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    Enables AI assistants to search and analyze codebases using Abstract Syntax Tree (AST) pattern matching with ast-grep. Supports structural code search, pattern testing, and AST visualization across multiple programming languages.
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    456
    MIT
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    Enables structural code search and refactoring across 20+ programming languages using ast-grep patterns, with safe dry-run mode and flexible filtering.
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    MIT
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    This MCP server enables AI models to analyze local Python codebases using abstract syntax trees, providing tools for file structure analysis, symbol search, import graphing, docstring auditing, and refactoring prompts without loading entire source files into context.
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    MIT
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    Provides powerful text search capabilities using the grep command-line utility, allowing users to search files and directories using both natural language descriptions and regex patterns.
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    MIT
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    A grep server implementation that exposes grep functionality through the Model Context Protocol (MCP), supporting natural language prompts and common grep options such as case-insensitive matching, context lines, and recursive searching.
    GPL 3.0
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    A server implementation that exposes grep functionality through the Model Context Protocol, allowing MCP-compatible clients to search for patterns in files using regular expressions.
    24
    GPL 3.0
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    AST-targeted code editing MCP server with 28 surgical tools for structural edits across 11 languages. Built on tree-sitter, replaces brittle search/replace with byte-correct edits keyed by symbol names.
    28
    MIT
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    Enables AI coding agents to efficiently explore codebases by providing structural outlines, module digests, symbol bodies, and AST-aware grep via MCP.
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    MIT
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    Combines AST intelligence and guarded file operations to provide a secure, controlled repository workflow for coding agents, enabling structural code analysis and safe edits without unbounded editor access.
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    MIT
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    Provides deep structural analysis of Python source code via AST, including function signatures, call graphs, cyclomatic complexity, code smells, dead code detection, and protocol conformance.
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    MIT
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    ast-mcp-server gives coding agents compact, type-aware access to TypeScript and JavaScript projects, providing structural code tools based on the real compiler project model through ts-morph for declarations, references, renames, and diagnostics, with safe prepare β†’ review β†’ apply mutation semantics and immutable hash-bound plans.
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    ISC
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    Provides deterministic Python codebase symbol exploration using AST parsing, with tools for definition lookup, signatures, references, call chains, and class hierarchy queries.
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    MIT
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    AST-Indexer is a Model Context Protocol (MCP) server for indexing Git repositories with AST parsing. It extracts functions, classes, imports, variables, and SQL schema objects from JavaScript, TypeScript, C#, and SQL codebases so they can be queried through MCP tools.
    233
    ISC
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    Provides advanced code structure and semantic analysis through Abstract Syntax Trees (AST) and Abstract Semantic Graphs (ASG) across multiple programming languages. It enables tasks like incremental parsing, complexity analysis, and AST diffing to help models understand and navigate codebases.
    36
    MIT