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"China Phone Number Risk Control Systems and Fraud Prevention" matching MCP servers:

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    Mock MCP server for pediatric CKD risk warning, enabling patient biochemical trend retrieval, deterministic risk rule evaluation, structured alert triggering, and clinical SOP lookup using simulated data.
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    MIT
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    The MCP server behind Constat — FDA & NHTSA regulatory-risk intelligence for AI agents, over the Model Context Protocol. Live public regulatory data — recalls, adverse events, warning letters, 510(k) premarket evidence, postmarket drift signals, reimbursement pathways, and vehicle safety. Decision support, not regulatory advice.
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    MIT
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    Enables quantum systems analysis and simulation including quantum circuits, open quantum systems, quantum chemistry calculations, many-body physics, quantum machine learning, and quantum field theory computations.
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    MIT
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    An MCP server implementing the ROBINS-I V2 framework for risk-of-bias assessment in non-randomized studies, with deterministic algorithms and full provenance. It enables users to parse study documents, specify target trial results, answer signalling questions with evidence-bound quotes, and compute or override domain judgements.
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    Apache 2.0
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    Enables natural language querying of EFSA's OpenFoodTox database containing 8,006 chemical substances with toxicity data, safety assessments, risk limits, and genotoxicity studies for food additives, pesticides, and contaminants.
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    MIT
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    MCP server for polygenic risk score analysis, wrapping just-prs to enable catalog search, PRS computation, VCF normalization, percentile and risk estimation, and quality assessment.
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    MIT
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    Enables AI agents to control Fiji/ImageJ for microscopy image analysis through natural language commands, supporting operations like image opening, filtering, particle analysis, and automated workflows.
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    BSD 3-Clause
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    Connects DHIS2 health information systems to AI assistants via the Model Context Protocol, enabling natural language queries for analytics, metadata, and tracker data.
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    MIT
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    A Model Context Protocol (MCP) server that gives AI assistants direct access to the World Health Organization's Global Health Observatory (GHO) for comparative health systems research.
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    MIT
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    Enables pediatric CKD nutrition assessment by calculating PRNT energy/protein targets, evaluating dietary intake against those targets, and screening for PEW risk, with support for dialysis, vegetarian diets, and edema corrections.
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    This MCP server generates individualized meal plans for children with chronic kidney disease (CKD) based on KDIGO 2024/PRNT 2020/KRCP 2025 guidelines, incorporating patient age, CKD stage, allergies, dietary culture, and diet diary analysis. It provides deterministic nutrient computations and tools for meal plan generation, food database lookup, and risk analysis.
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    MIT
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    Enables AI-driven pharmacogenomic analysis by querying structured genetic variant, drug response, and disease risk data. Supports natural language questions about medications, traits, and health risks based on user genome data, with privacy-first local execution.
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    MIT
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    MCP server for controlling Opentrons robots (OT-2/Flex) via HTTP API v2 and Python Protocol API, enabling protocol validation, upload and execution, status monitoring, run control, and documentation search.
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