Backlog MCP Server

# Product Context ## Project Purpose The Backlog MCP Server is a server that integrates Backlog's API with the [Model Context Protocol (MCP)](https://github.com/anthropics/model-context-protocol), allowing Claude AI assistant to directly access Backlog's project management features. ## Problems Solved 1. **AI and Backlog Integration** - Provides a means for large language models (LLMs) like Claude to access and manipulate Backlog data - Allows users to operate Backlog through AI assistants 2. **Project Management Efficiency** - Enables Backlog operations through natural language, reducing UI operations - Allows complex queries and batch operations to be delegated to AI 3. **Simplified Information Access** - Provides a unified access method to project, issue, Wiki, and Git information - Makes it easier to retrieve information across multiple Backlog features ## Key Use Cases 1. **Project Management** - Creating, updating, and deleting projects - Retrieving and analyzing project information 2. **Issue Management** - Creating, updating, and deleting issues - Searching and listing issues - Adding comments to issues 3. **Wiki Management** - Retrieving and searching Wiki pages - Analyzing Wiki information 4. **Git/Pull Request Management** - Retrieving repository information - Creating, updating, and commenting on pull requests - Retrieving and analyzing pull request lists 5. **Notification Management** - Retrieving and marking notifications as read - Counting and resetting notification counts 6. **Watch Management** - Retrieving lists of watched items - Counting watches ## User Experience Goals 1. **Seamless Integration** - Natural operation of Backlog from within Claude etc - Operation without being conscious of complex API details 2. **Multi-language Support** - Support for tool descriptions in multiple languages including Japanese and English - Providing a user experience tailored to the user's language environment 3. **Flexible Deployment** - Easy deployment via Docker - Customization of settings through environment variables 4. **Extensibility** - Easy adaptation to new Backlog API endpoints - Customization of functionality through custom descriptions