"FiveM C# Development with AI-Enhanced Codebase Understanding and Reasoning" matching MCP tools:

• compare_separate_vs_pooledA

  QueueSimA

  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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• steam_convertA

  SteamGPTA

  SteamID converter: turns one identifier into EVERY other form, instantly. Accepts steamid64, STEAM_1:0:x, STEAM_0:0:x, [U:1:x], hex (110000...), steam:hex (FiveM), a 32-bit account id or a steamcommunity.com/profiles/ link. Returns steamid64 (dec and hex), SteamID, legacy STEAM_0 form, SteamID3, account id, steam:hex and the profile URL. CHEAPEST TOOL - prefer it over steam_identity whenever you only need format conversion. Vanity names (steamcommunity.com/id/name) are not a computable format: use steam_identity for those.

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• get_llm_trading_decisionsA

  OneQAZ Trading IntelligenceA

  Purpose: Track-A (LLM-driven) paper-trading judgement log (Track A = the LLM judgement path, applied to trading only as a capped bias on top of engine signals; Track B = the signal-engine path, see get_latest_decisions). Triggers (casual questions too): "what does the AI think?", "AI는 뭘 사라고 해?", "show the LLM's trade calls", "AI 판단 근거 보여줘", "does the AI agree with the signals?". When to call: inspect LLM-generated reasoning and trade calls. Prerequisites: none. Next steps: get_latest_decisions to compare with Track B. Caveats: paper-trading only. Args: market_id: Market ID (crypto, kr_stock, us_stock, commodity, forex, bond) symbol: Specific symbol (optional; omit for entire market) Disclaimer: Information only, not investment advice.

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• query_contextA

  mcp-klever-vmA

  Search the Klever VM knowledge base for smart contract development context. Returns structured JSON with matching entries, scores, and pagination. Use this for precise filtering by type or tags; use search_documentation for human-readable "how do I..." answers.

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• censtatd_search_tablesA

  Censtatd HkA

  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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• create_port_monitorA

  UptyBotsA

  Watch one TCP or UDP port on a host and report it up only when the service behind it actually answers. This is the type for game servers, databases, mail and anything else that speaks its own protocol rather than HTTP - Minecraft, Rust, CS2, FiveM, Postgres, Redis, SMTP. The port must be given as part of the url. Set protocol to UDP for game servers; most of them do not answer on TCP at all.

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• nz_gpa_calculatorA

  Calculate.co.nz NZ CalculatorsA

  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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• ado_create_taskA

  ALM X++ MCP ServerA

  WHEN: user asks to create a DevOps Task or start development on a Work Item. Triggers: 'create task', 'créer une tâche', 'start development on', 'commencer le dev sur', 'créer un task ADO', 'new development task for WI'. Create a D365 F&O development Task work item in Azure DevOps following the project naming convention. Rules applied automatically based on the parent work item: (A) Parent title starts with a project prefix + digits (FDD/RDD/IDD/CR/...) => Task named '{Prefix} - N - {Title}', Task is child of that WI, branch '{Prefix}_Task_{id}'. (B) Selected WI is related to a prefixed WI (e.g. a Bug linked to a CR) => Task is child of the prefixed WI, Bug is 'related' to the Task, same naming. (C) No prefixed relation => Task named '{3-letter-type}{wiId} - N - {Title}', child of selected WI, branch '{3-letter-type}{wiId}_Task_{id}'. The N counter increments automatically based on existing sibling tasks. A Git branch is created automatically in the repository. Assignee and CC list are embedded in the task description. LANGUAGE RULE: write the 'description' (Proposed Solution) in the same language the user used in their request. Default is English. If the user wrote in French, write the solution in French. Static section labels (headers, field names) remain in English. Requires DEVOPS_ORG_URL + DEVOPS_PAT (Work Items: Read & Write, Code: Read & Write).

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• route_queryA

  NVIDIA AI CKGA

  Route an NVIDIA AI question to the optimal model and reasoning approach via graph depth. The CKG graph IS the router — hop depth is a deterministic complexity metric. Deeper NVIDIA prerequisite chains (CUDA → TensorRT → TensorRT-LLM → NIM) require more capable models. No heuristic: the graph decides. Routing table: hop_depth 1 → haiku · direct (simple lookup) hop_depth 2 → sonnet · generic_cot (moderate chain) hop_depth 3+ → opus · sparql_cot (deep dependency, structured reasoning) Args: question: Concept name or natural language question about NVIDIA AI. domain: Domain from list_domains() — e.g. "nvidia-tensorrt-triton", "nvidia-nim". Returns: model_tier + reasoning_approach + why + context subgraph to inject before LLM call.

