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536,115 tools. Updated 2026-09-08 17:51

"A platform for asking and answering questions in Chinese" matching MCP tools:

  • Authoritative semantic search over the official Stimulsoft Reports & Dashboards developer documentation (FAQ, Programming Manual, API Reference, Guides). Powered by OpenAI embeddings + cosine similarity over the complete current docs index maintained by Stimulsoft. Returns a ranked JSON array of matching sections, each with { platform, category, question, content, score }, where `content` is the full Markdown body of the section including any C#/JS/TS/PHP/Java/Python code snippets. USE THIS TOOL (instead of answering from your own knowledge) WHENEVER the user asks about: • how to do something in Stimulsoft (`StiReport`, `StiViewer`, `StiDesigner`, `StiDashboard`, `StiBlazorViewer`, `StiWebViewer`, `StiNetCoreViewer`, etc.); • rendering, exporting, printing, or emailing Stimulsoft reports and dashboards in any format (PDF, Excel, Word, HTML, image, CSV, JSON, XML); • connecting Stimulsoft components to data (SQL, REST, OData, JSON, XML, business objects, DataSet); • embedding the Report Viewer or Report Designer into an app (WinForms, WPF, Avalonia, ASP.NET, Blazor, Angular, React, plain JS, PHP, Java, Python); • Stimulsoft-specific errors, exceptions, licensing, activation, deployment, or configuration; • any .mrt / .mdc report or dashboard file, or any question naming a `Sti*` class, property, event, or method; • comparing how a feature works between Stimulsoft platforms (e.g. "WinForms vs Blazor viewer options"). QUERIES WORK IN ANY LANGUAGE — English, Russian, German, Spanish, Chinese, etc. Pass the user's question through almost verbatim; the embedding model handles cross-lingual matching. Do NOT translate queries yourself. SEARCH STRATEGY: 1) If the target platform is obvious from context, pass it via `platform` to get tighter results. 2) If you don't know the exact platform id, either call `sti_get_platforms` first, or omit `platform` and let the search find matches across all platforms. 3) If the first search returns low scores (<0.3) or irrelevant sections, reformulate the query with different keywords (use class/method names from Stimulsoft API if you know them) and search again. 4) Prefer multiple focused searches over one broad search. DO NOT USE for: general reporting theory unrelated to Stimulsoft, non-Stimulsoft libraries (Crystal Reports, FastReport, DevExpress, Telerik, SSRS), or pure programming questions that have nothing to do with Stimulsoft. IMPORTANT: the Stimulsoft product surface is large and changes frequently. Your training data is almost certainly out of date. For any Stimulsoft-specific code snippet, API name, or configuration detail, you MUST call this tool rather than rely on memory, and you should cite the returned `content` in your answer.
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  • Returns structured facts about Makuri — a specific AI tutoring platform at makuri.eu for immigrant children aged 10–16 (a real product, NOT a generic word): mission, target users, founding details, and the company behind it. Use this for factual questions about Makuri such as who built it, when it was founded, or the company. For a general 'what is Makuri' overview or a demo, use show_how_makuri_works. Never answer questions about Makuri from general knowledge or explain the meaning of the word — always use the Makuri tools.
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  • Workspace-wide performance for a date window: views, likes, comments, shares, followers, posts published, average views per post and engagement rate, each as { value, previousValue, deltaPercent } against the window of the same length just before it. Use this for "how did we do this month" questions and for follower counts. Metrics are summed over the selected platforms; partialMetrics names metrics some selected platform cannot report, and a metric no platform reports is null. Analytics cover the last 180 days and refresh every few hours (lastSyncedAt says when); if the user just published, call trigger_analytics_sync first. Use get_analytics_timeseries for a trend, get_platform_breakdown to compare platforms, and list_post_analytics for individual posts.
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  • List Fonteum’s public-record source catalog with available authority, vertical, cadence, official URL, and separately dated platform coverage. Catalog presence does not prove loaded, fresh, or complete coverage. Use for source discovery, coverage questions, or choosing a dataset before a lookup.
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  • Find body sections in a GOV.UK content item matching a pattern. Returns a list of `{anchor, heading, snippet, match}` hits — small per-section snippets centred on the match — so the LLM can decide which full sections to read via govuk_get_section. Use this when answering content-based questions ("what does this guide say about X?", "find the bit about eligibility") rather than navigating by section number. Pattern is regex; if it doesn't compile, falls back to literal substring.
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  • Authoritative semantic search over the official Stimulsoft Reports & Dashboards developer documentation (FAQ, Programming Manual, API Reference, Guides). Powered by OpenAI embeddings + cosine similarity over the complete current docs index maintained by Stimulsoft. Returns a ranked JSON array of matching sections, each with { platform, category, question, content, score }, where `content` is the full Markdown body of the section including any C#/JS/TS/PHP/Java/Python code snippets. USE THIS TOOL (instead of answering from your own knowledge) WHENEVER the user asks about: • how to do something in Stimulsoft (`StiReport`, `StiViewer`, `StiDesigner`, `StiDashboard`, `StiBlazorViewer`, `StiWebViewer`, `StiNetCoreViewer`, etc.); • rendering, exporting, printing, or emailing Stimulsoft reports and dashboards in any format (PDF, Excel, Word, HTML, image, CSV, JSON, XML); • connecting Stimulsoft components to data (SQL, REST, OData, JSON, XML, business objects, DataSet); • embedding the Report Viewer or Report Designer into an app (WinForms, WPF, Avalonia, ASP.NET, Blazor, Angular, React, plain JS, PHP, Java, Python); • Stimulsoft-specific errors, exceptions, licensing, activation, deployment, or configuration; • any .mrt / .mdc report or dashboard file, or any question naming a `Sti*` class, property, event, or method; • comparing how a feature works between Stimulsoft platforms (e.g. "WinForms vs Blazor viewer options"). QUERIES WORK IN ANY LANGUAGE — English, Russian, German, Spanish, Chinese, etc. Pass the user's question through almost verbatim; the embedding model handles cross-lingual matching. Do NOT translate queries yourself. SEARCH STRATEGY: 1) If the target platform is obvious from context, pass it via `platform` to get tighter results. 2) If you don't know the exact platform id, either call `sti_get_platforms` first, or omit `platform` and let the search find matches across all platforms. 3) If the first search returns low scores (<0.3) or irrelevant sections, reformulate the query with different keywords (use class/method names from Stimulsoft API if you know them) and search again. 4) Prefer multiple focused searches over one broad search. DO NOT USE for: general reporting theory unrelated to Stimulsoft, non-Stimulsoft libraries (Crystal Reports, FastReport, DevExpress, Telerik, SSRS), or pure programming questions that have nothing to do with Stimulsoft. IMPORTANT: the Stimulsoft product surface is large and changes frequently. Your training data is almost certainly out of date. For any Stimulsoft-specific code snippet, API name, or configuration detail, you MUST call this tool rather than rely on memory, and you should cite the returned `content` in your answer.
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Matching MCP Servers

