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Automated Code Generation and Execution Using Natural Language MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

71,221 tools. Last updated 2026-02-11 07:34
  • Find files and code snippets using natural language queries in your project directory with semantic vector search.
    MIT
  • Search code using natural language queries with vector embeddings. Filter results by code chunk type and retrieve relevant matches efficiently.
  • Search files and code snippets using natural language queries, filter by path, similarity threshold, and result limit, and generate embeddings with customizable AI providers.
    MIT
  • Query code repositories using natural language to get detailed answers with code references for understanding and navigating codebases.
    Python
    MIT
  • Convert natural language descriptions into Zig code for efficient development. The tool accepts prompts and context, enabling precise code generation tailored to specific requirements within the Zig MCP Server environment.
    MIT

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