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"JavaScript" matching MCP servers:

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    Behavioral verification intelligence for AI coding agents. Reads a TypeScript or JavaScript repo, clusters functions into 25 semantic workflows (Authentication, Payments, Webhooks, Caching, Queue, and more), and emits concrete adversarial probes per workflow. 17 MCP tools, local SQLite state, zero cloud.
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    MIT
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    Enables real-time code analysis for JavaScript, TypeScript, and Python through Claude Desktop and other MCP clients, detecting bugs, code smells, and security vulnerabilities with automated quick fixes.
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    MIT
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    MCP server that analyzes TypeScript/JavaScript codebases via AST parsing and dependency graph tracing to identify affected tests, detect dead code, circular dependencies, and trace import chains, enabling AI agents to run only relevant tests.
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    MIT
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    Enables AI assistants to debug JavaScript and TypeScript applications by connecting to Chrome DevTools Protocol-compatible debuggers, allowing them to set breakpoints, step through code, inspect variables, and evaluate expressions with full source map support.
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    Apache 2.0
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    MCP server that provides audit and safety-check tools for enterprise SDLC code integrity, enabling AI agents to scan workspaces for lifecycle gaps, mock-theater tests, DRY violations, and language-specific issues in shell, JavaScript/HTML, and Python.
    4
    376
    MIT
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    A minimal browser debugging MCP server that monitors Chrome Console logs and executes JavaScript. 97% lighter than full DevTools alternatives, providing just 4 essential tools for efficient debugging without consuming excessive context tokens.
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    Apache 2.0
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    Signalint is an MCP server that provides JavaScript and TypeScript diagnostics by running Oxlint, TypeScript, and optionally Biome, with caching, clustering of repeated issues, and detection of oscillating diagnostics.
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    MIT
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    Enables debugging of Python, JavaScript/TypeScript, Go, and Rust code using real debuggers with breakpoints, stepping, variable inspection, and stack trace navigation through the Debug Adapter Protocol.
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    Enables comprehensive JavaScript code analysis and debugging using ESLint and custom pattern matching. Identifies syntax errors, potential bugs, code quality issues, and provides actionable fix suggestions for single files or entire projects.
    4
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    A Model Context Protocol server that provides browser automation capabilities using Playwright, enabling LLMs to interact with web pages, take screenshots, generate test code, scrape web content, and execute JavaScript in real browser environments.
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    MIT
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    AI-powered bug bounty hunting platform that integrates security tools (OWASP ZAP, Caido, Burp Suite) for automated reconnaissance, vulnerability testing, JavaScript analysis, and finding management with PostgreSQL storage.
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    MIT
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    Enables comprehensive analysis of JavaScript/TypeScript project testing setups by detecting frameworks like Jest, Vitest, and Cypress, analyzing test coverage metrics, and generating actionable recommendations for improving test quality. Provides detailed insights into test structure, dependencies, and coverage thresholds with visual feedback.
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    Enables AI assistants to set up, manage, and analyze visual tests using Applitools Eyes within Playwright JavaScript and TypeScript projects. It supports adding visual checkpoints, configuring cross-browser testing via Ultrafast Grid, and retrieving structured test results.
    262
    MIT