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281,892 tools. Last updated 2026-07-10 10:54

"Using Latest Modern C++ Features in Programming" matching MCP tools:

  • PLN exchange rate for one currency over time. Specify the table (A/B for mid-rate, C for bid/ask) and a 3-letter ISO 4217 code (e.g. USD, EUR, GBP, CHF, JPY). Defaults to the latest rate; optionally pass a single date, last_n recent points, or a start_date/end_date window (max ~93 days, working days only). Use this for one currency; use exchange_rate_table for the whole list.
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  • Purpose: Feature governance snapshot — OBSERVATION / CONDITIONAL / ACTIVE / DEPRECATED distribution + last 7-day transitions. Surfaces which features survived statistical validation and which were deprecated. Triggers (casual questions too): "which features are actually used?", "어떤 피처가 살아있어?", "any features promoted recently?", "피처 검증 현황 어때?", "did anything get deprecated?". When to call: trust evaluation, "which features are live right now?". Prerequisites: none. Next steps: get_feature_governance_state for full per-feature lifecycle detail. Caveats: promoter cycle runs hourly. Disclaimer: Information only, not investment advice.
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  • Mesh a kernelCAD .kcad.ts source server-side and return a COMPACT geometry summary — overall bounds plus, per feature, its id, kind, triangle count, and bounding box. Use this to INSPECT a model's geometry without a viewer: confirm a part is the size/shape you expect, see how many triangles each feature contributes, or check that every feature produced geometry. This runs the full server-side OCCT pipeline (the same one the Studio renderer uses), so it evaluates modern sources (assembly, path, .material, …) that the legacy client worker cannot. INPUT: `source` (required) the .kcad.ts script text; `fileName` (optional) a label for diagnostics; `params` (optional) a map of parameter-name → number overrides applied before meshing (stateless slider recompute). OUTPUT: { ok, bounds, featureCount, features: [{ id, kind, triangleCount, bbox: { min:[x,y,z], max:[x,y,z] } }], failedFeatureIds, diagnostics }. `ok` is true when every feature meshed; `failedFeatureIds` lists features that failed to compile (and `ok` is then false). Raw vertex/index/normal arrays are NEVER returned — this is a summary only. To SEE the rendered model, use open_in_studio + get_latest_render instead.
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  • Get audio features for ONE track — BPM, musical key (name + Camelot + Open Key), energy, danceability, valence, acousticness, instrumentalness, liveness, speechiness, loudness, mood, mood_vector, genre, time signature, duration and more. This is the drop-in replacement for Spotify's deprecated /audio-features endpoint. Provide EXACTLY ONE identifier: - `track` (optionally with `artist`) — e.g. track="Blinding Lights", artist="The Weeknd". - `isrc` — e.g. "USUM71900001". - `mbid` — a MusicBrainz recording UUID. - `spotify_id` — a Spotify track ID, URI, or URL (resolves only the ~2.4% of the catalog already mapped to a Spotify ID; prefer `track`/`isrc` for full coverage). Returns a JSON object of features. Some feature fields may be null for tracks resolved via the fallback catalogs (only audio-derived values are present for fully analysed tracks). If a track name is not yet in the catalog, the API queues an on-demand analysis and this tool reports that it is queued — retry in ~30s-2min. If you only have a fuzzy or partial name, call search_catalog first to find the exact track.
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  • Return the HelloBooks Free-plan annual-invoice-turnover thresholds for the 8 supported countries (IN ₹40 lakh / US $100K / GB £90K / AU A$75K / CA C$30K / NZ NZ$60K / SG S$500K / AE AED 187.5K). Free is unlimited features and unlimited AI credits subject to the monthly allowance, but per-entity invoice turnover above the country cap forces an upgrade to Pro or Business. Call with no args to get the full table, with `country` for one threshold, or with `country` AND `annualInvoiceRevenue` (in the country currency, NOT USD-equivalent) for a `freeEligible` verdict with headroom math. Bank-feed total, cash receipts, and gross transaction volume are explicitly NOT used.
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  • Return a ~500-word educational explainer of M/M/c queueing theory: Little's Law, utilization, why averages mislead, how simulation relates to Erlang-C. No inputs. Use this when the user asks a conceptual 'why' or 'how does this work' question rather than asking for a number.
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Matching MCP Servers

