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"Understanding Prompts or Prompt Engineering" matching MCP servers:

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    This MCP server provides research-backed prompt optimization tools and professional domain templates designed to improve AI performance through strategies like Tree of Thoughts and Medprompt. It enables users to analyze, auto-optimize, and refine prompts using advanced reasoning patterns and safety-critical alignment techniques.
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    MIT
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    Provides AI agents with physics-based corrosion engineering calculations, from rapid handbook lookups to mechanistic electrochemical models with dual-tier pitting assessment for material compatibility screening and corrosion rate prediction.
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    MIT
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    Startup engineering acceleration signals for VC investors. Tracks commit velocity, contributor growth, and repo expansion across 20 sectors via public GitHub data. No API key required.
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    MIT
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    Enables AI assistants to perform petroleum engineering calculations including PVT analysis, well performance modeling, and reservoir simulation support using industry-standard correlations and field units.
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    GPL 3.0
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    Enables reliable engineering and scientific computation through tools for exact arithmetic, unit-aware formulas, calculus, linear algebra, statistics, uncertainty propagation, and physical constants, all executed safely in reproducible subprocesses.
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    MIT
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    A CAN bus reverse engineering MCP server for Claude Code that lets Claude read, analyze, and map CAN bus messages from automotive and motorsport ECUs directly from the conversation.
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    An MCP server that enables intelligent searching, filtering, and exporting of Software Engineering papers on arXiv with tools for querying by keywords, authors, analyzing trends, and finding related research.
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    Webhound is a research engine with an explicit effort control: a prompt defines the investigation and a dollar budget defines how much work it deserves. It returns cited reports or sourced datasets with the working documents, claims, sources, limitations, and evidence pack behind the answer.
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    MIT
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    Provides instant access to EMC emission limits, frequency allocations, restricted bands, and compliance requirements including FCC Part 15, CISPR standards, LTE/5G cellular bands, and ISM equipment regulations for engineering compliance queries.
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    AGPL 3.0
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    Enables AI assistants to perform complex chemical engineering calculations including thermodynamic modeling, equation of state calculations, phase equilibrium computations, and vapor-liquid equilibrium analysis. Built on the MoziChem framework to bridge AI language models with specialized chemical engineering tools.
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    MIT
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    Agent-first cyberinfrastructure layer for DesignSafe that enables reproducible computational science workflows (geotechnical earthquake engineering with OpenSees), from planning and validation through approved execution, with provenance and tested snippet grounding.
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    Phoenix MCP Server is an implementation of the Model Context Protocol for the Arize Phoenix platform. It provides a unified interface to Phoenix's capabilites. You can use Phoenix MCP Server for: Prompts Management: Create, list, update, and iterate on prompts Datasets: Explore datasets, and synte
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    Apache 2.0