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"Tools and Systems for Math, AI, and Proof Verification with Bug Detection and Auto Fixing" matching MCP servers:

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    Enables multi-tier AI-detection screening on academic papers by extracting text from .tex and .docx files, splitting into standard sections, and running a pipeline of statistical and LLM-based analysis.
    MIT
  • F
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    quality
    B
    maintenance
    Enables AI agents to fact-check claims, verify citations, and check source freshness using Wikipedia, Wikidata, Crossref, and Wayback Machine.
    1
  • F
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    quality
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    Read-only MCP server for the July 2026 survey of AI in open-source design systems, enabling agents to query 19 systems' affordances, coercion techniques, and platform data via 9 tools, 2 resources, and 2 prompts.
    1
  • F
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    quality
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    Provides exact arithmetic and verification tools using SymPy and fractions to solve math competition problems precisely. It enables users to perform rigorous calculations and export notebook-ready Python code for further analysis.
  • F
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    quality
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    An MCP-native pipeline for collecting structured intelligence on higher education institutions using the WHED schema, enabling scraping, extraction, validation, and saving of profiles.
  • A
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    A
    quality
    F
    maintenance
    Provides Claude Code with access to a comprehensive bug bounty knowledge base including techniques, payloads, wordlists, and real-world reports through 14 tools for searching, retrieving payloads, and assessing report quality.
    14
    16
    GPL 3.0
  • A
    license
    A
    quality
    C
    maintenance
    A Model Context Protocol server that exposes 8 mathematical tools (arithmetic, algebra, calculus, matrix operations, statistics, probability, unit conversions) to any MCP-compatible AI agent, enabling mathematical computations without code.
    8
    22
    1
    MIT
  • A
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    quality
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    maintenance
    A Python-based MCP server providing mathematical computation tools and plotting utilities for a wide range of math topics including calculus, matrix operations, statistics, and more.
    22
    5
    MIT
  • A
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    quality
    A
    maintenance
    MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.
    27
    AGPL 3.0
  • A
    license
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    quality
    C
    maintenance
    Enables natural language analysis of mechanical test data files (CSV, TDMS, MDF) by providing tools for channel statistics, spectrum analysis, rainflow fatigue counting, thermal state detection, and report generation.
    MIT
  • A
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    quality
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    Provides powerful symbolic mathematics and statistical analysis capabilities, enabling users to solve equations, compute derivatives and integrals, perform statistical tests, and analyze data through natural language requests.
    4
    MIT