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    9 MCP servers for React + TypeScript development automation — component scaffolding, dependency auditing, WCAG accessibility checking, test generation, TypeScript enforcement, and monorepo management. 134 tests, CI on Node 20+22.
    7
    106 npm
    3
    MIT
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    Enables AI agents to perform read-only static analysis of Node.js backend projects, detecting database query anti-patterns, async bottlenecks, connection pooling mistakes, and dependency hygiene issues while returning structured evidence-backed findings.
    6
    MIT
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    Serves an agent-ready knowledge base for evidence-oriented static analysis of native Windows PE32 and Delphi binaries, exposing workflows, headless Ghidra export guidance, read-only inventory tooling, and handover templates. It lets agents look up reproducible methodology that keeps observations, inferences, and unknowns clearly separated.
    MIT
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    Enables MCP clients to research game mods by searching documentation and definitions, inspecting dependencies and playsets, validating saved files with structural and Tiger checks, and preparing or editing mod content with preview and write controls. It also supports starting or previewing the game through a local stdio connection.
    35 npm
    GPL 3.0
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    14 atomic MCP tools for AppSec and AI Security engineers: source/schema/prompt audit primitives, JWT inspect, HTTP diff, pentest atoms (default creds, GraphQL introspect, phpggc, interactsh OOB), and a defensive helpers library that fixes the bugs the detectors flag. SARIF output, PyPI Trusted Publishing with Sigstore provenance.
    14
    MIT
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    Provides coding agents with visibility into test health through tools for flaky test detection, test quality linting, and LLM evaluation harness, enabling them to triage failures, review test quality, and check prompt changes for regressions.
    9
    Apache 2.0
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    A secure-by-default MCP server and CLI for AI agents to inspect Spring Boot repositories and interact with runtime Actuator endpoints, enabling code review, dependency scanning, and monitoring.
    44
    MIT
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    A Model Context Protocol server that provides Angular project analysis and refactoring capabilities, enabling LLMs to analyze component usage patterns, dependency structures, and perform safe refactoring with breaking change detection.
    4
    MIT
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    Automates 85-95% of the Secure Software Development Lifecycle (SSDLC) planning phase through multi-role AI orchestration, enabling business analysis, threat modeling, test strategy design, and security code review.
    MIT
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    Provides coding agents with 19 pay-per-call developer utilities, npm supply-chain security checks, and Base blockchain lookups, paid via USDC on Base using x402. No API key needed—payment acts as authentication.
    77 npm
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    Provides AI-powered code intelligence for any codebase using local LLMs and vector search, enabling semantic code search, pattern analysis, and context-optimized code generation with 90% token savings.
    2
    MIT
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    Provides tools and prompts for Bitcoin SV development, enabling code search, BRC lookup, and function definition search within locally cloned BSV repositories.
    4 npm
    7
    MIT
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    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.
    MIT
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    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.
    1
    MIT
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    A unified developer toolkit for AI-assisted workflows. Task timing, doc drift detection, env validation, secret scanning, port conflict resolution, AI context generation, and license auditing — one MCP server, one install.
    7
    4
    MIT
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    A coding agent toolkit that provides IDE-like semantic code retrieval and editing tools, enabling LLMs to efficiently navigate and modify codebases at the symbol level rather than working with entire files.
    29
    MIT
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    An MCP toolkit for algorithm learning that enables AI agents to search problems, generate step-by-step hints, analyze code, and create review templates for Baekjoon and Programmers problems.
    16
    10 npm
    1
    MIT