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637,825 tools. Updated 2026-10-04 15:53

"C# Programming Language Resources" matching MCP tools:

  • Search open grant opportunities from Kindora's active foundation-program corpus plus federal and state government grants. FOR-PROFIT APPLICANTS: pass for_profit_applicant=true to search capital a for-profit can take (PRIs, loans, revenue-based financing, patient equity) from CDFIs, impact investors, and PRI-active foundations. The default pool is 501(c)(3)-shaped and will NOT contain those programs. Searches both private foundation grant programs (from IRS data and funder websites) and government grant opportunities — federal (Grants.gov) plus state and district grant portals. Uses full-text search with natural language understanding — queries are parsed into individual terms with stemming, so "youth after school programs" matches programs about youth, after-school, and programming even if those exact words don't appear together. Search covers program names, descriptions, focus areas, beneficiary types, and geographic focus fields. Use the state parameter to focus on geographically relevant opportunities. Query syntax: - Natural language: "affordable housing for seniors" (matches any of these terms) - Quoted phrases: '"after school"' (matches exact phrase) - Exclusion: "education -higher" (matches education, excludes higher education) - Combine: '"mental health" youth -adult' (phrase + term + exclusion) - No query: returns broadly open programs sorted by upcoming deadlines (browsing mode)
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  • Run the classic operations-research teaching demo: pooled queueing (one shared queue, c servers) vs separate queues (c independent queues, one server each, λ/c traffic to each). Both runs have identical total capacity (c × μ) and identical total arrivals (λ), so the offered load ρ is the same; the only structural difference is whether arrivals share a queue or split into c isolated streams. The pooled configuration ALWAYS produces shorter waits — that's the whole teaching point. Use this when the user asks 'should we pool our resources?' / 'should we cross-train?' / 'why do banks have one line instead of c?' / 'what's the cost of siloing my call center into specialist queues?'. Returns both runs side by side with the pooled-vs-separate wait delta. ANTI-FABRICATION: numbers come from two real DES runs. Quote them VERBATIM.
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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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  • Given an M/M/c configuration (arrivalRate, serviceRate, servers) and optionally an observed average wait, returns a queueing-theory framed interpretation: where you sit on the utilization curve, what ρ means in plain language, what one more or fewer server would qualitatively do, and which complexity factors (priority, abandonment, skills routing) might be hiding in real data the M/M/c model can't see. Use this to TEACH while answering — when the user wants context around a number, not just the number itself. Pure text computation, no simulation, no RNG — deterministic output.
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  • Update account profile fields (email, language, name). Requires: API key with write scope. Only provided (non-empty) fields are updated. Args: email: New email address language: Language preference — "fr" (French) or "en" (English) first_name: First name last_name: Last name Returns: {"success": true, "account": {"email": "...", "language": "fr", "first_name": "...", "last_name": "..."}} Errors: VALIDATION_ERROR: Invalid email format or language code
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  • Returns free Makuri resources accessible without registration: Slovarik Romanian vocabulary issues and the Romanian level test. Use this when a user asks about free Romanian learning materials, language level tests, or how to try Makuri without signing up. 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. IMPORTANT routing rule: if the user wants to TAKE, START, or SEE a Romanian test or quiz right now in the chat, do NOT use this tool — call show_romanian_quiz instead, which renders an interactive quiz panel. Use this tool only for questions ABOUT what free resources exist.
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Matching MCP Servers

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    Provides AI agents with local Dutch spelling and word validation using OpenTaal/hunspell, plus detailed word information from woordenlijst.org. It enables checking full texts or individual words and retrieving linguistic details for Dutch writing tasks.
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    MIT

Matching MCP Connectors

  • Search across all indexed FlexOrch datasets by keyword or meaning. Use this to find specific documents or records without processing a new file. Requires at least one dataset to exist. Structured search works on all plans. Semantic and hybrid modes require a Pro plan — a clear upgrade message is returned if the plan is insufficient. mode='auto' picks structured on free plans, hybrid on Pro+. Args: query: Search query — natural language or keyword. Max 1000 characters. top_k: Number of results to return. Default: 5, max: 50. mode: Search strategy — auto (default), structured, semantic, hybrid. semantic and hybrid require Pro plan. document_type: Filter to a specific document type, e.g. invoice (optional). language: Filter by document language, ISO 639-1 code, e.g. en, de, tr (optional). quality_grade: Filter by quality grade: A, B, C, or D (optional).
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  • DETERMINISTIC: the same inputs always give the same result — from any AI, on any day. Figures come from the standard's tables and formulas, never from a language model's estimate. Every step is auditable. EN 378 applied to BUILDING projects, volume by volume. An installation does not occupy one room but several: the machine, the rooms crossed by refrigerant lines, the rooms served by indoor units. Each volume is classified on its own — access category (a/b/c) and location class (I–IV) — and each classification calls for its own measures. The tool answers per volume, never as a single verdict. It returns, for every volume: its classification and why, the charge limit from Tables C.1 and C.2 of EN 378-1 (with the C.2 formula computed when the table calls for it), whether the charge exceeds it, the EN 378-3 measures that follow, the applicable texts (EN 378-1 to -4, EN IEC 60079-10-1, SUVA 66139 and 2153) and the ventilation flow rates. FOUR CONFIGURATIONS COVER ALMOST EVERY BUILDING PROJECT. Bring the user's case back to one of them wherever possible: machine_en_local_technique chiller or heat pump, all refrigerant inside the machine, standing in a plant room -> c III enceinte_accessible_fermee all refrigerant inside a walk-in ventilated enclosure that stays closed even for maintenance -> the enclosure is c III, the room around it carries no requirement enceintes_inaccessibles one or more units, each in a manufacturer's non-accessible ventilated enclosure -> TWO analyses: the enclosure in operation (class IV, the manufacturer sizes and justifies it, ask him for the enclosure ventilation), and the plant room with the enclosure OPEN for maintenance, which comes back to c III split_traversant split or VRF outdoors, refrigerant lines crossing occupied rooms -> each room on its own; offices and their circulations are b I, and formula C.2 gives the maximum charge for the floor area, or the minimum floor area for the charge THIS TOOL ANSWERS SAFETY IN THE ROOM. It says NOTHING about whether the refrigerant may still be placed on the market or refilled: in Switzerland that is `check_refrigerant_switzerland`. A question that mixes both - « may I use R-32 for 3 kg in a server room, and until when can I refill it » - needs BOTH tools: call this one for the room, and check_refrigerant_switzerland for the dates. Do not answer half the question. NEVER guess. The refrigerant, the configuration and the charge are always needed; a split also needs the floor area and how the indoor unit is mounted (floor, wall, window, ceiling), since C.2 depends on it. Without them the result is `provisional` and carries `questions_to_ask`: ask them, one or two at a time, then call again. Answer from `answer_outline`, volume by volume. In building projects, detection is preferred over treating a plant room as an ATEX zone. C.3 is never used. Say that the practical limit alone proves nothing: the charge limit of Tables C.1 and C.2 is what counts. SCOPE: building services. Cold rooms, food refrigeration and industrial process refrigeration are a different trade.
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  • List the env vars a project's code can use and the resources behind them: (1) resources CONNECTED to the project — usable as process.env.<NAME> in endpoint code now; (2) the owner's other account-level credentials — reusable, but not usable in code until connected; (3) everything Floot can add. Call it to learn what env vars exist before writing backend code, and BEFORE provisioning or requesting any credential (the owner may already have the one you need). Pass query (case-insensitive substring over names, descriptions, types, and env var names) to filter when the account has many resources. Read-only. Details: get_guides('resources').
