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Code Intelligence MCP Server

by tech-spoke

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    • A
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      Provides coding agents with repository-aware tools to understand code structure, find existing patterns, and review plans, architecture, and diffs, enabling a consistent engineering workflow across Cursor, Codex, and Claude Code.
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    • A
      license
      A
      quality
      D
      maintenance
      Enables AI assistants to understand and navigate codebases through structural analysis. Provides code mapping, symbol search, and impact analysis using ast-grep for accurate parsing of Python, JavaScript, TypeScript, and Go projects.
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    • A
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      C
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      Provides a semantic understanding of your codebase by parsing with tree-sitter and building a graph of symbols and dependencies. Enables AI assistants to navigate code, analyze changes, and discover architecture using 18 tools with minimal context overhead.
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    • A
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      D
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      Enables LLM agents to efficiently understand and navigate a codebase by providing semantic search over symbols and a reference graph, replacing expensive grep/glob calls with structured tools like definition lookup, caller/callee queries, and change-impact analysis.
      18 PyPI
      3
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    • F
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      D
      maintenance
      Enables LLMs to perform high-performance code search and analysis across multiple languages using symbol indexing, regex text search, and structural AST pattern matching. It also provides tools for technology stack detection and dependency analysis with persistent caching for optimized performance.
      8
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    • A
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      quality
      C
      maintenance
      Enables AI agents to explore a repository by querying a pre-built structural knowledge graph of symbols and their relationships — definitions, callers, callees, blast radius, and file-level impact — instead of grepping and reading files. This cuts the tokens spent on code exploration by roughly 96–99% while running entirely on local SQLite with tree-sitter parsing.
      1
      MIT