Collaboration Tools MCP Servers

Discover our curated collection of MCP servers for collaboration tools. Browse 818servers and find the perfect MCPs for your needs.

Provides a multi-dimensional, adaptive, and collaborative reasoning framework for AI assistants.

Integrates Fibery with LLM providers, enabling natural language interaction with your Fibery workspace.

Enhances development workflows with AI-powered search, RAG capabilities, and integrations for GitLab, Jira, Confluence, and YouTube.

Enables AI models to interact with Notion's API for advanced todo management and content organization.

Enables AI assistants to interact with Atlassian Data Center products (Jira, Confluence, and Bitbucket) through the Model Context Protocol (MCP).

Integrates Vapi APIs with function calling using the Model Context Protocol.

Integrates with Zendesk to manage tickets, comments, and access the Help Center knowledge base.

Enables interaction with the Coda API by acting as a Model Context Protocol (MCP) server.

Integrates Gyazo images into AI workflows via the Model Context Protocol.

Enables AI assistants to interact with Bitbucket repositories and resources through the Model Context Protocol.

Enables LLMs to interact with Logseq graphs, create pages, manage blocks, and organize information programmatically.

Connects AI systems to Atlassian Confluence knowledge bases by providing tools for accessing and searching Confluence spaces, pages, and content.

Bridges Cocos Creator and Cursor AI for synchronized log information, aiding in efficient problem analysis and resolution.

Provides a task management system with support for project organization, task tracking, and PRD parsing.

Integrates with the Yuque API to provide a Model-Context-Protocol (MCP) server for interacting with the Yuque knowledge base platform.

Integrates Notion into AI workflows through a Model Context Protocol (MCP) server, allowing AI agents to interact with Notion pages and databases.

Integrates with Gerrit code review system, enabling AI assistants to review code changes and their details.

Systematically refines thoughts and designs through iterative drafts and focused critiques using AI.

Generates well-structured product requirements documents through a standardized Model Context Protocol interface.

Integrates with the Notion API to manage personal to-do lists using the Model Context Protocol.

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