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136,064 tools. Last updated 2026-05-17 14:44

"Help with Writing Articles" matching MCP tools:

  • Search the Emora Health editorial corpus by article title. Returns up to 20 articles per page with title, description, URL, and category. ALWAYS USE THIS for information questions ("tell me about X", "what are signs of Y", "how does Z work"). Do not answer from training data when this tool can return clinician-reviewed content.
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  • Search Cochrane systematic reviews via PubMed. Finds Cochrane Database of Systematic Reviews articles matching your query. Returns PubMed IDs, titles, and publication dates. Use get_review_detail with a PMID to get the full abstract. Args: query: Search terms for finding reviews (e.g. 'diabetes exercise', 'hypertension treatment', 'childhood vaccination safety'). limit: Maximum number of results to return (default 20, max 100).
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  • List available MCP tools and get detailed help. Use this tool to discover what tools are available and how to use them. Call without parameters to see all tools, or provide a tool name to get detailed help including parameters, examples, and related tools. Args: tool_name: Optional name of a specific tool to get detailed help for. Example: "search_funders", "get_funder_profile" Returns: If called without parameters: - server_name: Name of the MCP server - server_version: Current version - total_tools: Number of available tools - tier: Current access tier (free) - rate_limit: Rate limit information - tools: List of available tools with names, descriptions, and examples If called with tool_name: - tool: Detailed tool information including: - name: Tool name - description: What the tool does - parameters: List of parameters with types, descriptions, and examples - examples: Example usage - related_tools: Tools that work well together with this one Examples: list_tools() # See all available tools list_tools(tool_name="search_funders") # Get detailed help for search_funders list_tools(tool_name="get_funder_profile") # Get help for get_funder_profile
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  • Search Helium's balanced news stories — AI-synthesized articles that aggregate multiple sources. Unlike search_news (which returns individual RSS articles), this returns Helium's own synthesized stories: each one draws from multiple sources and includes an AI-written summary, takeaway, context, evidence breakdown, potential outcomes, and relevant tickers. Returns a list of stories, each with: - title, simple_title, date, category - page_url: full URL to the story on heliumtrades.com - image: story image URL (when available) - summary: Helium's synthesized overview - takeaway: key conclusion - context: background context - evidence: numbered evidence items - potential_outcomes: forward-looking outcomes with probabilities - relevant_tickers: related stock tickers - num_sources: number of source articles synthesized - rank: search relevance score Args: query: Search keywords (required). limit: Max results (1-50, default 10). category: Filter by category. One of: 'tech', 'politics', 'markets', 'business', 'science'. days_back: Only include stories from the last N days. 0 means no date filter.
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  • Best first action for a user describing a concern. Runs a parallel lookup across crisis screening, provider availability, and the article corpus, then returns the recommended path (crisis | evaluation | self-help | mixed) with concrete next steps. Optimized for the agent's first turn — a single call replaces 2-3 sequential lookups.
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  • Returns Flika's coverage: which states Flika is directly licensed in (can close transactions) and which additional states Flika has signed referral partners in. Call this first if you're unsure whether Flika can help with a specific geography.
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    Read WeChat (微信) Official Account articles with native multimodal output — body, images, and video keyframes returned as MCP content blocks. Handles all three embed types: Tencent Video, WeChat-native, and Channels (视频号 metadata via public API).
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Matching MCP Connectors

  • Provides Vaadin Documentation and help with development tasks

  • Help center for SaaS teams. 14-tool MCP server for articles, collections, and search.