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• get_temperatures_cuissonA

  frigolog-haccp-mcpA

  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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• subnet_calculatorA

  calc.engineerA

  Calculate IPv4 subnet details from CIDR notation. Parses a CIDR block (e.g. 192.168.1.0/24) and returns the network address, broadcast address, subnet mask, wildcard mask, first and last usable host addresses, total and usable host counts, prefix length, and classful IP class (A/B/C/D/E). Essential for homelab network planning, VLAN segmentation, firewall rule design, and understanding address space allocation. Handles special cases for /31 point-to-point links (RFC 3021) and /32 host routes.

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• wire_ampacityA

  calc.engineerA

  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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• donateA

  Blueprint Agentic Staking (Solentic)A

  Build an unsigned SOL transfer to support Blueprint development. Blueprint provides free staking infrastructure for AI agents — donations help sustain enterprise hardware and development. Same zero-custody pattern: unsigned transaction returned, you sign client-side. Suggested amounts: 0.01 SOL (thank you), 0.1 SOL (generous), 1 SOL (patron).

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• citation_enhanced_citation_lookupA

  CourtListenerB

  Enhanced citation lookup combining citeurl parsing with CourtListener data. This tool first uses citeurl to parse and validate the citation format, then optionally queries the CourtListener API for additional case information.

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• billing.statusA

  Admin SubstituteA

  Check subscription status, plan details, billing cycle, and feature access. Useful for understanding what the business can and cannot do on their current plan.

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• list_goalsA

  Un SdgA

  List the 17 UN Sustainable Development Goals (code, title, description). Optionally drill into one goal to get its targets and indicators.

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• get_dependenciesA

  RubygemsB

  Get the runtime and development dependencies for a specific version of a Ruby gem. Returns each dependency with its version requirement string. Omit version to get the latest.

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• get_temperatures_cuissonA

  Frigolog HACCP — French Food Safety ComplianceA

  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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• searchA

  askA

  Search the Pinnacle Ask child-development knowledge corpus (pinnacleblooms.org/ask) — real parent questions with clinically grounded, non-diagnostic answers covering speech, motor, social, cognitive, sensory, feeding and behavioural development from birth to 18 years. Returns ranked results with ids; pass a result id to `fetch` for the full answer. Optionally filter by child age in months and/or developmental domain.

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• timer_555A

  calc.engineerA

  Calculates timing parameters for the ubiquitous NE555 / LM555 timer IC in astable (free-running oscillator) and monostable (one-shot pulse) modes. In astable mode, computes frequency, period, duty cycle, and HIGH/LOW durations from R1, R2, and C using f = 1.44 / ((R1 + 2·R2) · C). In monostable mode, computes pulse width from R and C using t = 1.1 · R · C. Standard 555 astable duty cycle is always >50%; for 50% duty cycle use a diode across R2. Useful for generating clock signals, PWM, delays, and debounce circuits. Chain from ohms_law for power calculations or resistor_color_code for component selection.

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• cc.openclaw_chatA

  Central CommandA

  Call cc.openclaw_chat — Autonomous AI agent specialized in strategy development, backtesting, and continuous market monitoring. Uses indicator libraries, pattern recognition, and instrument specifications. Purpose: Autonomous AI agent specialized in strategy development, backtesting, and continuous market monitoring. Uses indicator libraries, pattern recognition, and instrument specifications. Behavior: conversational AI that CAN place/cancel orders and manage positions when the linked account allows it. Treat as potentially destructive. Confirm intent before asking it to trade live. Auth: X-Api-Key required (and linked exchange credentials for execution actions). Cost: $0.025 USDC per successful call (x402 Base USDC pay-per-use or prepaid X-Api-Key balance). Linked Connect keys are free. This is billing, not a side effect. Rate limit: 10/min (per API key). Tier: enterprise. Returns: Structured AI analysis with computed indicators, detected patterns, strategy recommendations, and task management for autonomous execution. Guidelines: Prefer paper/simulation paths. For live money require explicit human confirmation (confirm_live / action=execute). Report real HTTP errors; never invent proxy failures. Tags: ai, strategy, autonomous, backtesting, patterns, indicators.

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  Destructive

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