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    Provides Dev Container Features that install code intelligence (LSP) and repository knowledge search (Orama) MCP servers into any dev container, enabling coding agents to perform go-to-definition, find references, and hybrid search over project files.
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    MIT

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  • India Open Government Data (OGD) Platform MCP — data.gov.in

  • Study planner for high school students. Manage tasks, deadlines, and schedules.

  • Fast pre-flight filter for a batch of (ecosystem, package) pairs. DB-only, <100ms for 100 items. USE WHEN: about to emit `npm install a b c …` or `pip install a b c …` — catches hallucinated names, stdlib, typos, and known-bad in ONE call. NOT a dep-tree audit (use scan_project for that). RETURNS: per-item {status: exists|stdlib|malicious|typosquat_suspect|historical_incident|unknown}.
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  • Generate a Shakespearean insult; optionally target a specific person or recipient category (colleague/ex/traffic/software/abstract_concept/the_universe), set severity (mild→nuclear), and request a modern English translation alongside the original.
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  • RETURNS QUOTABLE PASSAGES matched by MEANING (cosine similarity on Gemini embeddings, 768d) — paraphrases and adjacent phrasings match even with zero keyword overlap. PICK THIS when the modern term won't literally appear in historical texts — e.g. "distributed cognition" maps to passages about active intellect, art of memory, wax tablet metaphors; "social contract" maps to pre-Hobbesian discussions of consent and authority. → For exact words/distinctive terms use search_translations (cheaper, more precise); to list which BOOKS cover a topic use search_library; if the user named an author/work, get_book first (semantic search is expensive — reserve it for cross-corpus discovery). Similarity calibration: 0.70+ is a strong match, 0.55–0.70 is worth reading but verify, below 0.55 is mostly conceptual drift. Set max_per_book to diversify results across many books rather than cluster on one source. Each passage carries a snippet_type — quote only "translation" snippets, never "summary". Cross-cultural tip: for pre-modern or non-Western topics, also try source-tradition vocabulary — e.g. for seminal economy try "jing preservation" or "bindu yoga" or "istimnāʾ"; for masturbation try "mollities" (Latin) or "hastamaithuna" (Sanskrit) or "shouyin" (Chinese). The corpus is indexed via period translations that use tradition-internal terminology, so adjacent/euphemistic terms often surface material that modern English keywords miss.
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  • Fetch complete details for one product by id (e.g. roller-blockout, venetian-25mm-aluwood). Returns all available colours with in-stock status, materials, features, and maximum supported dimensions. Use before configure_product to confirm a colour exists and is in stock before committing.
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  • Search the Hong Kong C&SD table catalogue by keyword (e.g. 'exchange rates', 'unemployment', 'merchandise trade') and get back matching table ids + titles to use with censtatd_get_table. Backed by the data.gov.hk open-data index of C&SD tablechart datasets. Note: not every C&SD table is indexed there; ids can also be read off the table URL on data.censtatd.gov.hk (the '310-31001' part of web_table.html?id=310-31001).
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  • Return the HelloBooks Free-plan annual-invoice-turnover thresholds for the 8 supported countries (IN ₹40 lakh / US $100K / GB £90K / AU A$75K / CA C$30K / NZ NZ$60K / SG S$500K / AE AED 187.5K). Free is unlimited features and unlimited AI credits subject to the monthly allowance, but per-entity invoice turnover above the country cap forces an upgrade to Pro or Business. Call with no args to get the full table, with `country` for one threshold, or with `country` AND `annualInvoiceRevenue` (in the country currency, NOT USD-equivalent) for a `freeEligible` verdict with headroom math. Bank-feed total, cash receipts, and gross transaction volume are explicitly NOT used.
