Discover our curated collection of MCP servers for collaboration tools. Browse 1431 servers and find the perfect MCPs for your needs.
Enables AI assistants to fetch data from Linear through the Model Context Protocol (MCP).
Enables interaction with the esa.io API via the Model Context Protocol (MCP).
Enables AI assistants to manage Google Calendar events through natural language interactions.
Summarizes chat messages based on user queries.
Integrates the Rhombus API to provide chatbot tools.
Manages core services and data for online community platforms.
Provides a foundational Python application for building chatbots integrated with the Azure Bot Framework.
Enables AI models and tools to integrate with Gmail accounts for email operations.
Enables advanced Slack integration for comprehensive automation, analytics, and workspace management.
Enables AI assistants to seamlessly interact with the Discord platform.
Facilitates natural language interaction between AI assistants and the Inflectra Spira platform for managing software development and testing artifacts.
Enables AI agents to interact with the Redmine API for comprehensive project, issue, and time management.
Automate desk and room bookings, availability checks, and booking management within a Seatsurfing instance.
Facilitates advanced coordination and structured workflows for multiple AI agents tackling complex software development tasks.
Facilitates communication and coordination between multiple Claude Code AI agents, enabling them to exchange information, report issues, and share specifications.
Manages multi-account IMAP/SMTP email with a comprehensive suite of 22 tools for reading, sending, searching, organizing, threading, and batch operations, featuring robust connection handling and OAuth2 support.
Enables AI agents to programmatically interact with Google Sheets for data management and manipulation.
Coordinates multi-agent workflows for Cursor and Claude Code, offering structured task management, review loops, and configurable collaboration strategies.
Enables AI assistants to manage projects, tasks, members, milestones, and statuses within devDash via the Model Context Protocol (MCP).
Enables natural language interaction with Jira for querying, creating, and updating issues, projects, and users through Model Context Protocol clients.
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