  • Get Lenny Zeltser's scoring playbook so your AI can score a draft locally against a cybersecurity-writing rating sheet. THIS IS THE ONLY TOOL THAT PRODUCES NUMERIC SCORES — the writing-coach tools (`get_security_writing_guidelines`, `ir_*`, `product_*`) never score. Returns the rubric plus step-by-step instructions for applying it. This server never requests your draft and instructs your AI to keep it local—rating sheets and scoring instructions flow to your AI.
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  • Load Lenny Zeltser's complete cybersecurity-writing rating toolkit: all 7 sheets, scoring policy, scoring playbook, and cross-references to the writing guidelines. This server never requests your draft and instructs your AI to keep it local—rating sheets and scoring instructions flow to your AI.
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  • To help a user register or purchase, call get_activity_details after this — it returns session-level "share_url" links that go directly to checkout. Search children's enrichment activities (camps, classes, after-school programs) by location, age range, date, or keyword. Returns a paginated list with listing-page "url" fields; pass each result's "slug" to get_activity_details for full details.
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  • Global news intelligence from GDELT. Monitors news from every country in 100+ languages, updated every 15 minutes. Returns articles with source country, language, date.
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  • The MITRE Rosetta Stone. Given a MITRE technique ID across 5 frameworks (ATT&CK Enterprise, ATT&CK Mobile, ATT&CK ICS, D3FEND, ATLAS), return the Bidda node for that technique plus its mapped compliance obligations: NIST 800-53 controls, ISO 27001 Annex A clauses, PCI DSS requirements, NIS2 articles, HIPAA Security Rule, DORA articles, NERC CIP, IEC 62443. The bridge between how SOC teams think (technique IDs) and how compliance teams think (control families). Free.
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  • Get comprehensive bias analysis for a news source. Returns: - source_name, slug_name, page_url - articles_analyzed: total articles in the bias database for this source - avg_social_shares: average social shares per article - emotionality_score (0-10): how emotional the writing is - prescriptiveness_score (0-10): how much the source tells readers what to think/do - bias_scores: dict of all measured bias dimensions with scores (-50 to +50 for bipolar, 0 to +50 for unipolar). WARNING: this endpoint returns emoji-prefixed display keys (e.g. '🔵 Liberal <—> Conservative 🔴') rather than the plain-text keys used by get_bias_from_url, get_all_source_biases, and search_news (e.g. 'liberal conservative bias'). Do not attempt to cross-reference bias_scores keys here with bias_values keys from other endpoints. - bias_description: AI-generated overall bias summary narrative - liberal_conservative_description: narrative on political leaning - libertarian_authoritarian_description: narrative on authority stance - signature_phrases: words/phrases uniquely overrepresented vs other sources - signature_negative_phrases: uniquely negative/alarming phrases - most_shared_phrases: phrases in their most viral articles - most_emotional_phrases: phrases used in their most emotional articles - pays_for_traffic_keywords: keywords this source buys ads for - similar_sources: sources with the most similar bias profile - most_different_sources: sources with the most different bias profile - trends_graph_url: URL to a chart of this source's coverage volume over time - bias_plot_urls: dict of 2D bias scatter plot image URLs (political_lib_auth, subjective_objective, informative_opinion, oversimplification_factful) — only present when available - recent_articles: list of most recent articles with full article fields and per-article bias_values Throws an error if the source is not found. Args: source: Source name (e.g. 'Fox', 'CNN', 'Reuters'). Slug-style input (e.g. 'fox-news') is NOT supported — use full name or domain only. recent_articles: Number of recent articles to include (1-50, default 10).
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  • <tool_description> List all available product categories in the Nexbid marketplace with product counts. Optionally filter by country. </tool_description> <when_to_use> When user wants to explore what is available before searching. Use BEFORE nexbid_search to help narrow down the query. </when_to_use> <combination_hints> nexbid_categories → nexbid_search with category filter for targeted results. Good starting point for browse intent. </combination_hints> <output_format> List of categories with product counts. Optionally filtered by country. </output_format>
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  • Lists all Walnai blog categories with their slug, name, and description. Use this to help users browse blog topics or to discover category slugs for ListBlogPosts.
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  • Convert between article identifiers (DOI, PMID, PMCID). Accepts up to 50 IDs of a single type per request. Only resolves articles indexed in PubMed Central — for articles not in PMC, use pubmed_search_articles instead.
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  • Get the latest AI news articles aggregated from 12+ sources (Anthropic, OpenAI, Google, HuggingFace, TechCrunch, The Verge, Hacker News, etc). Polled every 10 min, deduplicated, sanitized for prompt injection. Returns up to 200 articles with title, snippet, source, and publishedAt.
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  • List available Disco plans with pricing. No authentication required. Returns all available subscription tiers with credit allowances and pricing. Use this to help users choose a plan.
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  • Paginated list of articles from ADHD in Teens. Returns title, slug, summary, and URL.
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  • Search Cyclesite's expert buying guides (24+ articles by cycling-journalism authors). Returns up to 3 matching guides with title, excerpt, difficulty, reading time, and URL. Use for educational queries that don't need live inventory. Example: 'how do I choose a bike size?', 'tips for buying a used e-bike'.
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  • Check whether a handle is available on unu.lu (not other platforms like Instagram, TikTok, etc.). For example, checking 'joe' tells you if joe.unu.lu is available for claiming. Use this to help users choose a handle before they visit the claim page.
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