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"Understanding Abstract Syntax Trees (AST)" matching MCP servers:

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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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    MIT
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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.
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    MIT
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    A robust, language-agnostic Model Context Protocol (MCP) server that provides AI coding agents with the ability to edit files surgically via Abstract Syntax Trees (AST) instead of relying on token-heavy, brittle search-and-replace or diff operations.
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    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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    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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    A security filter that blocks dangerous code patterns by comparing normalized structural syntax trees against a blacklist of known threats using vector embeddings. It acts as a gatekeeper to prevent malicious code execution by identifying dangerous structures regardless of specific identifiers or literals.
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    MIT
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    An MCP server that gives Claude Code IDE-level intelligence for FastAPI projects — semantic code navigation, safe renaming, route inspection, dependency trees, and Pydantic model analysis. Instead of Claude reading files blindly, it calls structured tools backed by Jedi (Python language server) and Python's AST.
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    Provides AI coding agents with five intelligence layers (dependency graph, git history, documentation, architectural decisions, code health) via nine MCP tools, enabling deep codebase understanding and reducing exploration cost.
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    4,270
    AGPL 3.0
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    A 100% local MCP server for semantic and lexical search over your code, library docs, and PDFs, featuring hybrid BM25 and dense retrieval, syntax aware chunking, and an optional code knowledge graph. It also ships a Coral integration, so you can expose your code search as SQL and join it with live data, all without anything leaving your machine.
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    Apache 2.0
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    13 AI-powered UML diagram tools for coding agents. Generates class, sequence, state, ER, threat model, deployment and architecture diagrams in Mermaid syntax. Works in Claude Code, Cursor and Windsurf.
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    MIT
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    Provides a search_code tool for coding agents to perform local, offline semantic code search on a tree-sitter AST indexed codebase using GGUF embeddings, with no network calls or API keys.
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