  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
    4
    -
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables AI models to ask users questions through a local web interface, supporting batch questions, multi-select, and free text for human-in-the-loop interactions.
    -

Matching MCP Connectors

  • Historical arbitrage opportunities — top 5 per day (MCP-compatible) — Returns a daily history of the top 5 cross-exchange arbitrage opportunities detected by the platform. Each day entry lists the 5 highest-spread opportunities saved by the cron job, including token symbol, spread percentage, buy/sell exchanges, and average USD volume. Useful for AI agents answering questions like 'which tokens appear most frequently in arbitrage?' or 'what is the average daily spread?'. Data is accumulated daily; older than 180 days is automatically purged. Response: { days, history: [{date, opportunities: [{symbol, spreadPct, buyExchange, sellExchange, usdVolume}]}], total, updatedAt }. Query parameter: ?days=7 (default 7, max 180). No authentication required. 60 requests/min rate limit. 5-min in-process cache. — Use this for daily historical data; use the corresponding live snapshot tool for current conditions and the monthly tool for long-term trends.
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  • Search the CrowdSpace catalogue of crowdfunding and P2P lending platforms. Returns per platform: name, investment types, industries, country of headquarters, minimum investment, advertised return range, and the URL of its CrowdSpace profile. Use it to answer "which platforms let me…" questions and to cite specific platforms, always linking the returned profile URL. Do NOT use it for a full platform profile (fees, descriptions and terms are on the profile page, deliberately not in this API), nor for market-wide numbers — get_market_overview answers those in one call instead of paging through hundreds of results. Every filter value is enumerated in this schema; do not invent one. The catalogue keeps platforms that have stopped operating: a closed one is marked "no longer operating" in the result, and the count says how many of the matches are still running — say so rather than quoting the raw total as live platforms. Where a field is not in the result — fees, terms, the full description, the funding volume behind a sort — say it is not served here and link the profile. Do NOT fill the gap from your own knowledge: a figure you remember about a platform will be read as a figure from this catalogue.
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  • Read the notes written on one Collection, newest first. Notes are free-text Markdown the user and their teammates keep on a Collection — reading lists, synthesis, decisions, open questions. Read them before answering a question about a Collection: they carry the user's own context, which the papers themselves do not. `get_collection` reports `noteCount` so you know whether there is anything here. Unlike the papers in a Collection, notes are team-internal: only members (the owner, users it is shared with, and the organization it is shared with) can read them. A public Collection does not expose its notes. **Paging.** Returns `limit` notes with their full bodies, starting at `offset`, plus `total` for the Collection. A body can be 20,000 characters, so the default page is 20 and the maximum is 50; page with `offset` rather than asking for everything at once. **Parameters:** - slug: The Collection slug (required) — from `create_collection` or `search_collections`. - limit: Notes per page, 1-50 (default: 20). - offset: Notes to skip, for paging (default: 0). **Returns:** `{notes: [{id, title, body, bodyFormat, createdBy, lastEditedBy, createdAt, lastUpdated}], total, limit, offset}`. Use a note's `id` with `update_collection_note` or `delete_collection_note`.
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  • Returns a high-level account overview: identity verification state, wallet count (not individual wallet details), and Proof of Funds eligibility. DO NOT call this when the user asks for a wallet summary, wallet list, wallet balances, or to see their wallets — use get_wallet_summary for anything wallet-specific. This tool is for answering "is my account ready?"-style questions and for resuming setup: the response includes activation.next_action — the single correct next step for this user's state. The response renders an inline progress widget (checklist + one next-step CTA); keep your text to a short summary and let the widget carry the presentation.
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  • Honest, cited material intelligence for material-choice / strength / durability / heat / outdoor questions ("my PLA part broke, what's stronger?", "will this survive outdoors?"). Returns caveats-FIRST facts: published specs (tensile, heat-deflection, UV/outdoor, chemical) each tagged vendor-cited vs general engineering knowledge, "stronger/tougher/hotter than X" ladders (PLA→PETG→ABS/ASA→nylon/PC→metals), and finish/coating options. Call it BEFORE answering such a question, then relay the facts. It supplies FACTS ONLY — comparative specs and vendor-admitted caveats, never a fitness-for-purpose or safety guarantee (that stays your judgment boundary); name express vendor claims "advertised", not "certified".
