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 casefogbugz_update_case
- Update an existing case's fieldsfogbugz_assign_case
- Assign a case to a specific userfogbugz_list_my_cases
- List cases assigned to a specific userfogbugz_search_cases
- Search for cases using a query stringfogbugz_get_case_link
- Get a direct link to a specific case
License
ISC
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
A Model Context Protocol server that enables Language Learning Models to interact with FogBugz, allowing operations like creating and updating issues, assigning cases, listing open cases, and searching through natural language.
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