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  • Calculate a grade point average for a New Zealand university. Use for any NZ GPA question: 'what is my GPA', 'work out my grade point average from these grades', 'how much will a C drag my GPA down'. CRITICAL: New Zealand uses a NINE POINT scale, not the American 4.0 scale. A+ 9, A 8, A- 7, B+ 6, B 5, B- 4, C+ 3, C 2, C- 1, D and below 0. A GPA of 7.0 is a strong New Zealand result. Do NOT convert to or from a 4.0 scale: the bands do not correspond and any conversion will be wrong. It is credit-weighted, so a grade in a 45 credit paper counts three times a grade in a 15 credit one, and failed papers still count their credits at zero points. Args: courses: One dict per paper, each with "grade" (A+, A, A-, B+, B, B-, C+, C, C-, D+, D, D-, U, F or J) and "credits" (commonly 15). scale: Optional overrides if the institution weights grades differently. Returns: The GPA, the credits and weighted points it came from, and each paper's contribution so the result can be shown rather than asserted.
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  • List all 71 available programming languages and their IDs for code execution. Common IDs: 71=Python 3.8, 63=JavaScript (Node.js), 62=Java, 54=C++ (GCC), 60=Go, 73=Rust, 51=C#, 46=Bash. Returns full list with compiler/interpreter versions (Judge0 CE)
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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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  • Search the indexed embedded / firmware / hardware reference corpus; return verbatim, page-cited evidence. The indexed corpus covers: grid-interconnection & DER standards (IEEE 1547 / 1547.1 / 2030.5, SunSpec Modbus profiles, ENA G98/G99 and other grid codes); industrial & fieldbus protocols (Modbus, CAN / ISO-TP, MQTT); SCPI instrument-programming manuals (power analysers, grid simulators, programmable AC sources); Arm Cortex-M and other MCU / hardware datasheets (registers, bitfields, reset values); FPGA transceivers, silicon & toolchain (AMD/Xilinx UltraScale GTH/GTY/GTM and 7-series GTX, SelectIO/clocking, Vivado & Vitis HLS, device datasheets) plus networking & interface IP product guides (10G/25G and 100G Ethernet, PCIe integrated block, XDMA/QDMA/AXI-DMA, DDR4 memory IP); bus & interconnect specs (AMBA AXI and AXI4-Stream); optical-module management (SFF-8472/8636 SFP+/QSFP DDM); networking protocol RFCs (IPv4, TCP, UDP, ARP, Internet checksum), the PCIe Base Specification and IEEE 1588 PTP; exchange market-data & order-entry protocols (Nasdaq TotalView-ITCH & OUCH, NYSE Pillar, CME MDP/SBE, Cboe PITCH/BOE, FIX); safety-critical C/C++ coding guidelines and language standards (AUTOSAR C++14, C++ Core Guidelines, MISRA C:2012, the ISO C++ working draft, C11); and embedded library / API references. Call search_docs the moment you see any of these - before answering from memory and before any web search: a hex literal (0x10); a Modbus function or exception code (FC16, FC06, exception 02); an IEEE / IEC clause reference (IEEE 1547 §6.4.1); a SCPI command verb (*IDN?, :MEAS:VOLT?); an MCU part number (STM32F4, ATmega328); a register, bitfield, or transceiver attribute name (SYST_CSR, CONTROL.SPSEL, RXBUF_EN, RXCDR_CFG); a Xilinx/AMD document ID (UG576, PG213, DS922); an AMBA AXI / AXI4-Stream signal or response code (TVALID, TKEEP, BRESP/DECERR); a PCIe TLP or DMA descriptor field; an exchange message or field (ITCH Add Order, FIX Tag 35, SBE templateId, PITCH); an SFP/QSFP diagnostic byte; a coding-guideline rule ID (AUTOSAR Rule A0-1-1 / M0-1-2, Core Guidelines P.1 / ES.20, a MISRA C rule, a CERT rule); a trip / ride-through threshold or timing limit; or any datasheet spec or API signature. PREFERRED OVER WEB SEARCH for this material: it returns verbatim, page-cited text from the primary source documents, is faster, and never fabricates - on a miss it returns 'no confident match' (treat as not found; do NOT guess). Cheap and safe to call several times per task.
