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"Hybrid Memory Models Combining Relational, Graph, and RAG Approaches" matching MCP servers:

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    Provides access to 529,000+ US statute sections across all 50 states and federal codes for comprehensive legal research. Supports semantic search, citation graph traversal, jurisdictional comparisons, and regulatory risk analysis through natural language queries.
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    MIT
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    MCP server for answering questions about official statistics from a single publication URL, with tools to check query scope, retrieve overview, text, data files, and search.
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    Enables high-performance access to USPTO Final Petition Decisions API with intelligent context reduction (80-99%), customizable fields, hybrid document extraction (free PyPDF2 + Mistral OCR fallback), and seamless cross-MCP integration for complete patent lifecycle analysis including prosecution history, PTAB challenges, and citation intelligence.
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    MIT
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    Connects AI clients to Argentina's official legal database (SAIJ) to search and retrieve court rulings, legislation, summaries, and legal doctrine. It enables users to perform keyword searches and fetch detailed metadata and summaries for Argentinian legal research.
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    MIT
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    Provides official INDEC register designs and methodological rules to AI models, enabling accurate EPH data analysis code (R/Python) without hallucinations.
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    Provides access to official Spanish fiscal data and tools based on AEAT and BOE sources, covering income tax, VAT, and regional deductions. It enables AI assistants to answer tax-related queries and verify filing deadlines using verified information.
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    MIT
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    An MCP server that connects AI models to the Lobbywatch.ch database, providing access to Swiss parliamentarians' conflicts of interest, lobby groups, access badges, and transparency scores.
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    MIT
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    An MCP server connecting AI models to the Swiss Federal Parliament via the Curia Vista OData API, enabling queries of motions, votes, members, sessions, and debate transcripts without authentication.
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    MIT
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    Enables accessing and querying Dutch government open datasets from CBS and data.overheid.nl, with tools for searching, filtering, downloading, and analyzing data using CSV, Parquet, DuckDB, or Pandas.
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    MIT
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    Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.
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    Apache 2.0
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    Central Bank of Russia (CBR) data for AI agents — daily and historical currency rates, key rate, inflation, and macro statistics. Five typed MCP tools, in-memory TTL cache, MIT-licensed, no API key required.
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    MIT