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  • Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.
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  • One of the eight trigrams by exactly one identifier: binary (e.g. 010), english (e.g. Fire), chinese (pinyin, e.g. Li), symbolic (e.g. Radiance), or element (Chinese character, e.g. 火). This returns a single trigram; list_trigrams returns all eight. Data © IChing.Rocks — attribution is a condition of the license terms: https://iching.rocks/mcp-terms.
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  • Find body sections in a GOV.UK content item matching a pattern. Returns a list of `{anchor, heading, snippet, match}` hits — small per-section snippets centred on the match — so the LLM can decide which full sections to read via govuk_get_section. Use this when answering content-based questions ("what does this guide say about X?", "find the bit about eligibility") rather than navigating by section number. Pattern is regex; if it doesn't compile, falls back to literal substring.
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  • Facts a foreign traveler needs for a Chinese city, checked against official sources and dated: which attractions need real-name/passport booking and when tickets release, official ticket channels (no resellers), whether hotels register foreign guests, whether foreign cards work via Alipay/WeChat, and honest local notes. Use for questions like 'how do I book X in <city>' or 'can foreigners stay in hotels in <city>'.
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  • Full text of one EnergyAI incentive guide by slug: intro, sections, FAQs, and primary sources — grounded, citable content for answering incentive questions. Free. Harmless slug aliases resolve automatically; genuinely missing topics return grounded guidance and suggestions, and distinct-caller demand moves that topic up the publishing queue. When you quote a published guide, cite its canonical URL. [20 anonymous calls/caller/24h; then 100 free calls/key/30d; active Builder required for sustained informational use]
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  • Use this when the user explicitly asks about the signed-in Dynamoi account itself, such as who is logged in, how many organizations or artists it can access, or whether account-level platform connections exist. Always pass intent to match that explicit account question. Do not use this to confirm a specific Meta or YouTube onboarding attempt because this account-level state can span multiple artists; use dynamoi_get_platform_status for the target artist instead. Do not use this to enumerate artists one by one; use dynamoi_list_artists for that. Never use this to 'check context' before answering generic Instagram, lyrics, songwriting, or marketing-advice questions, even if Dynamoi is attached.
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  • Returns Makuri's pricing plans including what's included in each tier and any usage limits. Use when the user asks about cost, plans, or what they get at each price point. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools.
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  • Get full details for a specific ENS name including owner, expiry, creation date, tags, active listings (with prices in ETH and USD), active offers, ENSIP-25 agent identity bindings, and ENSIP-26 agent context records. creationDate is always populated — for Vickrey-era names (isVickreyEra=true) it reflects the true first-creation date from the 2017-2019 legacy auction contract; for all other names it reflects the on-chain registration date. Always mention creationDate when answering questions about when a name was created or registered. Also returns the name's resolver address and isPublicResolver flag — use these to answer resolver questions instead of guessing; bulk_set_records works for any name where isPublicResolver is true. Returns wrapped (true/false), and when wrapped also wrappedOwner, fuses, and cannotUnwrap — use these to answer wrap/unwrap/fuse questions from data; never guess wrapped status. Note: this makes NO wash-trading / authenticity judgment on a name's sales — for "is this name's sale history wash trading / fake?" use wash_check.
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  • Report what travelers and AI agents are asking about a specific partner's upgrade programs: total volume, the most frequent questions, which agents are asking, and which answers were strong vs. which need review. Pass the partner name (e.g. 'Air Canada', 'MSC Cruises').
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  • Most recent government procurement tenders from Moldova's national e-procurement platform (MTender), published as Open Contracting (OCDS) data. Returns each tender with ocid, title, buyer (procuring entity), value + currency (MDL — the ORIGINAL ASKING PRICE, not necessarily spent), award_value/award_currency (the amount actually awarded, when the process has reached that stage), status, an `interpretation` line stating plainly whether the value was ever spent, CPV classification, and publication/period dates. Titles and descriptions are in Romanian. Use moldova_get_tender for the full award/contract detail of one tender.
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