NewsBlog Composer MCP
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- AlicenseNot gradedqualityBmaintenanceA writing tool your agent calls: it finds timely sources across news, social, and the web, ranks them by relevance, and writes human-sounding posts worth publishing.MIT

newspaper-mcpofficial
AlicenseNot gradedqualityCmaintenanceEnables LLM agents to discover news sources, list articles, parse and extract article text, search news, and perform NLP analysis such as keyword extraction and summarization.MIT- AlicenseNot gradedqualityBmaintenanceEnables agents to discover feeds for a site, retrieve dated feed items as clean JSON, and perform keyless news searches across Google News and Bing News with deduplication and publisher attribution.MIT
- FlicenseNot gradedqualityCmaintenanceExposes publisher journalism to LLMs and agent frameworks via search, retrieval, source grounding, and consistent citation, enabling accurate content retrieval with attribution and policy enforcement.-
- FlicenseNot gradedqualityDmaintenanceAggregates news from 7 APIs and unlimited RSS feeds with AI-powered bias removal and synthesis. Provides over 7,300 free daily requests with conversation-aware caching and 25 comprehensive news analysis tools.1-
- AlicenseAqualityCmaintenanceEnables editorial content QA over the Model Context Protocol with four local tools that analyze readability, AI-sounding language, SEO on-page factors, and produce full reports where every finding includes an actionable fix.41MIT
TDQS
Scored across 18 tools
Most tools have clearly distinct roles in a stepwise pipeline, and descriptions explicitly differentiate overlapping tools (e.g., score_ai_text vs find_ai_words, review_draft vs humanize_text). A few pairs—like the AI-detection tools and the profile-management tools—could still be momentarily confused, but the guidance resolves the boundary. Overall, an agent can reliably select the right tool.
Tool names are consistently snake_case and mostly follow a verb_noun or action-oriented pattern. Minor deviations like `capabilities`, `seo_keywords`, and `seo_audit` are noun phrases without explicit verbs, but they remain readable and predicable. The set is not chaotic.
18 tools is slightly above the ideal 3–15 range, but each tool corresponds to a distinct step in a complete news-blog composition pipeline. Given the end-to-end workflow (verification, fact extraction, SEO, drafting, publishing pack), the count is justified. Nothing feels redundant or padded.
The surface covers the full lifecycle from profile setup and story discovery through verification, fact extraction, SEO, drafting, review, image generation, schema building, and final packaging. There are no obvious dead ends for composing and saving a news blog post. Optional tools like humanize_text are clearly marked, and every major operation has a corresponding tool.