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maintenanceFetches category data from a Q&A service API and returns a markdown summary grouped by category.
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"Generating a series of images using MCP from a sample image" matching MCP servers:
- AlicenseAqualityDmaintenanceA TypeScript-based MCP server that implements a simple notes system, allowing creation and management of text notes with URIs and metadata.413MIT
- AlicenseBqualityDmaintenanceA TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and generate summaries of notes via Claude Desktop integration.23ISC
- FlicenseCqualityDmaintenanceA TypeScript-based MCP server implementing a simple notes system that allows users to create, access, and generate summaries of text notes.112
- AlicenseNot gradedqualityCmaintenanceAn HTTP MCP server that indexes large documents into exact-line-numbered sections, enabling AI models to locate, read, summarize, and edit parts of a document without ingesting the whole file.MIT
- AlicenseCqualityDmaintenanceA Model Context Protocol server that implements a simple notes system, allowing users to create, list, and summarize text notes.36ISC
- FlicenseNot gradedqualityCmaintenanceEnables natural language management of Gmail through MCP tools for searching, analyzing, summarizing, drafting, and sending emails, with AI reasoning and user confirmation for actions.
- FlicenseAqualityFmaintenanceProvides various AI capabilities through DeepInfra's OpenAI-compatible API including image generation, text processing, embeddings, speech recognition, object detection, and classification tasks. Enables users to access multiple AI models for diverse tasks like generating images from prompts, transcribing audio, analyzing text sentiment, and performing computer vision operations.102
- FlicenseBqualityDmaintenanceA simple notes system that allows creating, storing, and accessing text notes through MCP resources and tools, with prompt support for generating summaries of all stored notes.118
- AlicenseNot gradedqualityDmaintenanceA server that provides document processing capabilities using the Model Context Protocol, allowing conversion of documents to markdown, extraction of tables, and processing of document images.19MIT
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.1MIT
- AlicenseNot gradedqualityBmaintenanceEnables intelligent document processing by extracting text, classifying document types, and generating structured summaries from PDFs and images using vision LLMs.MIT
- AlicenseNot gradedqualityCmaintenanceEnables generating deterministic, cited research findings from caller-supplied source metadata and excerpts via a local-fixture MCP tool, supporting English and Spanish.Apache 2.0
- FlicenseNot gradedqualityNot gradedmaintenanceProvides detailed character analysis for text, counting total characters, characters without spaces, letters, numbers, and symbols through a simple MCP tool interface.
- FlicenseNot gradedqualityDmaintenanceA Python-based MCP server adapted from the n8n_agent project that implements a note storage and summarization system. It enables users to create, retrieve, and summarize notes through the Model Context Protocol.
- FlicenseNot gradedqualityDmaintenanceEnables automatic analysis and comparison of CVs against a job description, scoring candidates and generating professional reports.
- FlicenseNot gradedqualityCmaintenanceAn MCP server that transforms YouTube educational videos into learning resources by extracting transcripts and generating summaries, notes, quizzes, and flashcards using AI.1
- FlicenseNot gradedqualityDmaintenanceA note management MCP server that enables users to store, retrieve, and summarize personal notes via a custom URI scheme. It provides tools for adding content and prompts for generating brief or detailed summaries of stored information.
- FlicenseNot gradedqualityCmaintenanceEnables grounding AI responses in a local document corpus by exposing MCP tools to list, search, and summarize documents, and generating answers using OpenAI.
- FlicenseNot gradedqualityDmaintenanceA PDF processing server that extracts text via normal parsing or OCR, and retrieves images from PDF files through the MCP protocol with a built-in web debugger.36