"Progress" matching MCP servers:

A lightweight MCP server that provides cross-project progress tracking tools (list, refresh, read, update, mark) for agents to query and manage work status across multiple tracked projects.

Enables AI agents to track, search, and retrieve their progress across projects with persistent memory using SQLite storage and LLM-powered summarization. Supports logging completed work, searching previous entries, and retrieving context for multi-step or multi-agent workflows.

Enables MCP clients to interact with a live Progresso workspace for board, CRM, projects, and time tracking via Supabase.

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.

A powerful context management system that maintains persistent context across coding sessions, helping development teams track project structure, dependencies, and progress.

An MCP server that bridges VS Code Copilot to your mobile device, allowing you to monitor task progress and respond to decision prompts while away from your desk. It features real-time push notifications, a web-based dashboard, and interactive tools for remote code review and approval.

Packages self-contained HTML or Claude Design bundles into SCORM 2004 courses any LMS can import, with offline asset inlining, milestone-based completion/progress and score tracking. Fully local, no telemetry; validated end-to-end on SCORM Cloud.

Read-only MCP server providing Wealthi's AI Coach with scoped access to student progress data from Firestore and Supabase, enabling AI to retrieve student profiles, progress, assessment results, and learning signals without direct database credentials.

Enables an AI assistant to read token bonding curves, quote trades with fee breakdowns, monitor graduation progress, and optionally launch, buy, sell, or rescue tokens on Arc via arcnow.io.

Connect AI assistants to Unfold It -- create goals with AI-generated plans, agent-assisted clarification, plan import with enrichment, individual progress tracking, cohort analytics, and skill assessments.

MCP server for MisarReach that enables finding, enriching, and scoring leads, running multi-channel outreach (WhatsApp, SMS, push) with AI autopilot, and managing the sales pipeline across 27 tools, 5 prompts, 4 resources, and 4 agent skills.

Session-based development workflow MCP server for Claude Code that structures tasks into sessions with plans, progress tracking, and archiving for context resumption.

Enables MCP-capable coding agents to access SkeletIQ architecture releases, including reading designs and build orders, generating and critiquing architectures, and reporting build progress and drift.

MCP server that provides a live, terminal-native layered dependency map for AI coding assistants, with tools to track and visualize development progress in real time.

Enables local AI agents to upload photos, start image-to-3D generation jobs on pictostl.com, monitor task progress, and download the resulting GLB or STL mesh files for visualization and 3D printing.

Enables AI agents to manage tutoring workflows by listing students, tracking progress, logging session notes, assigning homework, and generating parent-friendly progress reports through natural language.

Enables compressing an in-progress AI conversation into a structured context block preserving user goal, decisions, and state, then formats it for another AI to continue seamlessly.

Enables external agents to list T3 environments and projects, start coding threads, monitor progress, send follow-up instructions, and interrupt running turns via MCP.

A read-only MCP server that detects quote retweets on X/Twitter for 'read later' purposes, enabling fetching quote posts with their quoted content and cursor-based progress tracking.

A shared coordination layer for multiple AI coding assistants, exposing a persistent task queue, per-task message threads, and progress tracking via JSON files on disk.