"A platform for collaboration and communication - Feishu" matching MCP servers:

In-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.

Enables AI agents to control Feishu (Lark) through structured tools for messaging, calendar, tasks, and documents.

MCP server for operating Feishu Docs, folders, and attachments, and sending notifications via custom bot webhooks. Enables AI assistants to automate document workflows in Feishu.

Enables AI to read Feishu documents, send messages, and manage calendars with a focus on Chinese users and security.

Enables 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.

A shared communication bus for multiple agents using NATS and MCP, enabling MCP clients to list, message, and query agents.

Provides enrollment data query, aggregation, and cross-table comparison from Feishu multi-dimensional tables for AstrBot.

Deploys Feishu OpenAPI tools to Alibaba Cloud Function Compute, letting remote MCP clients like ChatGPT access and operate Feishu docs, sheets, wikis, drives, calendars, and tasks through user-authorized OAuth.

A local reverse proxy for Feishu MCP services that automatically manages tenant_access_token, enabling AI agents to interact with Feishu documents and tools seamlessly.

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.

Lets an AI assistant read and write business records in plain language, including looking up people, creating and updating tasks, logging time, and pulling utilization reports through a synthetic ops platform or an optional ClickUp adapter.

A read-only MCP server that enables AI agents to act as GCP platform engineers, allowing them to investigate incidents, take inventory, and find cost-optimization opportunities in Google Cloud projects without mutating any infrastructure.

Enables DeepSeek Harness and other MCP clients to maintain a personal wiki knowledge base — locally indexed full-text search across pages, idempotent page creation, append-only writes with mirrored revisions for rollback, and deletion limited to human-confirmed proposals.

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

Score 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.

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.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

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.

A Model Context Protocol server that enables AI assistants to interact with Feishu project management systems, allowing retrieval of project views and work items.

MCP server for operating and testing Android devices with AI agents. Provides observation and action tools for interactive control and spreadsheet-driven test runs.

Enables AI coding agents to request a second opinion from a different frontier model via a single tool call, with PII scrubbed before transit, live web search, and support for Claude, ChatGPT, Cursor, and Gemini.

提供A股实时行情、历史K线、财务报表、技术指标等全方位数据查询的MCP服务器，支持盘中即时更新及批量查询。

Enables sending text messages, files, and images to Feishu (Lark) group chats via MCP, with support for automatic default group configuration.

Enables real-time Feishu message monitoring, sending, file upload to cloud documents, and supports async and scheduled tasks via MCP.

Enables running a local multi-agent pipeline that turns a product idea into a validated technical spec, with tools to generate, deterministically check, LLM-review, and retrieve stored runs.

An internal MCP server providing Database (SQL execution) and Server (Linux SSH/SFTP) skills with 11 tools, enabling remote execution, risk control, and full audit via Claude Code or other clients.

Enables 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.

MCP server for Feishu/Lark API integration, enabling AI agents to send messages, manage groups, create and edit documents and spreadsheets, and search knowledge bases.

Wraps multiple bug bounty platform APIs (HackerOne, Bugcrowd, etc.) behind a uniform MCP tool surface, enabling LLM agents to query programs, scope, and briefs across platforms through a single interface.