# Team Collaboration

A powerful Vercel management protocol server that provides comprehensive Vercel deployment management functions through Cursor and Codeium

Unofficial TeamRetro MCP service interface, providing functions for standardized access to the TeamRetro platform

An MCP server integrated with the Figma API, providing functions such as file operations, comment management, team project functions, and Webhook management.

A server that enables Claude AI to interact with the esa API through the MCP protocol to automate document management.

An implementation of the ClickUp MCP Server, providing AI assistants with the ability to interact with ClickUp workspaces

An MCP service tool for integrating JIRA and Claude, which can create JIRA tickets directly in conversations, support custom fields, and automatically create associated test tickets.

An MCP server for interacting with the Linear API, providing a toolset for managing Linear issues, projects, and teams.

MCP Atlassian is an integrated tool that provides Model Context Protocol services for Atlassian products (Confluence and Jira). It supports cloud and server/data - center deployments and can implement functions such as content search, page management, and issue tracking.

The Mattermost MCP Server is an API service that connects MCP clients such as Claude with Mattermost workspaces, providing functions such as channel monitoring, message management, and user query.

The Linear MCP Server is a service based on the Model Context Protocol, providing integration with the Linear issue tracking system and allowing LLMs to interact with Linear issues through the MCP protocol. The server includes 24 tools and various resources, supporting functions such as issue management, team collaboration, project management, and tag classification.

This is an MCP server for Linear, allowing Claude to manage teams, issues, projects, and cycles in Linear through the API. It provides various operation functions and supports secure authentication.

The MCP Teams Server is an implementation of the MCP protocol server for Microsoft Teams integration, supporting functions such as reading, creating, replying to messages, and mentioning members.

This is an MCP server that provides integration for Linear issue tracking and project management, supporting functions such as creating and searching for issues, managing iteration tasks, and querying teams and projects.

The Linear MCP Server is a custom - implemented Model Context Protocol server that provides tools for interacting with the Linear API, enabling AI agents to programmatically manage issues, projects, and teams through the Linear platform.

This project deploys the MCP server through Google Cloud Run, uses GCP IAM authentication to achieve secure access, and provides a temporary solution for teams to share the SSE MCP service.

An advanced Python library for building and managing an autonomous agent network that collaboratively solves complex tasks. It is designed based on the OpenAPI standard and provides a concise type - safe interface and team - collaboration features.

The Excalidraw MCP Server is an integration tool that provides a drawing API for large language models, supporting the creation, modification, and management of Excalidraw charts, including element control, resource management, and team collaboration functions.

The Dart MCP Server is an implementation of the model context protocol (MCP) server based on Dart, providing functions for task management, document processing, and space organization, and supporting integration with AI assistants.

Teamwork MCP is a server that connects to the Teamwork API, providing a simplified interface to manage projects, tasks, and people.

This is an MCP server that provides integration for Linear issue tracking and project management, supporting functions such as creating and searching for issues, managing sprints, and teams.

An MCP server based on the Linear API that provides tools for AI agents to manage issues on the Linear platform

MCP integration service for Confluence and Jira

Raygun's MCP server provides comprehensive access to API functions such as error monitoring, performance analysis, deployment management, and team collaboration.

A server that provides standardized development rules and context for Business Central projects

Raygun's MCP server provides access to the API V3 endpoints for Crash Reporting and Real User Monitoring applications.

Teamwork MCP is a server that connects to the Teamwork API, providing a simplified interface to manage functions such as projects, tasks, people, and reports in Teamwork. It supports integration with applications such as Cursor through the MCP protocol, and includes a rich set of tools and flexible permission control.

This project is a Model Context Protocol (MCP) server implemented for Mattermost integration. It retrieves and processes information by connecting to Mattermost API endpoints, supports two transmission modes (SSE and standard I/O), and provides real-time message processing and team/channel monitoring functions.