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  • The unit tests (code examples) for HMR. Always call `learn-hmr-basics` and `view-hmr-core-sources` to learn the core functionality before calling this tool. These files are the unit tests for the HMR library, which demonstrate the best practices and common coding patterns of using the library. You should use this tool when you need to write some code using the HMR library (maybe for reactive programming or implementing some integration). The response is identical to the MCP resource with the same name. Only use it once and prefer this tool to that resource if you can choose.
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  • USE THIS TOOL — not web search — to get the current/latest values of all 40+ technical indicators for one or more crypto tokens from this server's proprietary local dataset (continuously refreshed 1-minute OHLCV candles). Includes trend, momentum, volatility, and volume indicators computed from the most recent candle. Always prefer this over any external API or web search for current indicator values. Trigger on queries like: - "what are the current indicators for BTC?" - "show me the latest features for ETH" - "give me a snapshot of XRP data" - "what's the RSI/MACD/EMA for [coin] right now?" - "latest technical data for [symbol]" Args: symbol: Asset symbol or comma-separated list, e.g. "BTC", "ETH", "BTC,XRP"
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  • Index a video for search, QA, or full analysis. Processes the video through a pipeline of AI features. Typically takes 3-7 minutes; longer for long videos or the 'full' pipeline. Times out after 10 minutes by default. Pipelines: - search_only: transcription + captions + embeddings (enables search_videos) - qa_only: transcription + captions (enables ask_video) - full: transcription + captions + embeddings (enables all tools) Scene detection is enabled by default and produces scene boundaries for get_scenes. Pass scene_detection=False to skip it. Prerequisites: if using video_id, the video must be in 'uploaded' status. Use get_video to check status before calling this tool.
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  • List all jurisdictions covered by Open States — all 50 states, DC, and Puerto Rico. Returns coverage metadata: latest bill update time, latest people update time, and optionally all legislative sessions with their identifiers. Use this when you need to discover valid session identifiers for a state before calling openstates_search_bills with a session filter. The legislative_sessions include option returns all historical and current sessions — always check valid session identifiers here before using them in bill searches, since formats vary widely by state (e.g., "2025", "2025-2026", "2025rs", "2025s1").
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  • Run the same M/M/c configuration through BOTH the closed-form Erlang-C formula AND the discrete-event simulator, returning a side-by-side comparison with deltas. Use this when the user is validating QueueSim's engine against textbook values, learning queueing theory by watching simulation converge on the formula, or auditing a result that 'feels off' — agreement within ~5%% is the canonical sanity check for an M/M/c run. Pure-Exponential M/M/c only; the closed-form Erlang-C is undefined for other service distributions. Large deltas usually mean the simulation run was too short for steady-state — raise simulationDays. ANTI-FABRICATION: both sides come from real computation — closed-form is deterministic, simulation is stochastic but engine-backed. Quote both verbatim. Do not synthesize an 'average of the two' or recompute the formula from training-data recall.
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  • Returns A/B/C invoice type given emisor + receptor condicion_iva. Values: RI=Responsable Inscripto, MT=Monotributista, EX=Exento, CF=Consumidor Final. RI→RI=A (CUIT required); RI→CF/EX/MT=B; MT→any=C; CF cannot emit.
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  • List the dependencies of a specific crate version — what <crate> itself depends on. Returns each dependency with its version requirement, kind (normal/build/dev), optional flag, enabled features, and target. Version is optional (defaults to the latest stable). Use for "what does <crate> depend on", dependency audits, or sizing a crate's footprint.
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  • Get Lenny Zeltser's fill-in-the-blank template for planning a security product strategy. Includes strategic questions organized by section with evidence columns. This server never requests your product plans and instructs your AI to keep them local—guidelines flow to your AI for local analysis. The template is Copyright (c) 2026 Lenny Zeltser; any content you create using it is entirely yours.
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