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Mohammed-Jameal-J

NewsBlog Composer MCP

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      A 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.
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    • A
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      Enables AI agents to generate duration-aware, fact-checked video scripts from topics or transcripts by exposing tools for live news/web research, article fetching, and transcript ingestion, plus resources and style prompt templates.
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    • A
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      Enables 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.
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      Enables 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.
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    • F
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      Exposes publisher journalism to LLMs and agent frameworks via search, retrieval, source grounding, and consistent citation, enabling accurate content retrieval with attribution and policy enforcement.
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    • F
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      Aggregates 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.
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    TDQS

    A3.9/5.0

    Scored across 19 tools

    Disambiguation3/5

    Several tools sit close together: write_blog_post and draft_brief both return writing plans, get_profile and capabilities both report configuration state, and find_ai_words/review_draft/score_ai_text/humanize_text all target AI-sounding prose. The detailed step-numbered descriptions separate them in practice, but an agent choosing from names alone could easily select the wrong one.

    Naming Consistency4/5

    Most names follow a clear verb_noun pattern (fetch_article_facts, review_draft, save_and_present) and are consistently snake_case, so the set is readable. A few exceptions like seo_keywords, seo_audit, and capabilities break the pattern, and write_blog_post is named as though it writes but actually just plans.

    Tool Count3/5

    19 tools is in the heavy range for an MCP server, and although each tool represents a pipeline step, the surface is large for an agent to hold in context. The tools are not obviously redundant, but the count feels more like a full application than a focused toolset.

    Completeness4/5

    The pipeline covers story discovery, verification, fact extraction, drafting, review, humanization, SEO, schema, image generation, and a publish pack, so there are no critical dead ends. Gaps are minor: image upload to a public URL and actual publishing/site integration are left to the agent, and there is no way to edit an already-saved post.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues