MCP servers and skills: search, filter by where they run, and compare.
1–24 of 76 tools for “learning-management”
Clear allLMS (learning management system): manage courses, SCORM/xAPI, learners, certificates and reports.
Hosted by authorNo licenseFew starsNo key
📖 Cross-agent research paper toolkit for Claude Code, Codex, OpenCode, and DeepSeek Harness—quick summaries, deep study materials, code demos, and a local web viewer.
SkillMIT★ 348No key
Open-source multi-tenant LMS for creators and schools: sell courses on your own subdomain. Next.js 16 + React 19 + Supabase (RLS) + Stripe Connect, an AI tutor over MCP, gamification, certificates, i1
SkillMIT★ 39No key
in the readmeThis server provides a bridge between AI systems (like Cursor) and Canvas Learning Management System. ## Features - **Courses**: List enrolled courses, get course details, syllabus, modules, and
PythonMIT★ 7No key
Guides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which deployment option', 'self-hosted vs cloud',
in the skill textPrototyping Use when: building a prototype, running tests, CI/CD pipelines, or learning Qdrant. - Use local mode (Python only): zero-dependency, in-memory or disk-persisted
OfficialSkillMIT★ 40k in collectionNo key
Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use fo
OfficialSkillApache-2.0★ 21k in collectionNo key
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect o
in the skill textBigQuery dataset, table, or job management requests. # BigQuery AI & ML BigQuery integrates with Vertex AI to provide powerful machine learning and generative AI capabilities directly within
OfficialSkillApache-2.0★ 21k in collectionNo key
Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis. WHEN: KQL queries, Kusto database queries, Azure Data Explorer, ADX clusters
in the skill texttables, columns, and data types - **Resource Management**: List clusters and databases - **Analytics**: Aggregations, time series, anomaly detection, machine learning ## Core Workflow 1. **Discover Resources**: List available
OfficialSkillMIT★ 1.6k in collectionNo key
Azure VM/VMSS router. WHEN: create / provision / deploy / spin-up VM, recommend VM size, compare VM pricing, VMSS, scale set, autoscale, burstable, lightweight server, website, backend, GPU, machine l
in the skill textpricing, VMSS, scale set, autoscale, burstable, lightweight server, website, backend, GPU, machine learning, HPC simulation, dev/test, workload, family, load balancer, Flexible orchestration, Uniform orchestration, cost estimate
OfficialSkillMIT★ 1.6k in collectionNo key
Production-ready open source terminal coding agent with readable, layered code: permission rules, OS sandboxing, MCP, skills, sub-agents, and Anthropic, OpenAI-compatible, Gemini, or local models.
in the readmemanagement, and each extension system live in separate layers. The documents linked below explain how the security-relevant parts behave and why, and the learning path
Node.jsMIT★ 1.0kNo key
Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.
SkillMIT★ 3.9kNo key
A Codex skill for research-led and practice-led learning
SkillMPL-2.0★ 99No key
68 plug-and-play, best-practice product management skills for AI agents: 30 Triple Diamond phase + 11 foundation + 12 utility + 15 tool (Foundation Sprint + Design Sprint). Plus 6 sub-agents, workflow
in the skill textSkills A curated library of 68 best-practice, plug-and-play product management skills covering the complete product lifecycle - plus templates, workflows, and 200+ real-world
SkillApache-2.0★ 726No key
MCP server to interact with LogSeq via its Local HTTP API - enabling AI assistants like Claude to seamlessly read, write, and manage your LogSeq graph.
in the readmeExamples **📊 Intelligent Knowledge Management** ``` "Analyze all my project notes from the past month and create a status summary" "Find pages mentioning 'machine learning' and create
PythonMIT★ 343No key
A self-hosted RSS reader and personal knowledge management tool.
in the readmedark theme interface - 👨💼 **Admin Dashboard** - User management and system monitoring ### Planned Features (WIP) - 🧠 **Smart Recommendations** - AI-powered preference learning and article scoring - ⚙️ **Rule Engine** - Automated processing
SkillAGPL-3.0★ 868No key
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
MCPLink only★ 5.2k
Execute commands interactively on remote Windows machines using the WinRM protocol (just faster)
in the readmefor executing commands on remote Windows machines using the WinRM (Windows Remote Management) protocol. It provides an interactive shell with enhanced features like file upload/download with
SkillMIT★ 412No key
Enhances construction site safety using YOLO for object detection, identifying hazards like workers without helmets or safety vests, and proximity to machinery or vehicles. HDBSCAN clusters safety con
SkillAGPL-3.0★ 348No key
A Model Context Protocol (MCP) server for interacting with Meilisearch through LLM interfaces.
in the readmeClaude - 🗣️ **Natural Language Control** - Manage Meilisearch through conversation with any LLM - 🚀 **Zero Learning Curve** - No need to learn Meilisearch's API - 🔧 **Full Feature Access** - All Meilisearch
PythonMIT★ 194No key
221 AI skills for construction: BIM analysis, cost estimation, scheduling, document control, and automation with Claude Code
SkillMIT★ 351No key
An open-source, terminal-based AI coding agent that reads your code, calls tools, and helps you build.
in the readmemodern AI coding harnesses actually work: the agent loop, tool calls, context management, approvals, and everything that turns a model into something that can work
PythonGPL-3.0★ 124No key
A MCP server for Home Assistant
in the readmeLLM application. A powerful bridge between your Home Assistant instance and Language Learning Models (LLMs), enabling natural language control and monitoring of your smart home devices
SkillApache-2.0★ 575No key
Scalable and extensible reinforcement learning for LM agents.
in the readmemultimodal) AgentFly is an extensible framework for building LLM agents with reinforcement learning. It supports multi-turn training by adapting traditional RL methods with token-level
SkillApache-2.0★ 122No key
An agent skill that turns reading into active recall, critique, and real-task practice—so you can use what you learn.
SkillMIT★ 29No key
Who stands behind it
