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"Automating Page and Interface Testing" matching MCP servers:

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    Extracts people (names and titles) from a company's team, leadership, or about page given a domain. Uses Apify to crawl and return structured data, with optional filters for seniority and email inclusion.
    1
    MIT
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    A read-only MCP server for bounded table discovery, deterministic profiling, and maintained-library statistical testing (Welch's t-test and two-proportion z-test) using SQLite, pandas, SciPy, and statsmodels.
    3
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    MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.
    24
    AGPL 3.0
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    A self-contained MCP server that gives AI agents the ability to calculate high-precision astronomical data. It provides tropical zodiac coordinates, planetary speeds, retrograde detection, and house cusps using the trusted Swiss Ephemeris engine. 100%
    3
    AGPL 3.0
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    Enables simulation and analysis of M/M/1 and M/M/c queuing systems using SimPy, with tools for parameter validation, theoretical metric calculation, simulation execution, and comparison of separate vs pooled queue strategies.
    MIT
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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.
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    Enables semantic search across personal PDF paper collections with page-level citations, allowing users to query their library from any MCP-capable client.
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    MCP server for LinkedIn Company Page analytics, providing follower growth, demographics, page views, and engagement stats via the Community Management API.
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    Enables running Simulatte's 26 research SKUs (concept testing, pricing, etc.) from any MCP-compatible AI client, returning structured JSON results.
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    MIT
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    Enables AI assistants to search and access arXiv research papers through a simple Message Control Protocol interface, allowing for paper search, download, listing, and reading capabilities.
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    Apache 2.0
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    MCP server for automating LTspice on macOS, enabling simulation, schematic generation, data extraction, verification, and rendering via natural language or agents.
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    Minds MCP enables AI assistants to run synthetic market research end to end using grounded synthetic customer panels for concept testing, message testing, and segment comparison, with durable server-side studies exporting to PDF, CSV, XLSX, JSON, and Markdown.
    2
    MIT