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"Understanding Prompts or Prompt Engineering" matching MCP servers:

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    MCP server for multimodal understanding and object grounding (bounding boxes) across images, videos, and documents, with support for multiple AI providers (Zhipu GLM-V, OpenAI GPT-4o, Anthropic Claude, or any OpenAI-compatible endpoint).
    MIT
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    Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.
    445
    1
    MIT
  • F
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    MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.
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    MCP server that enables AI coding assistants to audit repositories against engineering rules, generating self-contained HTML reports with citations and optional GitHub issue filing.
    10
    1
    Apache 2.0
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    Enables AI agents to generate, view, and analyze engineering diagrams (RF, PCB, EMC) in draw.io using natural language prompts, with auto-layout and 269 engineering stencils.
    10
    9
    AGPL 3.0
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    Enables AI assistants to register prompts for security verification, checking for hidden injections, data exfiltration patterns, and jailbreak attempts, then generate embed codes for displaying security badges on websites.
    4
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    A Model Context Protocol server for managing prompt templates as markdown files with YAML frontmatter, allowing users and LLMs to easily add, retrieve, and manage prompts.
    5
    25
    16
    MIT
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    quality
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    A tutorial demonstrating how to build reusable, parameterized MCP prompt templates using FastMCP, including patterns for research, summarization, and code review.
    2
    MIT
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    Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.
    20
    MIT
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    A small, local, network-free MCP server for the RISEN prompt-engineering framework. It gives any MCP client tools to build, validate, save, and reuse structured prompts.
    8
    MIT
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    Lightweight MCP server for providing user prompts defined in Markdown with argument support.
    6
    BSD 3-Clause
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    quality
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    Provides AI assistants with access to a library of 924 free ecommerce marketing prompts across 43 categories, enabling tools to list collections, search prompts, and retrieve full templates with variables and recommended AI models.
    MIT
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    Automatically extracts actionable methodologies from articles and URLs, stores them in a vector database, and retrieves relevant methods to enhance user prompts for more effective AI interactions.
    4
    MIT
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    Enables creation, management, and templating of prompts through a simplified SOLID architecture, allowing users to organize prompts by category and fill in templates at runtime.
    83
    117
    MIT