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458,064 tools. Updated 2026-08-14 22:15

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

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

  • Educational MCP server with 17 math/stats tools, visualizations, and persistent workspace

  • Get the complete overview of the Dataflowr Deep Learning course: all sessions, modules, and their relationships, to provide students with a clear learning path.
    Apache 2.0
  • 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
  • Delete a learning record using its unique ID. First, use list_learnings to find the correct ID.
    Business Source 1.1
  • Log learning entries with validation and duplicate detection. Appends to memory, returns status (added, duplicate, conflict, etc.).
    AGPL 3.0
  • Identifies countries with similar censorship behavior and regime features for transfer learning and contagion analysis. Input an ISO 3166-1 alpha-2 country code to get the nearest-neighbor set.
    MIT
  • Retrieve evidence from a configured knowledge base to answer learning questions. Adjust depth and candidate count to control response detail and coverage.
    MIT
  • Execute a BrainPlan for TouchDesigner with transactional validation, rollback on failure, and optional local learning.
    MIT
  • Pre-flight any ad-platform change to see if it restarts a campaign's automated bidding learning period. Read-only check outputs learning state and guardrail verdict before applying.
    Apache 2.0
  • 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