Enables seamless integration of large language models with Jira via Model Context Protocol, providing tools to list projects, boards, sprints, issues, and create task-type issues for enhanced project management automation.

A powerful backend service supporting file management, MongoDB integration, external API calls, and vector database operations, designed for seamless Model Context Protocol (MCP) integration with large language models and featuring full Docker deployment and client examples.

A customizable Model Context Protocol (MCP) server template enabling seamless integration with Cursor IDE for creating, deploying, and managing AI-powered tools via SSE or stdio transport with easy Docker and traditional setup options.

Provides robust Model Context Protocol (MCP) services enabling seamless integration, management, and communication of AI model contexts for enhanced application performance and scalability.

Implements the Model Context Protocol to enable structured human-AI interaction with tools for filesystem management, reasoning, and journaling, supporting cross-platform integration and seamless workspace context handling.