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    Enables blazingly fast file and content searching in large codebases using ripgrep, with intelligent filtering, fuzzy finding, and directory tree visualization while respecting .gitignore and avoiding common bloat directories.
    4
    13
    2
    MIT
  • A
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    quality
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    Exposes boyter/scc code counting and complexity analysis to LLM agents via read-only tools like counting lines, finding top files, and cost estimation.
    7
    BSD 3-Clause
  • A
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    Provides code refactoring capabilities for TypeScript/JavaScript and Python through Language Server Protocol integration. Enables renaming symbols, extracting functions, finding references, and moving code between files via natural language commands.
    5
    3,520
    6
    MIT
  • F
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    Provides LLMs with safe, read-only access to local codebases for searching, reading files, and finding function definitions. All source code remains local, ensuring privacy while enabling AI assistants to explore project structures and functionality.
    4
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    AST-aware TypeScript/JavaScript codebase exploration for AI agents, providing high-precision symbol resolution, reference finding, and structural analysis via MCP tools.
    223
    MIT
  • A
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    Provides unified development tools including code analysis, debugging, refactoring, documentation, testing, and project automation through multiple LLM providers (KIMI, GLM, OpenRouter). Features agentic audit capabilities with multi-model consensus for finding issues and generating direct fixes.
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    Enables AI assistants to read, analyze, edit, and create Alteryx workflows, including summarizing workflows, finding tools, editing configurations, updating SQL, managing connections, and building new workflows programmatically.
    MIT
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    quality
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    Semantic code index and gatekeeper that exposes 14 read-only MCP tools for AI agents, enabling symbol search, definition lookup, reference finding, and impact analysis via static analysis of codebases.
    14
    MIT
  • A
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    Provides tools for Python code navigation, analysis, and refactoring, including finding definitions, references, and symbol lists. It enables automated tasks such as renaming symbols and organizing imports to enhance AI-driven development.
    Apache 2.0
  • A
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    Local-first security check for AI coding agents — finds hardcoded secrets, exposed .env files, git-history leaks and vulnerable dependencies (OSV), entirely on your machine. Ask your agent "is this safe to ship?" and get a Launch Readiness score with a fix for every finding.
    MIT
  • A
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    quality
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    A self-hosted MCP and HTTP server for TypeScript code intelligence, providing AI agents with fast semantic code navigation tools like finding definitions, references, implementations, file outlines, dependency graphs, and search.
    272
    AGPL 3.0
  • A
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    A local code indexing and search library that enables AI agents to perform semantic and keyword searches across codebases using tree-sitter and SQLite. It provides tools for indexing projects and finding precise code definitions without requiring external APIs, Docker, or server infrastructure.
    1,472
    338
    MIT
  • A
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    quality
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    maintenance
    MCP server that gives AI coding agents codebase navigation intelligence, enabling symbol lookup, reference finding, type inspection, and diagnostics through tools like locate, refs, hover, diagnostics, status, and rename.
    141
    MIT