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650,545 tools. Updated 2026-10-14 08:20

"Resources for learning and practicing coding" matching MCP tools:

  • Check the learning gate for a project before coding or when unsure if coding is allowed: see active mode, current checkpoint stage, pending decision, and next required action.
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  • Retrieve work preferences such as learning style, work environment, schedule, coding style, and tools. Filter by category for specific areas.
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    F
    maintenance
    LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.
    21 npm
    1
    MIT

Matching MCP Connectors

  • Suggest ICD-10-CM codes from a diagnosis description. Returns ranked codes with confidence, reasoning, coding notes, differential alternatives.

  • ICD-10-CM / HCC medical coding tools with database-verified accuracy and denial-prevention rules.

  • Query structured training programs (learning paths) to retrieve metadata, enrollments, and student lists, with pagination and filters.
    MIT
  • Retrieve lecture notes, explanations, and learning objectives for any module. Use this to answer conceptual questions about course topics.
    Apache 2.0
  • Submit the final success or failure, outcome, and proof for a completed action, closing the loop for accountable fleet learning.
    MIT
  • Retrieve LLM-readable documentation for a module, including rules and implementation notes, to guide coding against the module contract.
    MIT
  • Log learning entries with validation and duplicate detection. Appends to memory, returns status (added, duplicate, conflict, etc.).
    AGPL 3.0
  • Generate a post-application learning plan that reviews outcomes and weak topics to improve future job-hunting campaign results.
    MIT
  • Retrieve an application's retro or learning plan from a job-hunting campaign to review past feedback and prepare for the next interview.
    MIT
  • Execute a BrainPlan for TouchDesigner with transactional validation, rollback on failure, and optional local learning.
    MIT
    Destructive
  • Refines vague coding requests into structured, agent-specific prompts by extracting requirements, filling edge cases, and running quality checks. Ideal for under-specified tasks before handing to a coding agent.
    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
  • Create structured lesson plans with learning objectives, activities, and assessments for any educational topic and grade level.
    MIT