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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 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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    MCP server for Neo4j that provides abstract graph operations for LLMs, enabling safe and consistent interaction with Neo4j databases through tools like search, insert, update, delete, and schema introspection.
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    MIT
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    MCP server for scientific grounding: search and discover open-access research papers across arXiv, OpenAlex, Crossref, PubMed, and Semantic Scholar, and retrieve references/citations from paywalled journals via public DOI/abstract metadata.
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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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    deBridge MCP finds optimal cross-chain swap routes, check fees and conditions, and initiate non-custodial trades across major blockchain networks. Supported: Ethereum, Solana, Arbitrum, Base, BNB Chain, Polygon, Optimism, Avalanche, Linea, Berachain, Tron, Cronos, Gnosis, Monad, Sonic, Flow, HyperEVM, Sei, Story, Injective, Abstract, MegaETH, Mantle, Plasma, Zilliqa, Sophon, Bob, Neon, and more
    5
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    MIT