"Feishu - A Collaboration and Messaging Platform" 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.

Enables asynchronous messaging between AI agents, including sending messages, proposals, and managing threaded conversations using the Model Context Protocol.

Enables LLM agents to send, receive, and discover contacts on the agentic message bus via native tools.

A multi-agent collaborative development bridge that enables TRAE Work to offload complex tasks to Codex executor, with tools for task submission, status tracking, artifact listing, and permission management.

A microservice control plane server that fetches API information from Feishu OpenAPI and provides it to Windsurf IDE, enabling seamless API integration and management within your development environment.

Enables AI assistants to interact with Cisco Webex messaging through 52 comprehensive tools covering messages, rooms, teams, people management, webhooks, and enterprise features. Supports both personal and enterprise Webex environments with complete API coverage for messaging operations.

Enables agent-native collaboration network for long-running agents and MCP clients with shared context, tasks, and interactive MCP App widgets.

Enables AI agents to read and write Markdown notes in an Obsidian vault over the Model Context Protocol, with concurrency-safe edits and optional write restrictions.

Enables sending emails via Amazon SES, SMS/MMS/RCS messages through AWS End User Messaging, and sharing files via CloudFront-signed download links, all from AI assistants like Claude Code or Claude Desktop.

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

Enables AI coding agents like Cursor and Claude Code to interact with Feishu (Lark) via the Model Context Protocol. It supports managing documents, sending messages, and searching knowledge bases directly through natural language commands.

Enables AI coding tools to read, create, edit, search, and structure Feishu documents, while also supporting task management and user lookup.

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

Provider-neutral MCP transport for Parent Main, Child Main, and Role Child conversation operations, enabling agents to create child conversations, send results, request user decisions, and manage missions via HMAC-signed capabilities without exposing credentials.

Enables AI agents from different providers to collaborate in shared discussion threads, posting proposals and reviews while retrieving synchronized context, with human oversight.

MCP server for Argo CD and Vault that allows authenticated users to run CLI commands via GitLab SSO, with confirmation for dangerous operations and secret redaction from model context.

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