"How to Create 2D Fighting Games in Godot Engine" matching MCP tools:

• create_patient_stream

  Uphealth Signal

  Create a Signal cued stream for one patient and get the first cue back synchronously. Every cue is federally-sourced, audience-safety-checked, and sequenced on the patient's prior response — so your agent never fabricates health content. Choose a template_id from the signal://catalog resource and pre-satisfy its required audience_tags + patient_context (clinical templates 422 without them). Display mode renders in your app: no PHI, no BAA. Each later cue MUST submit the prior message's feedback — the engine refuses to advance without it (the sequencing moat).

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• search_engines

  reefapi-mcp

  Find the right ReefAPI engine for a task — pass ENGLISH keywords or a short natural-language use-case ("detect a website's tech stack", "company reviews", "check a package for vulnerabilities", "is this domain available"). The catalog is in English: if the end-user asked in another language, translate their INTENT into English keywords first (you are an LLM — do this inline). Ranks engines by how well the query matches each engine's name/title/category/ACTION descriptions (stem-matched, so plurals/word-forms still hit). Empty query = list all. Returns name/title/category/actions + match score. Call this FIRST, then get_engine_schema(engine) to pick an action. This is a fast keyword pre-filter — if the right engine isn't in the results (or you want to be sure), call get_catalog and pick from the full list YOURSELF (you semantically match any language/phrasing better than keywords).

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• realmint_get_price_history

  Realmint

  Time-series price history for an asset. Args: asset_id: Asset identifier days: Lookback in days (1-730, default 30) granularity: Optional explicit bucket — "5m" | "1h" | "1d". Omit to auto-pick (≤2d → 5m, ≤30d → 1h, else 1d). The server cascades to coarser buckets when the requested one is empty for this asset.

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• get_opt_result

  SCModeling

  Get the precomputed result for one scenario of an optimization demo. Returns the verbatim engine output JSON (AMOS for tariff/coffee, SSO output for sso-basic) including the optimal sourcing/production/transport decisions, costs, and any open/close facility variables. ANTI-FABRICATION: every numeric result is verbatim from the optimization engine that ran offline — quote them in your reply, do not round or recompute. Call describe_opt_demo first to learn valid scenario_key formats for each demo.

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• create_scenario_ramp_up

  OctoPerf

  [Runtime] Create a new OctoPerf Scenario with a RAMP-UP load shape: every UserProfile linearly ramps from 0 to `users` virtual users over `rampUpSec`, then stays at `users` for `holdForSec`. `rampUpSec=0` collapses to an instant constant load. Each Virtual User in `virtualUserIds` becomes one UserProfile bound to the same `providerId` and one of the `locations` (round-robin VU[i] -> locations[i % locations.size()]). Engine defaulted from each VU's `type` (JMETER → JmeterUserProfileEngine, WEB_DRIVER → SeleniumUserProfileEngine, PLAYWRIGHT → PlaywrightUserProfileEngine). For richer load shapes use `create_scenario_ramp_up_down` (ramp + plateau + ramp-down) or `create_scenario_stairs` (ascending stairs). Returns the new scenario id and a `url` deep-link.

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• get_catalog

  reefapi-mcp

  The FULL ReefAPI catalog — EVERY engine with its one-line title, grouped by category. This is the whole menu (≈ a few thousand tokens); SCAN IT AND PICK THE BEST ENGINE YOURSELF. You are an LLM, so you match the user's intent semantically — across ANY language, typo, or phrasing — far better than a keyword search can. Use this whenever search_engines didn't surface the right engine (or to be sure you didn't miss a better one). After you pick: get_engine_schema(engine) -> get_action_schema -> call_engine.

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• tm_render_image

  Twinmotion MCP

  Render a still preview image of the model at a specified resolution by pulling the APS Model Derivative thumbnail (capped at 800x800 by the APS endpoint). Also resolves the camera_preset against model metadata to identify which 3D view it maps to, and applies any stored environment config from tm_set_environment for reference. When to use: when you need a quick visual sanity-check of an imported model (e.g. 'show me what Tower A looks like'), to preview a specific named view before committing to a full UE/Twinmotion render, or to embed a low-res preview in a chat/report. Pair with tm_list_scenes first to discover valid view names/GUIDs. When NOT to use: not for production-quality renders (APS thumbnails are low-res and raster-only; for cinematic output use Unreal Engine Movie Render Queue after FBX/USD export), not for arbitrary custom camera angles (only named views from the source file are resolvable — there is no runtime camera placement API here), not for 2D sheet exports (use tm_list_scenes to find 2D roles and fetch directly). APS scopes required: viewables:read data:read. Hits Model Derivative thumbnail + metadata endpoints only. Rate limits: APS default ~50 req/min per app per endpoint. Thumbnail endpoint is usually fast (<2s) once the model has translated; if called while status='inprogress' it returns no thumbnail. Do not loop-poll this tool — poll the manifest via tm_set_environment or tm_list_scenes instead. Errors: 401/403 = token/scope; 404 = URN not found or thumbnail not yet generated (model still translating — retry after manifest reports success); 409 = n/a; 422 = n/a; 429 = back off 30s; 5xx = APS upstream. Side effects: NONE (read-only on APS). Reads KV env_config_<urn>. Writes a row to usage_log. Idempotent.

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• lexq_facts_action_metadata

  LexQ

  Retrieve runtime fact requirements per Action type. For each Action, shows which input facts must be present in the execution payload (e.g. MUTATE_FACT requires its refVar fact; INCREMENT_FACT always requires targetVar, plus refVar when method is PERCENTAGE). A required fact absent at runtime throws — the engine never defaults to 0. Facts are supplied as input or written by a prior action in the same rule; Actions never create a fact from nothing. Static data, safe to cache in-session.

