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"Using RAG to Provide Documentation to LLMs" matching MCP servers:

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    Automates the conversion of Figma designs into TypeScript React components and integrates with GitHub to create pull requests for the generated code. It includes visual regression testing with Playwright and accessibility validation to ensure implementations match the original designs.
    5
    24
    MIT
  • F
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    maintenance
    MCP server that diagnoses RAG pipeline regression by detecting which failure modes (e.g., retrieval miss, hallucination) significantly regressed, not just score drops, using statistical methods to avoid false alarms.
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    maintenance
    Provides FHIR Implementation Guide facts via MCP tools, enabling querying of must-support, bindings, constraints, and value-set usage from StructureDefinition artifacts for conformance and testing support.
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    Groundlens is a proofreader for what your model writes. It marks the words your sources don't back — and shows you what each one should have said.
    1
    7
    Apache 2.0
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    Enables LLMs to systematically develop and validate regex patterns by defining test cases with expected matches, testing patterns against them, and iteratively refining until all requirements are satisfied.
    4
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    MIT
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    Enables AI agents to rapidly drive and inspect real web pages through persistent browser sessions, using accessibility-tree snapshots and DevTools-grade diagnostics to identify and diagnose issues.
    23
  • F
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    Analyzes Playwright test results to provide structured QA insights, including test metrics, failure analysis, bug report drafts, and release-quality recommendations.
    5
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    Enables Claude to perform thorough code reviews by integrating with Codex and Gemini CLIs to provide senior-level feedback on code quality, security, performance, and best practices. Supports reviewing code snippets, individual files, or entire directories with automatic detection of available review tools.
    4
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    Provides tools to test regex patterns for correctness, performance (ReDoS), and memory usage, and suggests safe rewrites. Enables LLMs to iterate on regex generation with verifiable feedback.
    9
    MIT
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    Enables AI-powered analysis of mobile app bug videos through screen recordings. Analyzes crashes, UI issues, and unexpected behavior in React Native, iOS, and Android apps to provide root cause identification and code fix suggestions.
    1
    24
    MIT
  • A
    license
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    quality
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    maintenance
    An AI-powered security audit tool that analyzes codebases for vulnerabilities using real-time data from MITRE CWE and npm audit. It enables deep analysis of authentication, API security, and dependencies to provide structured findings and remediation steps.
    2
    11
    1
    MIT