent's governance (0-100), lint MCP tool definitions, and estimate costs across all major models. Free diagnostic tools with no API key needed. Expert skill files on governance, economics, and system architecture available with free tier.81MIT
- AlicenseBqualityDmaintenanceEnables AI to read Feishu documents, send messages, and manage calendars with a focus on Chinese users and security.9MIT
- AlicenseBqualityFmaintenanceA Model Context Protocol server that enables AI assistants to interact with Feishu project management systems, allowing retrieval of project views and work items.612MIT
- Alicense-qualityBmaintenanceMCP server for operating and testing Android devices with AI agents. Provides observation and action tools for interactive control and spreadsheet-driven test runs.Apache 2.0
- Alicense-qualityBmaintenanceEnables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.37Apache 2.0
- Alicense-qualityFmaintenanceEnables AI agents to interact with collaborative Jupyter notebooks and documents in real-time, supporting notebook operations, document editing, user awareness tracking, and session management through Jupyter's RTC capabilities.MIT
