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674,972 tools. Updated 2026-10-19 01:21

"A tool for searching code using semantic understanding" matching MCP tools:

  • Search Code-Fundi repositories with semantic search, grep over docs, or grep over code. Returns matching files with similarity scores, paths, and optional documentation.
    MIT
  • Find the right integration tool for any task by searching available actions with semantic search. Describe what you want to do and get relevant tool suggestions.
    MIT
  • Retrieve a bounded code window with enclosing semantic context for a selected C# location to inspect symbols, diagnostics, and surrounding code.
    MIT
  • Search project documentation and README files using semantic search to answer conceptual questions about how features work or system architecture.
    MIT
  • Analyze code files to identify top-level symbols and their structure, providing a quick overview for understanding new codebases or files.
    GPL 3.0

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  • Paid MCP server for EAN, UPC, and GTIN validation, normalization, correction, and batch analysis.

  • Web page tools for AI agents: page metadata, outlinks, change detection, readable text and 10-URL batch metadata. Pay per call in USDC on Base via x402 ($0.02 to $0.15), no API key or signup.

  • Find code by meaning using semantic search with natural language queries. Combines AI understanding with text matching to locate relevant snippets, handling typos and variations.
    MIT
  • Search datasets using semantic understanding with synonym expansion and Serbian-English translation. Suggests related datasets when no exact match is found.
    MIT
  • Explain code or concepts by providing a snippet or topic with optional context, and receive clear, actionable explanations for learning, documentation, and deeper understanding using GLM.
    MIT
  • Find code by meaning with hybrid semantic and exact text matching, returning relevant snippets with file locations and line numbers.
    MIT
  • Index a local repository for semantic code search. Scans files, splits them into functions/classes, and generates embeddings for retrieval.
    -
  • Translates source code into plain English for non-programmers. Ideal for understanding inherited code, due diligence, and onboarding documents. Costs 500 sats via Lightning.
    MIT
  • Extract function names from PureScript code snippets, focusing solely on functions while excluding data types and classes. Ideal for quick code analysis and understanding.
    MIT
  • Search indexed code and documentation using hybrid semantic and keyword retrieval. Ideal for answering questions about your codebase and project architecture.
    Apache 2.0
  • Lists available Huly tool categories through this MCP proxy, helping you map platform capabilities before searching for a specific tool.
    MIT
  • Search logs using natural language queries with semantic understanding for Kubernetes/Tekton environments. Interprets queries with NLP, recognizes entities, and ranks results by relevance.
    Apache 2.0