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maintenanceAn MCP server for searching Zenn blog posts and generating frontend weekly content summaries.
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"A server for finding scientific articles, creating ad ideas, and deploying Facebook ads" matching MCP servers:
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- 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
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- AlicenseAqualityFmaintenanceIntegrates Vale prose linting into AI coding assistants, enabling users to check text files for style and grammar issues using Vale's powerful linting engine. Provides automated style feedback with smart configuration discovery and rich formatted results.318MIT
- FlicenseAqualityDmaintenanceEnables natural language interaction with local .docx files, allowing users to find, read, search, and summarize Word documents using friendly names and location hints.53
- FlicenseAqualityBmaintenanceExposes the Aporix document optimization API as an MCP tool for AI agents, enabling document compression and token/cost savings analysis.1
CaseMargin MCP Serverofficial
AlicenseAqualityAmaintenanceExposes support case reasoning tools — generate structured case briefs and check escalation readiness from any MCP-compatible AI client.24971MIT- AlicenseAqualityCmaintenanceAn MCP server providing secure calculation, knowledge base search, and text statistics tools, along with resources and prompts for enterprise agent integration.3MIT
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DeepL MCP Serverofficial
AlicenseAqualityAmaintenanceA Model Context Protocol server that enables AI assistants to translate and rephrase text between numerous languages using the DeepL API.13343110MIT- FlicenseAqualityCmaintenanceA Python MCP server for web research that enables fetching web pages, searching, batch-fetching, extracting links, and summarizing content via client-side sampling, with optional local file access.9
- FlicenseAqualityBmaintenanceConverts subtitles or text into a single 1080×1620 infographic card (HTML+PNG) using LLM to generate content and Puppeteer for rendering.3
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