pleasanter-mcp-server
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Pleasanter MCP Server enables AI assistants to interact with Pleasanter projects and tasks through the Model Context Protocol.
The Pleasanter MCP Server is designed to facilitate seamless integration between AI assistants and the Pleasanter project management platform. By leveraging the Model Context Protocol (MCP), this server allows for efficient management and manipulation of projects and tasks within Pleasanter. Users can perform a variety of operations such as creating, reading, updating, and deleting tasks, as well as conducting advanced searches and analyses. The server is built to support dynamic resources, providing real-time project status and task data. It is compatible with various operating systems and can be configured to work with Claude Desktop, enhancing productivity and project oversight.
Features
- Task Management: Create, read, update, and delete tasks within Pleasanter.
- Advanced Search: Perform complex filtering and searching across projects.
- Analytical Tools: Conduct trend analysis and project status summaries.
- Bulk Operations: Efficiently process multiple tasks at once.
- Dynamic Resources: Access real-time project status and task data.
Tools
pleasanter_create_issue
Create a new task in Pleasanter.
pleasanter_get_issues
Retrieve and search tasks.
pleasanter_update_issue
Update an existing task.
pleasanter_delete_issue
Delete a task.
pleasanter_bulk_create_issues
Create multiple tasks in bulk.