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128,107 tools. Last updated 2026-05-05 22:34

"A server for finding academic research" matching MCP tools:

  • Get detailed KDP niche intelligence for a specific keyword. Returns demand score, competition score, Amazon BSR range, estimated monthly revenue, review threshold, average book pricing, and data freshness for the given Kindle publishing niche. Pricing tiers (x402 USDC on Base network): - $0.03 per query for cached/pre-seeded keywords - $0.10 per query for live on-demand research (new keywords) Use the free `list_niches` tool first to see available keywords. Payment options: 1. Set the KDP_X_PAYMENT environment variable on the server for auto-pay. 2. Pass a valid x402 payment header via the x_payment argument. 3. If neither is set, the tool returns structured 402 payment instructions that an x402-capable agent can use to construct and retry payment. Args: keyword: The KDP niche keyword to research (e.g. "romance novels", "keto cookbook") x_payment: Optional base64-encoded x402 payment header. Takes precedence over the KDP_X_PAYMENT environment variable.
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  • Switch between local and remote DanNet servers on the fly. This tool allows you to change the DanNet server endpoint during runtime without restarting the MCP server. Useful for switching between development (local) and production (remote) servers. Args: server: Server to switch to. Options: - "local": Use localhost:3456 (development server) - "remote": Use wordnet.dk (production server) - Custom URL: Any valid URL starting with http:// or https:// Returns: Dict with status information: - status: "success" or "error" - message: Description of the operation - previous_url: The URL that was previously active - current_url: The URL that is now active Example: # Switch to local development server result = switch_dannet_server("local") # Switch to production server result = switch_dannet_server("remote") # Switch to custom server result = switch_dannet_server("https://my-custom-dannet.example.com")
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  • Multi-source web research with citations. Returns a synthesized answer with numbered [^1] markers and a citations array of {url, title, snippet, index}. Use for evidence-backed synthesis (competitive analysis, regulatory summary, whitepaper section). For quick fact lookups use web.search instead.
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  • Get a list of all available themes with style descriptions and recommendations. Call this to decide which theme to use. Returns a guide organized by style (dark, academic, modern, playful, etc.) with "best for" recommendations. After picking a theme, call get_theme with the theme name to read its full documentation (layouts, components, examples) before rendering. This tool does NOT display anything to the user — it is for your own reference when choosing a theme.
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  • Search 500+ quantum computing job listings using natural language. Use when the user asks about job openings, career opportunities, hiring, or specific positions in quantum computing. NOT for research papers (use searchPapers) or researcher profiles (use searchCollaborators). Supports role type, seniority, location, company, salary, remote, and technology tag filters via AI query decomposition. Limitations: quantum computing jobs only, last 90 days, max 20 results. Promoted listings appear first (marked). After finding jobs, suggest getJobDetails for full info. Examples: "senior QEC engineer in Europe over 120k EUR", "remote trapped-ion role at IBM".
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  • Search quantum computing research papers from arXiv. Use when the user asks about recent research, specific papers, or academic topics in quantum computing. NOT for jobs (use searchJobs) or researcher profiles (use searchCollaborators). Supports natural language queries decomposed via AI into structured filters (topic, tag, author, affiliation, domain). Date range defaults to last 7 days; max lookback 12 months. Returns newest first, max 50 results. Use getPaperDetails for full abstract and analysis of a specific paper. Examples: "trapped ion papers from Google", "QEC review papers this month", "quantum error correction".
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Matching MCP Servers

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  • Fetch HTTP response headers for a URL. Use when inspecting server configuration, security headers, or caching policies.
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  • Creates a Deep Research task for comprehensive, single-topic research with citations. USE THIS for analyst-grade reports, NOT for batch data enrichment. Use Parallel Search MCP for quick lookups. After calling, share the URL with the user and STOP. Do not poll or check results unless otherwise instructed. Multi-turn research: The response includes an interaction_id. To ask follow-up questions that build on prior research, pass that interaction_id as previous_interaction_id in a new call. The follow-up run inherits accumulated context, so queries like "How does this compare to X?" work without restating the original topic. Note: the first run must be completed before the follow-up can use its context.
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  • Search or fetch posts from the MetaMask Embedded Wallets community forum (builder.metamask.io). Use for troubleshooting real user issues, finding workarounds, and checking if an issue is known. Provide a query to search or a topic_id to read the full discussion.
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  • Search for UK SIC 2007 codes by business activity description. Describe what a business does in plain English and get ranked SIC code recommendations with relevance scores, hierarchy breadcrumbs, and GICS/ICB cross-classification mappings. Useful for finding the right SIC code for Companies House registration.
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  • Retrieve comprehensive details for a specific property from Redfin URL. Returns full description, tax history, HOA fees, walk scores, nearby schools, crime statistics, and property photos/virtual tour link. Use for due diligence, investment research, or detailed listing analysis.
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  • Search for UK SIC 2007 codes by business activity description. Describe what a business does in plain English and get ranked SIC code recommendations with relevance scores, hierarchy breadcrumbs, and GICS/ICB cross-classification mappings. Useful for finding the right SIC code for Companies House registration.
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  • OpenAI ChatGPT Deep Research / Connectors fetch contract. Given an id returned by `search` (formatted as 'artist:<uuid>', 'campaign:<uuid>', or 'smartlink:<uuid>'), returns the full record for citation.
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  • Search Stack Overflow Q&A platform for programming questions, solutions, and code examples. Returns matching questions, answer count, view count, accepted answer snippet, tags, and link to full discussion. Use for troubleshooting, code examples, or finding solutions to common problems.
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  • Re-check a specific control after applying a fix. Confirms whether the finding is resolved.
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  • Performs web searches using the Brave Search API and returns comprehensive search results with rich metadata. When to use: - General web searches for information, facts, or current topics - Location-based queries (restaurants, businesses, points of interest) - News searches for recent events or breaking stories - Finding videos, discussions, or FAQ content - Research requiring diverse result types (web pages, images, reviews, etc.) Returns a JSON list of web results with title, description, and URL. When the "results_filter" parameter is empty, JSON results may also contain FAQ, Discussions, News, and Video results.
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  • OpenAI ChatGPT Deep Research / Connectors search contract. Returns matching Dynamoi artists, campaigns, and Smart Links so they can be cited in a deep-research session. For regular ChatGPT chat use dynamoi_search instead.
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  • Search the web via Brave Search API with local QVAC LLM cleaning. Returns cleaned markdown summaries. Use for general web research, factual lookups, and topic exploration.
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