Collaboration Tools MCP 服务器

发现我们为 collaboration tools 精心策划的 MCP 服务器集合。浏览 726 个服务器，找到满足您需求的完美 MCP。

Enables AI agents to manage documents, collections, and other entities programmatically through the Outline knowledge base platform.

Enables LLMs to interact with Logseq graphs, create pages, manage blocks, and organize information programmatically.

Bridges Cocos Creator and Cursor AI for synchronized log information, aiding in efficient problem analysis and resolution.

Enables access to Jira data with relationship tracking, optimized data payloads, and data cleaning for AI context windows.

Manages and serves programming guidelines and rules to development tools for consistent coding standards.

Facilitates integration with Confluence and Jira by providing functionalities to execute queries and manage content.

Integrates with the Notion API to manage personal to-do lists using the Model Context Protocol.

Exposes the entire Notion API as a collection of tools that Large Language Models (LLMs) can use to interact with Notion seamlessly.

Enables interaction with Slack workspaces to post messages and query user lists via a Model Context Protocol client.

Runs terminal commands within a HyperChat environment.

Enables sending various types of messages to DingDing group robots via an MCP server.

Integrates with the Yuque API to provide a Model-Context-Protocol (MCP) server for interacting with the Yuque knowledge base platform.

Generates well-structured product requirements documents through a standardized Model Context Protocol interface.

Connects a Slack bot to Model Context Protocol (MCP) servers via SSE or Stdio.

Integrates Notion into AI workflows through a Model Context Protocol (MCP) server, allowing AI agents to interact with Notion pages and databases.

Integrates with Zendesk to manage tickets, comments, and access the Help Center knowledge base.

Connects to Jira and provides issue details and automation capabilities to AI coding agents like Cursor.

Manages contracts and templates through the eSignatures platform, allowing for creation, retrieval, modification, and collaboration.

Integrates Gyazo images into AI workflows via the Model Context Protocol.

Enables natural language management of Todoist tasks, projects, labels, and sections through Claude or other MCP-compatible LLMs.

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