"Web scraping and content extraction" matching MCP servers:

Enables local, deterministic review of GitHub and GitLab pull request diffs for secret leaks, OWASP injection issues, WCAG 2.2 AA/EU EAA accessibility gaps, EU AI Act transparency, and database RLS risks, producing risk scores, merge decisions, committable suggestions, and SARIF exports.

Enables proof-backed code audit via MCP tools for AST-based code maps, symbol lookup, callers, audit commands, and persistent verdict memory.

Enables AI agents to analyze and diff binaries by driving Ghidra headless or inside its GUI, exposing native reverse-engineering tools such as listing functions and segments, searching strings, decompiling, disassembling, and following cross-references. Ships with a devcontainer and supports local stdio or remote HTTP deployment.

MCP server for persistent project knowledge management, enabling AI assistants to store, search, and reuse project analysis insights with freshness checking and impact analysis.

Enables MCP clients to load eight on-demand coding skills and inspect project repositories through bounded, read-only map, search, read, diff, checks, and style tools. It keeps context lean by loading skill bodies only when needed and limiting repository scan and output sizes.

Gives your AI coding agent a bounded map of an unfamiliar TypeScript SaaS repo: where the code lives, what's risky to touch, and where the money / auth / user flows are. Provides eight MCP tools for orientation, task focus, risk assessment, and SaaS-specific observations without AST or type checking.

Exposes reverse engineering capabilities via MCP protocol, enabling AI agents to automatically detect, analyze, trace, and deobfuscate JSVMP protected JavaScript code.

An MCP server for intelligently reading Java source code, supporting extraction from Maven dependencies and local projects with dual decompilers.

Enables static analysis of scripts without executing them, providing plain-English behavior explanations, decoded obfuscated content, IOC extraction, risk scoring, and MITRE ATT&CK mapping.

Give your AI agent PDF summarization, code review, translation, web extraction, document comparison, and persistent memory — all paid autonomously via Bitcoin Lightning.

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Provides SQL analysis, linting, and dialect conversion using SQLGlot, enabling validation, transpilation, and extraction of table/column references.

Routes narrow text-processing tools (classification, extraction, summarization, etc.) to budget models to reduce token consumption on the main model.

Gives MCP clients such as Claude Code and OpenCode a static-analysis toolbox for binaries, executables, DLLs, shared objects, and web-app code, covering file identification and hashing, string extraction, PE/ELF/Mach-O/WASM parsing, disassembly, Ghidra decompilation, YARA scanning, and JavaScript deobfuscation. All inspection is read-only and never executes the target.

Enables read access to GitHub source code, including code search, file contents, symbols, and Java-aware fragment extraction, with optional per-call repository overrides.

A feature-rich MCP server offering 30 tools across AI, code, text, data, web, and system categories, enabling tasks like chat, translation, code review, web scraping, and text processing.

Provides AI-callable tools for modernizing legacy applications, including stack detection, API contract extraction, SQL to Flyway conversion, and migration effort estimation.

Enables extraction of mathematical content from TeX papers and conversion to Lean code through a structured intermediate representation. Supports project scaffolding, entity management, and task tracking for mathematical formalization workflows.

Provides comprehensive code analysis (quality, complexity, linting, dependencies, security) and web scraping capabilities (static/dynamic content, API discovery) for development workflows.

Enables precise code extraction from 30+ languages using tree-sitter parsing, allowing AI assistants to retrieve functions, classes, and code snippets with accurate line numbers.

Enables MCP clients to register projects and analyze source code through Tree-sitter WASM parsing, exposing tools for AST and symbol extraction, custom queries, reference finding, complexity and similarity analysis, dependency discovery, and text search. It also ships a web studio with a Monaco editor, AST explorer, Git view, and read-only SQLite console for interactive exploration.

Treats software units as content-addressed contracts, enabling efficient agent regeneration loops with cached verification and tiny context packets.

MCP server for fast local code & content search powered by Hawkeye. Enables AI assistants to search indexed codebases & assets with natural language queries.

Enables AI coding agents to retrieve compact structural codebase context through repository architecture summaries, AST symbol extraction, cyclomatic complexity scoring, and TODO/FIXME hotspot search.

Serves a repo-indexing engine over stdio with tools for scanning, graph analysis, symbol extraction, caller lookup, and grep.

Lets AI agents know things about files without reading them, supporting outline, search, slicing, SQL, log clustering, diffs, validation, and extraction for formats like PDF, DOCX, PPTX, XLSX, CSV, logs, and code.

Enables AI agents to perform token-efficient local codebase search, decompile NuGet types, compress source code, and read or analyze PDF documents through targeted text, image, form, bookmark, attachment, and hyperlink extraction.

A production-ready MCP server suite for AI agent tool integration, providing five composable tool modules: code analysis, web scraping, file operations, API integration, and data transformation.

Enables coding agents to identify machine-generated template tells in codebases and rendered web pages, with citable evidence and exact fixes for each finding, and to read prevention rules before generating content.

Enables LLMs to progressively explore a project's dependency graph and retrieve only relevant code through a three-layer MCP workflow, with AST skeletons, Prisma schema extraction, token budgeting, and secret redaction.