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  • F
    license
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    maintenance
    This server enables users to store, manage, and summarize notes using a custom URI scheme, with functionality to add new notes and generate summaries with varying levels of detail.
    3
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  • F
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    quality
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    maintenance
    A TypeScript-based MCP server that implements a simple notes system with resources, tools for creating notes, and prompts for summarization.
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  • F
    license
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    quality
    D
    maintenance
    A Model Context Protocol server for managing text notes, with resources (note:// URIs), tools (create_note), and prompts (summarize_notes).
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  • -
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    maintenance
    A production-ready TypeScript MCP server providing basic tools (add, echo, timestamp), resources (server info, greetings, data access), and prompt templates (analyze, code-review, summarize). Serves as a foundation for building custom MCP servers with extensible architecture.
    334 npm
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  • F
    license
    Not graded
    quality
    D
    maintenance
    A TypeScript-based MCP server that enables users to manage text notes with features like note creation and summary generation using a Model Context Protocol.
    1
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  • F
    license
    Not graded
    quality
    D
    maintenance
    A Flask-based MCP server with web GUI that provides utility tools for mathematical calculations, text analysis, string transformations, timestamps, and Fibonacci sequence generation.
    -
  • F
    license
    Not graded
    quality
    D
    maintenance
    A Model Context Protocol server that implements a simple notes system with resources for notes, a tool to create notes, and prompts to summarize notes.
    1
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  • A
    license
    A
    quality
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    maintenance
    A small MCP server that gives agents rich context about a YouTube video — its transcript, jump-to-the-moment deep links, metadata, and most-replayed moments — so they can answer questions, summarize, pull quotes, or surface highlights.
    7
    3
    MIT
  • A
    license
    A
    quality
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    maintenance
    MCP server for evidence-based bullet point summarization guidance. Validates and improves bullet lists using scientifically-validated principles from cognitive psychology and UX research.
    1
    12 npm
    1
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    tooltrim reduces the tokens agents spend re-reading bloated tool results. Run it as an MCP server exposing compress and expand_tool_output, or as a gateway in front of any upstream MCP server: it re-exposes the upstream tools unchanged and shrinks each result (HTML/JSON/logs/tables) before it reaches the model, keeping the relevant content only.
    2
    2
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Two self-hosted MCP servers: manage a local model machine (Ollama pull/switch, LoRA training) and bridge to local Ollama/vLLM for pure language processing tasks (writing, summarizing, classifying, extraction) without giving the calling agent tools or file access.
    4
    MIT
  • A
    license
    A
    quality
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    maintenance
    Lets any AI agent score and simplify its own text before it reaches a human, using Flesch readability metrics and plain-language rewrites entirely on the local machine.
    2
    MIT
  • A
    license
    A
    quality
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    maintenance
    A FastMCP server that enables AI assistants to extract structured information from unstructured text using Google's langextract library through a secure, optimized Model Context Protocol interface.
    4
    34
    MIT