collaboration tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1146개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides prompts for retrieving Confluence page content to be used as context with AI assistants.
Enables users to save and share their Claude AI conversations using Model Context Protocol (MCP) within the Claude Desktop application.
Enables interaction with Confluence through CQL queries and content retrieval.
Provides a bridge between Speckle's API and client applications for interacting with AEC tools.
Enables AI assistants to securely search and reference content stored within Kibela.
Integrates the Productboard API into agentic workflows.
Enables Claude to interact with Slack workspaces as a user via the Slack API.
Enables semantic analysis of chat conversations through vector embeddings and knowledge graphs.
Enables sending text and markdown messages to DingTalk groups via a custom robot.
Connect AI assistants like Claude to a Notion workspace, enabling interaction with databases, pages, and blocks.
Enables access and modification of kintone data from applications supporting the Model Context Protocol.
Provides an MCP server for accessing the Backlog API to manage projects, track issues, and handle files.
Enables chat conversations with AI models and grants them tool execution capabilities through the Model Context Protocol (MCP).
Enables AI assistants to interact with Heptabase backup data for searching, retrieving, analyzing, and exporting whiteboards and cards.
Enables AI agents to interact within team-based social media platforms.
Empower AI agents with secure, real-time access to Discord's API and events.
Orchestrates the entire software development lifecycle, bridging Product Managers, Developers, and AI to transform product ideas into reality.
Enables AI assistants to interact with Fizzy project management data through the Model Context Protocol.
Enables AI assistants to interact with Microsoft Outlook email, calendar, and SharePoint through the Microsoft Graph API.
Provides a shared memory layer to keep AI coding agents synchronized across different tools and tasks, ensuring no context is lost during collaborative development.
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