Discover our curated collection of MCP servers for collaboration tools. Browse 1064servers and find the perfect MCPs for your needs.
Facilitates seamless integration with various DingTalk enterprise collaboration services, including contact management, messaging, and scheduling.
Enables AI assistants to programmatically manage Jira issues through the Jira REST API.
Enables access and modification of kintone data from applications supporting the Model Context Protocol.
Enables seamless integration between Large Language Models and Teamwork.com for project management operations.
Orchestrates the entire software development lifecycle, bridging Product Managers, Developers, and AI to transform product ideas into reality.
Provides an interface for interacting with Cosense pages through a standardized protocol.
Connects AI assistants to Buildable projects for contextual understanding, task management, and real-time collaboration.
Enables interaction with the Salesforce Agentforce API for authentication, session creation, and message exchange.
Enables Claude to interact with Slack workspaces as a user via the Slack API.
Provides AI agents with programmatic access and control over Google Drive, Docs, Sheets, Slides, Calendar, Gmail, and Contacts services.
Connects LangChain ReAct Agents to any Model Context Protocol (MCP) server.
Manages a personal to-do list within Notion using Claude through a minimalist Model Context Protocol (MCP) server.
Manages FreeScout helpdesk tickets, automates workflows, and provides intelligent analysis for customer support.
Facilitates searching and retrieving information from DevRev using its APIs.
Enables AI assistants to interact with Microsoft Outlook email, calendar, and SharePoint through the Microsoft Graph API.
Integrates a Model Context Protocol (MCP) server for GitLab within the Zed editor.
Enables searching, reading, and accessing files stored on Box.
Provides a shared memory layer to keep AI coding agents synchronized across different tools and tasks, ensuring no context is lost during collaborative development.
Converts AI agent plans into structured markdown task lists and organizes them within a repository.
Integrates the Productboard API into agentic workflows.
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