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。1369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。
Enables AI assistants to manage and track shared expenses within the Gatherings application via the Machine Conversation Protocol.
Integrates Trello boards with the Model Context Protocol, enabling interaction with cards, lists, and board activities.
Integrates various services with Claude and other LLMs using the Model Context Protocol.
Integrates the Claude language model with Trello project management through an MCP Server powered by Smithery.ai.
Enables collaborative workflows through multiple AI agent interactions.
Enables interaction with the Asana API from Model Context Protocol clients like Anthropic's Claude Desktop Application.
Integrate Clockify's time management and project tracking directly into Claude conversations.
Automate comprehensive management and real-time operations across the entire Microsoft 365 ecosystem by leveraging the Microsoft Graph API.
Enables autonomous communication and coordination among multiple Claude Code agents through a local server, facilitating multi-agent networks without external API keys.
Integrate Slack messaging functionalities, including posting, reading history, and replying to threads, into AI editors and terminals via Model Context Protocol.
Connects AI assistants to Telegram as a real user account for messaging, chat management, media transfer, and more using MTProto.
Empowers AI assistants with cryptographic control over compressed archives, enabling secure creation, extraction, verification, encryption, and signing.
Facilitate reliable communication between AI agents and business agents across company boundaries using Google's A2A protocol.
Integrates FeaturesVote with AI assistants to streamline the management of feature requests, releases, voters, comments, and changelogs.
Provides a lightweight server that exposes Jira operations for AI tools.
Provides a Model Context Protocol server exposing tools for project planning and execution workflows, including tasks, decisions, facts, milestones, comments, and team messaging.
Facilitates communication and coordination between multiple AI agents through shared channels and persistent messaging.
Enables AI agents to interact with Zulip streams, messages, and direct messages.
Expose a Matrix account's chat capabilities and data to an MCP-capable workflow for inspection and interaction.
Exposes enterprise platforms like Jira, GitHub, Confluence, and Slack to AI agents via the Model Context Protocol.
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