"Debugging software using GDB (GNU Debugger)" matching MCP servers:

An MCP server that facilitates interactive software development planning by breaking down projects into manageable tasks, tracking progress, and saving implementation plans.

Facilitates software development planning through interactive sessions that break down projects into manageable tasks with complexity scoring, code examples, and implementation plan management.

Facilitates interactive software development planning by managing tasks, tracking progress, and creating detailed implementation plans through the Model Context Protocol.

Provides software development planning tools to help users create implementation plans and manage todo items.

Dynamically exposes over 100 Jira Software Cloud REST API operations as fully typed tools for LLMs to interact with, supporting SSE and Stdio transports.

Provides complete FreshBooks integration with 87 tools covering accounting, invoicing, time tracking, expense management, client/project management, and financial reporting through OAuth2 authentication.

Enables AI coding assistants to log billable hours into the Keeping time-tracking service via MCP tools, with dry-run protection for all write operations.

MCP server for Plane integration, enabling AI agents to interact with Plane APIs and services for project management tasks.

A NestJS-based server that enables AI agents to interact with Logseq graphs through its HTTP API for managing notes, journals, and blocks. It features specialized tools for project development tracking, including progress logs, technical decisions, and workflow prompts.

Enables AI-powered task management with Google Gemini integration, providing CRUD operations, task analytics, CSV export, and natural language interaction for comprehensive project management.

Enables AI coding agents to orchestrate the full software development lifecycle on GitHub, including planning, issue creation, code review, security triage, and release readiness checks.

An MCP server that helps AI agents plan and track software projects using the Conducted Development methodology, providing artifact validation, kickoff guidance, and project rituals.

Provides structured spec-driven development workflow tools for AI-assisted software development with sequential spec creation (Requirements → Design → Tasks). Features a real-time web dashboard for monitoring project progress and managing development workflows.

An MCP server that enforces the clean-room software reimplementation process with role-gated tools and a tamper-evident audit trail.

Provides structured project management through phase-based workflows, enabling planning, execution tracking, compliance checking, and automated documentation for software development projects.

Enables AI models to interact with the Upsprints API for managing users, companies, projects, and tasks, including generating Software Design Documents (SDDs) from tasks via read/write tools and webhooks.

A Model Context Protocol server that provides structured workflow tools for managing software development projects through different complexity levels, offering specialized modes for project planning, design, implementation, and documentation.

Provides capabilities for searching Jira issues using JQL and retrieving detailed issue information.

Facilitates interactive feature discussions with AI guidance, maintaining context and providing intelligent recommendations for implementation, architecture, and best practices in software development.

Provides access to 27+ structured problem-solving frameworks and game-theoretic workflows for software development, project management, and operations research. Helps prevent analysis paralysis and scope creep by transforming open-ended challenges into systematic, time-boxed approaches with clear decision gates.