collaboration tools向けの厳選されたMCPサーバーコレクションをご覧ください。1542個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Enforces standardized development rules and context for Business Central projects.
Enables programmatic browsing and interaction with OneNote web app notebooks via browser automation.
Enables interaction with a Notion workspace through Claude and other LLMs.
Enables interaction with the Confluence API through MCP.
Integrates with Mattermost to retrieve and process information via the Model Context Protocol.
Enables efficient read-only access to Notion content for AI assistants by reducing the number of exposed API tools.
Provides an AI memory system offering project-isolated persistent memory banks for coding assistants.
Integrates Confluence with AI assistants, enabling natural language interactions with documentation.
Provides a user confirmation interface for AI assistants through a personal terminal endpoint.
Enables intelligent AI persona collaboration and analysis through a Model Context Protocol (MCP) client.
Facilitates communication between multiple agents by providing a SQLite-backed message queue for asynchronous message exchange.
Integrate Fathom.video meeting data with AI coding assistants for enhanced context and productivity.
Integrates the Pylon customer support platform with AI agents via the Model Context Protocol (MCP).
Integrates AI agents with Dida365 and TickTick for comprehensive task and project management.
Manages structured memory across chat sessions for project-based AI assistant work.
Manage Bitrix24 tasks, workgroups, and users through a standardized MCP/JSON-RPC interface.
Connects AI assistants like Claude, GitHub Copilot, and Cursor to your GitScrum project management workspace, providing full operational access to tasks, sprints, CRM, and more.
Facilitates remote control and multi-agent team management for Claude Code via Slack.
Provides natural language access to YouTrack instances, enabling interaction with issues, time tracking, agile boards, and more through MCP-compatible clients.
Consolidate multiple AI tool connections behind a single interface, offering discovery, namespacing, and execution policies to optimize token usage.
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