Collaboration Tools MCP Servers
Discover our curated collection of MCP servers for collaboration tools. Browse 1064servers and find the perfect MCPs for your needs.
Zapier
Connects AI assistants to thousands of applications and services via the Model Context Protocol.
Teamwork
Simplifies interaction with the Teamwork API through an MCP server, streamlining project and task management.
Backlog
Connects AI assistants and MCP clients to the Backlog API, enabling extensive interaction with project management functionalities.
Miro
Connects AI agents to Miro boards, enabling them to read board context, create diagrams, and generate code while maintaining enterprise-grade security.
Linear
Integrates Linear as a context server for Zed's Assistant.
Attendee
Manages Attendee meeting bots, enabling creation, status checks, and transcript retrieval via AI tools like Claude Desktop.
Backlog
Provides an MCP server for accessing the Backlog API to manage projects, track issues, and handle files.
Speckle
Provides a bridge between Speckle's API and client applications for interacting with AEC tools.
Kibela
Enables AI assistants to securely search and reference content stored within Kibela.
DingDing Bot
Enables sending text and markdown messages to DingTalk groups via a custom robot.
Kibela
Connects Kibela to Model Context Protocol (MCP) clients for enhanced AI integration.
Chat Analysis
Enables semantic analysis of chat conversations through vector embeddings and knowledge graphs.
Social Media
Enables AI agents to interact within team-based social media platforms.
ClaudeKeep
Enables users to save and share their Claude AI conversations using Model Context Protocol (MCP) within the Claude Desktop application.
DingTalk
Facilitates seamless integration with various DingTalk enterprise collaboration services, including contact management, messaging, and scheduling.
Slack User
Enables Claude to interact with Slack workspaces as a user via the Slack API.
Mcp Client App
Enables chat conversations with AI models and grants them tool execution capabilities through the Model Context Protocol (MCP).
Confluence Context
Provides prompts for retrieving Confluence page content to be used as context with AI assistants.
Cosense
Provides an interface for interacting with Cosense pages through a standardized protocol.
Heptabase
Enables AI assistants to interact with Heptabase backup data for searching, retrieving, analyzing, and exporting whiteboards and cards.
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