"Progress" matching MCP servers:

A filesystem-based MCP server for AI coding agents to coordinate work across git worktrees by claiming files, checking for conflicts, and logging progress without affecting the repository's git history.

Enables AI assistants to create and manage Cursor Cloud Agents that autonomously work on GitHub repositories, including creating tasks, monitoring progress, and automatically generating pull requests.

Enables Codex to dispatch well-scoped development tasks to a remote CodeBuddy Code instance, specify model and reasoning effort, monitor progress, retrieve results, and review Git changes without auto-merging.

Enables AI assistants to manage GitHub issues using deterministic priority scoring and concurrency-safe locking. It supports a structured eight-phase workflow from issue selection through pull request review to ensure consistent prioritization and progress tracking.

Enables monitoring of GitLab CI/CD pipelines and job statuses through automatic project detection and intelligent polling. It provides reliable API integration for checking build progress directly within AI-powered development environments.

Turns local project directories into persistent MCP workspaces, allowing AI agents to read files, modify code, run commands, manage Git, and save session progress across conversations.