FogBugz MCP Server

A Model Context Protocol (MCP) server for interacting with FogBugz through Language Learning Models (LLMs) such as Claude.

Overview

This server allows LLMs to perform various operations on FogBugz including:

• Creating new issues/cases with optional attachments

• Updating existing cases (changing project, area, milestone, priority)

• Assigning cases to specific users

• Listing a user's open cases

• Getting direct links to specific cases

• Searching for cases by various criteria

The server implements the Model Context Protocol (MCP) specification, allowing it to be used by any MCP-compatible LLM client.

Project Background

This project was initiated with the help of OpenAI's o3-mini-high model, which generated a comprehensive development plan (see DEVELOPMENT-PLAN.md in the repository). The plan outlined the architecture, tools, and implementation details for building a FogBugz MCP server in TypeScript.

The detailed specification served as a blueprint for the development team, demonstrating how AI can effectively assist in the early phases of project design and planning. This project is both an example of AI-assisted development and a tool that enhances AI capabilities through the MCP protocol.

Installation

Usage

Basic Usage

Development

API Explorer

The project includes an API explorer tool for testing FogBugz API endpoints directly:

MCP Tools

This server provides the following MCP tools for LLMs:

• 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

License

ISC