"Progress" matching MCP servers:

MCP server that guides LLM security reviews step-by-step, tracking progress and ensuring all assigned source code is read before completing each plan step.

MCP server for standardizing software module development with tools for planning, code quality analysis, security scanning, performance evaluation, documentation generation, accessibility checks, and progress tracking.

Enables AI assistants to automatically recover SonarQube technical debt by fetching issues, running proposal-only worker batches, and integrating verified fixes serially with progress tracking.

Enables AI agents to manage and fix static analysis issues from SARIF reports through a persistent work queue with batching, scope filtering, and progress tracking.

Enables AI agents to carry durable project memory across windows, agents, and days, injecting a compressed context of architecture, progress, decisions, and critical files so a new session can resume without re-reading the whole repository. It also classifies files as current/legacy/intermediate and suggests cleanup so stale or draft artifacts don't mislead the agent.