发现我们为 collaboration tools 精心策划的 MCP 服务器集合。浏览 1146 个服务器,找到满足您需求的完美 MCP。
Exposes the official Notion SDK as a Model Context Protocol server, enabling AI models to interact with Notion workspaces.
Provides prompts for retrieving Confluence page content to be used as context with AI assistants.
Converts AI agent plans into structured markdown task lists and organizes them within a repository.
Enables AI assistants to interact with Confluence content through a standardized interface.
Enables searching, reading, and accessing files stored on Box.
Enables AI assistants to interact with and manage Feishu project management systems via the Model Context Protocol (MCP).
Enables access and modification of kintone data from applications supporting the Model Context Protocol.
Connects LangChain ReAct Agents to any Model Context Protocol (MCP) server.
Integrates Simplenote with Claude Desktop, enabling interaction with notes as a memory backend or content source.
Integrates Azure DevOps with Cursor IDE, providing access to projects, work items, repositories, and pull requests.
Manages a personal to-do list within Notion using Claude through a minimalist Model Context Protocol (MCP) server.
Enables interaction with the Salesforce Agentforce API for authentication, session creation, and message exchange.
Enables AI assistants to interact with Heptabase backup data for searching, retrieving, analyzing, and exporting whiteboards and cards.
Enables AI assistants to interact with Redmine instances for project and issue management via the Model Context Protocol.
Facilitates searching and retrieving information from DevRev using its APIs.
Enables collaborative team use of Claude Code by integrating it directly into Slack.
Maintains a persistent, shared AI memory layer for teams, ensuring conversational context across sessions and collaborators.
Integrates Google Workspace services like Gmail, Calendar, and Drive through an MCP server.
Facilitates multi-LLM deliberation where multiple LLMs collaboratively answer questions through peer review and synthesis.
Decompose complex software projects into parallel executable tasks using an AI-powered cascading development framework.
Scroll for more results...