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    Verifies legal citations by fetching the exact, in-force wording of cited articles from official PL and EU legal sources, preventing hallucination by returning verbatim text.
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    Apache 2.0
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    Indexes local documents (PDF, Word, Markdown, text) into a SQLite database for AI agents to search and retrieve bounded, source-located passages. Runs fully locally with optional OCR, preserving privacy.
    5
    MIT
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    Enables Claude Desktop and Claude Code users to get AI-powered legal risk classifications for small business decisions, returning structured GREEN/YELLOW/RED verdicts with statute citations and compliant alternatives.
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    MIT
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    Provides comprehensive tools for searching UK case law, legislation, parliamentary Hansard debates, and HMRC tax guidance. It features a specialized OSCOLA citation parser to extract and resolve legal references directly from text.
    37
    527 PyPI
    20
    MIT
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    A local document evidence layer for MCP clients that ingests documents (PDF, Office, images) with optional OCR, indexes them in SQLite FTS, and provides retrieval tools with source coordinates.
    7
    MIT
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    Enables clients to inspect local PDFs by searching text, rendering pages, and cropping selected regions at high resolution directly from the source document. It runs locally over stdio without requiring models, embeddings, GPUs, or API keys, and does not modify source PDFs or send network requests.
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    MIT
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    A local AI document assistant MCP server that enables listing, reading, and editing documents via tools, resources, and prompts, allowing LLMs to manage document workflows through natural language.
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    Enables AI agents to retrieve the verbatim text of German federal and state statutes, search official case law from BGH, BAG and BVerfG, and compute procedurally exact deadlines under §§ 187–193 BGB with weekend and public-holiday adjustment. It also supplies structured statutory-element blueprints with burden-of-proof allocation and assembles citation-secured research dossiers for pleadings.
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    MIT
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    Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.
    6
    MIT
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    Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.
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    MIT
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    Enables deterministic research of Korean tax-law issues by retrieving and scoring official statutory evidence from law.go.kr and other legal sources, with citation verification and provenance, without deciding legal conclusions.
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    MIT
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    Exposes 55 forensic tools over the Model Context Protocol so agents can query Chilean statutes, jurisprudence, administrative dicta and doctrine from official state sources such as BCN, PJUD, CGR and DT, while running locally for confidential casework. It also supports citation-validated drafting, deadline and docket monitoring, judgment deconstruction, OCR dossier compilation and legal knowledge-graph analysis for civil-law practice, teaching and research.
    87
    97 PyPI
    5
    Apache 2.0
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    提供A股实时行情、历史K线、财务报表、技术指标等全方位数据查询的MCP服务器,支持盘中即时更新及批量查询。
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    MIT
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    Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.
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    An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.
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    Apache 2.0
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    Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.
    3
    MIT