Query structured training programs (learning paths) to retrieve metadata, enrollments, and student lists, with pagination and filters.
MIT
465,591 tools. Updated 2026-08-19 05:04
"Learning to Create an Expert Python Program to Exit GitHub" matching MCP tools:
- Retrieve Dockerfile content to analyze image composition, identify dependencies, and understand build processes for security auditing or learning purposes.MIT
- Resume a paused debuggee to continue execution until a breakpoint, exception, or program exit. Requires session to be paused and returns stop reason with address.MIT
- Execute native programs directly in a hidden process, capturing clean stdout, stderr, and exit codes. Avoids shell interference for reliable output from tools like git, docker, node.MIT
- Record a full program execution to capture a deterministic trace for time-travel debugging.MIT
- Import XML into an open project to add program logic, variables, or configuration. Supports overwrite, keep existing, or rename modes.MIT
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- Alicense-qualityCmaintenanceA minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.MIT
- AlicenseAqualityCmaintenanceAI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.417MIT
Matching MCP Connectors
Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.
GitHub MCP — wraps the GitHub public REST API (no auth required for public endpoints)
- Create or update an animation table with a list of variables to monitor live values in the Control Expert UI when the project is online.MIT
- Get daily ad creative performance metrics (spend, revenue, ROAS, fatigue score) to identify learning phase exit, creative fatigue, and scaling opportunities.MIT
- Extract a named function into a standalone program with its imports and helpers, then run it in the sandbox. Uses AST for Python, best-effort for other languages.Apache 2.0
- Create a rubric in Canvas with criteria and ratings, optionally associating it with an assignment or linking criteria to learning outcomes for outcome rollups.MIT
- Get submission guidance for the Create Apps Championship, including evaluation criteria, application URL, and program details for the Championship, Emirati Training Academy, and Learning Lab.MIT
- Resume program execution to the next breakpoint or until the program exits. Useful for stepping through code after a pause in GDB debugging sessions.MIT
- Browse TouchDesigner experimental techniques by category to get code snippets, operator chains, and setup notes for GLSL, GPU compute, machine learning, generative systems, audio-visual, networking, and Python advanced.MIT
- Create a new GitHub repository with custom settings for visibility, README initialization, gitignore, license, and organization.MIT
- Generate comprehensive mentoring impact and engagement reports for schools. Returns student engagement metrics, learning outcome improvements, satisfaction scores, mentor effectiveness, and program ROI.MIT
- Start or restart the debugged program and block until a breakpoint, signal, or exit is hit. In rr replay sessions, restart from the beginning with optional argument overrides.MIT
- Execute Python code in an isolated Linux VM sandbox. Control timeout and sandbox selection for secure script execution.MIT
- Verify an EXIT marker, apply an admission policy, and generate a signed arrival marker to control access to a destination platform.Apache 2.0
- Read a program section's logic from Control Expert as XML, which includes source code in structured text, ladder rungs, or function block networks.MIT
- Analyze GitHub repositories to identify code examples demonstrating specific code smells for structured learning sessions.MIT