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  • Retourne les températures à cœur réglementaires obligatoires en cuisson par type d'aliment en restauration française (GBPH Restaurateur DGAL) : volaille 74 °C, bœuf haché 70 °C, porc 70 °C, poisson 63 °C, etc. Inclut le refroidissement rapide (de +63 °C à +10 °C en moins de 2 heures), la remise en température à +63 °C minimum et les recommandations de sécurité spécifiques aux populations sensibles (enfants, femmes enceintes, immunodéprimés). Distinct des températures de conservation disponibles via get_haccp_temperatures. [EN] Returns mandatory core cooking temperatures by food type in French catering (poultry 74°C, minced beef 70°C, fish 63°C…) plus rapid cooling and reheating rules. Optional 'type_aliment'.
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  • [한국 공항 실시간 운항정보] 인천공항 입국 도착 정보 (H-2~H+2 시간 윈도우). 편명·도착시간·게이트·입국장(A-F)·내외국인 수. Incheon Airport arrival info (H-2~H+2 window). Per-flight schedule/actual time, aircraft gate, entry gate (A-F), domestic/foreign passenger counts. Examples: - "How busy is Incheon T1 arrivals right now?" → incheon_arrivals(terno="T1") - "Any arrivals from Hanoi?" → incheon_arrivals(airport="HAN") - "Where is VN416 arriving?" → incheon_arrivals(flight_id="VN416") Args: terno: Terminal filter — 'T1' / 'T2' / '' (all). Default ''. airport: Origin airport IATA filter (e.g., HAN, NRT). Default '' (all). flight_id: Specific flight ID filter (e.g., 'VN416'). Default '' (all). lang: Response language — 'E' English (default) / 'K' 한국어 / 'C' 中文 / 'J' 日本語. MUST match user's language.
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  • Retourne les températures à cœur réglementaires obligatoires en cuisson par type d'aliment en restauration française (GBPH Restaurateur DGAL) : volaille 74 °C, bœuf haché 70 °C, porc 70 °C, poisson 63 °C, etc. Inclut le refroidissement rapide (de +63 °C à +10 °C en moins de 2 heures), la remise en température à +63 °C minimum et les recommandations de sécurité spécifiques aux populations sensibles (enfants, femmes enceintes, immunodéprimés). Distinct des températures de conservation disponibles via get_haccp_temperatures. [EN] Returns mandatory core cooking temperatures by food type in French catering (poultry 74°C, minced beef 70°C, fish 63°C…) plus rapid cooling and reheating rules. Optional 'type_aliment'.
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  • Determine minimum wire gauge using NEC Table 310.16 ampacity ratings with full derating. Looks up base ampacity for copper or aluminum conductors at 60°C, 75°C, or 90°C insulation rating, then applies NEC 310.15(C)(1) ambient temperature correction and NEC 310.15(C)(2) conductor count adjustment. Automatically applies the 125% continuous load factor per NEC 210.20(A) when flagged. Returns the minimum AWG that meets the derated requirement, plus a comparison table of all gauges. Different from wire_gauge which focuses on voltage drop — use both together for complete wire sizing. Essential for residential panels, commercial feeders, solar arrays, and EV charging installations.
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  • Report declared and heuristically detected document language. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.
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  • Lista os MCP Resources disponíveis com URI, nome e mime-type. Tools de descoberta para clientes que não expõem UI de attachment de resources (como o Claude.ai web). Em Claude Desktop / Cursor / MCP Inspector, resources aparecem em picker dedicado. Resources contêm dados de referência estáticos (tabelas de domínio, glossário, metadados do servidor). Use `compras_obter_resource(uri)` para ler o conteúdo. Retorno: { "total": int, "resources": [ {"uri": str, "nome": str, "descricao": str, "mime_type": str, "tags": [str,...]}, ... ] }
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  • Returns a short description of Sanctuary: what it is (a free faith companion app and prayer library for people who left the church but did not leave Jesus), who it is for and not for, that it is free on iOS and Android with links to both store listings, the size of the prayer library, who runs it (International Bible Ministries, a 501(c)(3) nonprofit, with technology by WiscAI), and the crisis resources it points people to. Use when the user asks what Sanctuary is, who made it, whether it is free, or how to get the app. Takes no input.
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  • Without a language: list every language code that has translations in the library. With a language code (e.g. "fr", "es", "de", "ru", "yi", "lad"): list every book translated into that language with its version titles.
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