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    Enables code search across indexed repositories using regex patterns, with pagination, repository listing, and file context retrieval via Hound integration.
    3
    5 npm
    7
    MIT
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    Enables MCP clients to run read-only static audits on supplied n8n, Dify, Trigger.dev, Activepieces, and OpenAPI exports, and to screen HTTPS URLs for unsafe schemes, returning structured findings and limitations.
    4
    Apache 2.0
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    Lints n8n workflow exports and returns machine-readable findings with per-rule fixes, helping agents and reviewers catch reliability gaps such as missing error workflows, retries that swallow errors, unauthenticated webhooks, and hardcoded secrets without sending data anywhere.
    3
    MIT
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    Enables AI coding agents to perform evidence-based, read-only audits of supported software projects by exposing bounded project inventory and static-analysis findings for discovery, code review, integration tracing, security, and tests. Reports are returned as Markdown or JSON directly in the tool response, with no code executed or files written.
    8
    MIT
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    A Model Context Protocol server that helps programmers understand code by providing explanations, tech stack analysis, and best practice suggestions through prompt templates.
    3
    28 npm
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    ISC
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    Enables LLM-powered debugging with rr reverse execution, allowing record and replay of program execution via GDB/MI for forward and reverse state inspection.
    3
    Apache 2.0
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    Provides code analysis for Next.js projects through the Model Context Protocol, enabling IDE and LLM integration to identify unused files, dead code, and redundant API endpoints.
    37 npm
    8
    MIT
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    Equips agentic AI tools with UI5-specific capabilities such as scaffolding new UI5 applications and integration cards, retrieving API references, guidelines, and version info, and validating manifests or running linters to detect and fix UI5 coding issues. It gives AI assistants the context and tooling needed to build and maintain UI5 projects more reliably.
    221 npm
    MIT
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    Enables AI assistants to research topics, map and analyze codebases across 35+ languages, curate context, and generate requirements documents, user stories, task lists, and full-stack starter projects. It also supports multi-step workflow execution and AI-native task management through a CLI, interactive REPL, or MCP client integration.
    9 npm
    MIT
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    Provides tools that let agentic AI clients scaffold new applications and Integration Cards, retrieve API reference documentation and development guidelines, extract project metadata, and validate manifests or lint code. This helps developers create projects faster and detect and fix framework-specific errors in their code.
    221 npm
    MIT
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    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.
    13 npm
    BSD 3-Clause