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MIT
598,353 tools. Updated 2026-09-21 22:30
"Resources for Learning Python Coding" matching MCP tools:
- Create a structured learning path with steps, resources, and milestones by specifying your topic, current level, and target proficiency. Receive a personalized roadmap to guide your study.MIT
- Search and list Microsoft Sentinel tutorials and learning resources by name or file path. Find up to 100 relevant results for security training and reference.MIT
- Create a structured learning path for a programming library based on your experience level—beginner, intermediate, or advanced—with progressive topics and resources.MIT
- Retrieve work preferences such as learning style, work environment, schedule, coding style, and tools. Filter by category for specific areas.-
- Retrieve study materials and learning resources for any subject. Filter resources by subject to find relevant content quickly.MIT
Matching MCP Servers
- AlicenseBqualityDmaintenanceA Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.124MIT
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Matching MCP Connectors
Run Python code from natural language prompts, with optional PyPI package install.
Educational MCP server with 17 math/stats tools, visualizations, and persistent workspace
- Query structured training programs (learning paths) to retrieve metadata, enrollments, and student lists, with pagination and filters.MIT
- Execute Python code in a secure sandbox environment for calculations and data manipulation. The tool runs simple Python scripts with restricted imports and returns results with logs.MIT
- List available coding standards profiles for various tech stacks to enforce consistent code style and architecture.MIT
- Append a learning entry to a skill's memory to retain insights for future runs. After completing a skill, capture what failed or could be improved, then store it as a concise note tied to that skill.MIT
- Retrieve the active Python execution environment for new code cells in Circuitry's visual workflow platform.-
- Delete a learning record using its unique ID. First, use list_learnings to find the correct ID.Business Source 1.1
- Retrieve self-learning reflections from a bot, with optional filtering by status.MIT
- Answer learning questions with evidence from your private knowledge base. Retrieve source-backed information directly from local documents.MIT
- Retrieve Spark driver logs from completed notebook executions to debug Python errors and analyze Spark behavior. Use stdout for Python tracebacks or stderr for system logs.MIT
- Retrieve Dockerfile content to analyze image composition, identify dependencies, and understand build processes for security auditing or learning purposes.MIT
- Set up authentication for TwitterAPI.io by learning API key usage, required headers, and viewing code examples in cURL, Python, and JavaScript.MIT
- Execute Python code with flexible execution modes including inline for speed and subprocess for isolation. Use to run Python scripts, test code snippets, or maintain session state across executions.MIT
- Execute a BrainPlan for TouchDesigner with transactional validation, rollback on failure, and optional local learning.MITDestructive
- Retrieve Python package metadata from PyPI, including version, license, and Python compatibility. Use to evaluate library maintenance and compatibility before integration.MIT
- Retrieve per-transform learning statistics recorded across investigations to guide Next Best Action recommendations. Returns JSON summary or notification if learning is disabled.MIT