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    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.
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    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.
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    MIT
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    Enables MCP clients to interact with a live Progresso workspace for board, CRM, projects, and time tracking via Supabase.
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    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.
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    Session-based development workflow MCP server for Claude Code that structures tasks into sessions with plans, progress tracking, and archiving for context resumption.
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    A read-only Model Context Protocol server for Vetroscope that provides LLMs with detailed time-tracking data, including reports, app/project breakdowns, goals progress, and activity status, all from a local SQLite database.
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    MIT
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    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.
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    Streams live progress from long-running MCP tool calls to any connected client. Instrument a tool call with mcp-telemetry-sdk, and telemetry_subscribe pushes its steps, logs, cost, and completion over notifications/progress — no polling, and a job started in one session can be watched from a different one.
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    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.
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    GPL 3.0
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    An MCP server for agent-guided DSA practice that generates LeetCode-style problems and provides tutoring with escalating hints, concept explanations, and progress tracking.
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    MIT
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    Enables AI assistants to interact with the AeroEduVision platform, allowing exam generation, course management, knowledge graph queries, and student progress tracking through natural language commands.
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    MIT
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    Enables real-time tracking of AI task starts and completions with integrated webhook notifications for monitoring activity. It allows users to log progress and send task-related event data to external services via configurable webhook URLs.
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    Enables AI assistants to guide users through MBTI personality tests with two modes (28-question simplified or 48-question cognitive functions), track progress, and provide detailed personality type analysis and results.
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    MIT