fogbugz-mcp
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A Model Context Protocol (MCP) server for interacting with FogBugz through Language Learning Models (LLMs) such as Claude.
The FogBugz MCP Server is designed to facilitate interactions between Language Learning Models (LLMs) and the FogBugz platform. It allows LLMs to perform a variety of operations such as creating new issues or cases, updating existing cases, assigning cases to users, listing open cases for a user, and searching for cases based on specific criteria. The server adheres to the Model Context Protocol (MCP) specification, making it compatible with any MCP-enabled LLM client. The project was initiated with the assistance of OpenAI's o3-mini-high model, which provided a detailed development plan. This plan served as a guide for the development team, showcasing the potential of AI in project planning and design. The FogBugz MCP Server is both a testament to AI-assisted development and a tool that enhances AI capabilities through the MCP protocol.
Features
- Create new issues/cases with optional attachments
- Update existing cases (project, area, milestone, priority)
- Assign cases to specific users
- List a user's open cases
- Search for cases by various criteria
Tools
fogbugz_create_case
Create a new FogBugz case
fogbugz_update_case
Update an existing case's fields
fogbugz_assign_case
Assign a case to a specific user
fogbugz_list_my_cases
List cases assigned to a specific user
fogbugz_search_cases
Search for cases using a query string
fogbugz_get_case_link
Get a direct link to a specific case