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    Enables natural language interaction with the Korean Personal Information Protection Act (PIPA) through 37 MCP tools that search, compare, analyze, and verify legal texts, official guidelines, and consulting cases from authoritative sources.
    37
    11
    4
    MIT
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    MCP server that enables accessing Jira and Confluence using browser cookies captured via a Chrome extension, avoiding the need for API tokens or browser automation. It wraps the mcp-atlassian toolset and works with Atlassian Cloud and Server/Data Center behind SSO.
    1
    GPL 3.0
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    A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.
    MIT
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    Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.
    MIT
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    MCP server that enables introspection of any MCP server's registered tools by exposing mcpreg/list, mcpreg/get, and mcpreg/query tools, making tool registry accessible even when the underlying SDK lacks list_tools().
    MIT
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    Enables local analysis of scientific papers including PDF parsing, mathematical formula extraction with AST generation, PyTorch code generation from methodology, and automated Markdown report generation with visualizations.
    15
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    An MCP server for local PDF inspection that classifies, searches, extracts text and tables without uploading documents or relying on OCR, surfacing reliability warnings for garbled or scanned content.
    4
    456
    MIT
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    An MCP server that checks whether a vendor API or SDK is active, deprecated, or sunset, using a curated dataset. Enables agents to verify deprecation status before upgrade/maintenance work.
    1
    286
    MIT
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    Provides read-only access to finished meeting transcripts for AI assistants like Claude Code or Codex, enabling them to answer questions or draft summaries based on the transcriptions.
    4
    3
    Apache 2.0
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    Fetches glasz-style spec files (product.md, tech.md, test-plan.md, and INDEX.md) from GitHub repositories, enabling LLMs to answer questions about features, stories, and acceptance criteria without cloning or pasting files.
    2