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• play_game

  Vocab Voyage

  Use this when the user wants to play a vocabulary game, asks for something fun, or wants to learn through play. Launches one of 11 mini-games inside the host chat. Renders the matching ui://vocab-voyage/game/{slug} widget on supporting hosts; falls back to a deep link elsewhere. Per-question answers persist via record_word_result; round completion fires record_session_complete + award_game_xp so MCP play counts toward streaks, XP, and mastery for signed-in users. Supported slugs: word_match, spelling_bee, speed_round, synonym_showdown, word_scramble, fill_in_blank, context_clues, word_guess, picture_match, crossword, word_search. Do not use for a serious test-prep quiz — call generate_quiz instead.

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• get_sc_theory

  SCModeling

  Reference guide to supply-chain simulation concepts: ordering policies, BOM, FDD formulas, event-driven simulation. Pure static text — no engine call, deterministic output. Use this when the user asks a conceptual 'how does this work' question rather than asking for a number.

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• explain_discrete_rate_simulation

  DiscreteRate

  Return a textbook-tier explainer of Discrete Rate Simulation: how it differs from DES and CT, the three primitives (Constraint / Buffer / Interrupt), paradigm integration via F2I / I2F. Use this for 'what is DRS?' / 'how is this different from DES?' / 'where does DRS fit in the simulation landscape?' style questions. Deterministic text — no engine call, no RNG.

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• dero_tela_list_apps

  DERO MCP Server

  Composite: list/browse the TELA apps discovered on-chain (each with its dURL, name, SCID, and doc count) — answers "what TELA apps exist?" without any external indexer. Powered by an in-process scan of the newest chain contracts. When to call: when a user wants to explore or search the TELA ecosystem ("what TELA apps are there", "show me TELA games", "is there a TELA app about X"), or to find a SCID when they do not know the exact dURL. For an exact dURL use dero_durl_to_scid; to inspect a specific SCID use tela_inspect. Input Requirements: - `query` is OPTIONAL. Case-insensitive filter matched against dURL and name (e.g. "chess", "vault"). - `limit` is OPTIONAL (default 50, max 200). Output: `{ query, total_matched, returned, truncated, apps:[{ scid, durl, name, install_height, doc_count }], index_meta, narrative, related_docs }`. The first call triggers a ~10s one-time discovery scan (cached afterward). `index_meta` discloses how much of the chain was scanned so the answer's coverage is transparent.

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• compute_stress_test_scenarios

  AINumbers Fintech Intelligence Suite

  Stress Test Engine: OpenChainGraph compute node (risk_parameter). Runs deterministically in-browser; zero PII, zero egress. Exports an AP2 artifact with execution_hash for chain provenance. Consumes upstream artifacts from: qfa-02-portfolio-var-engine. Output feeds: rca-01-frtb-ima-pre-validator, ptg-01-ap2-prompt-template-generator. Open at: https://ainumbers.co/chaingraph/qfa-03-stress-test-engine.html

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• how_to_give_feedback

  life. scored.

  How to suggest a better weight, a fresh source, or a new rule via GitHub, so improvements from many people aggregate in the open.

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• get_engine_schema

  reefapi-mcp

  COMPACT overview of ONE engine: every action with its description, required params and what it returns — but NOT the full param detail (kept lean so a 90-action engine stays token-cheap). Call this after search_engines to pick the right ACTION, then get_action_schema(engine, action) for that action's full params before call_engine.

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• get_cpln_rules

  Control Plane

  Returns the Control Plane operating guide — the resource model, how secrets/images/workloads/domains fit together, production-grade defaults, how to verify a change landed, and how to handle failures. Read it once per session before the first create/update/delete, and any time a multi-resource task spans unfamiliar ground.

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• bgg-details

  kkjdaniel-bgg-mcp

  Get detailed information about board games on BoardGameGeek (BGG) including description, mechanics, categories, player count, playtime, complexity, and ratings. Use this tool to deep dive into games found via other tools (e.g. after getting collection results or search results that only return basic info). Use 'name' for a single game lookup by name, 'id' for a single game lookup by BGG ID, or 'ids' to fetch multiple games at once (up to 20). Only provide one of these parameters.

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• create_funnel

  convalytics

  Create a new funnel on a project. Steps are 2–10 ordered events or pageview paths. conversionWindowMs caps how long a visitor has between consecutive steps (default 7 days); this is the step-to-step limit, without which a funnel is just event co-occurrence. Returns { id } on success.

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• explain_greenfield

  SCModeling

  Reference text on greenfield analysis — clean-slate facility-location math. Covers the weighted center-of-gravity (Weber) formulation, Weiszfeld's iterative algorithm, Lloyd's-style alternating location-allocation for N facilities, service constraints (% demand vs % customers within a distance band), and the inverse problem of solving for minimum N. Also covers when to use greenfield vs facility selection (the open/close MIP). Pure static text — no engine call, deterministic output. Use this when the user asks a conceptual 'how does greenfield analysis work' or 'where would I put my DCs' question. ChiAha's GreenfieldAnalysis engine powers the US Greenfield Design demo on the sandbox.

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• get_engine_versions

  olympus-bets-analytics

  Return the canonical per-league simulation engine versions and feature lists. Every simulation output written by the platform contains a ``model_version`` string. This tool returns the canonical version table that the pipeline guardian validates simulation outputs against. Args: league: Optional league filter (e.g. "NBA"). Omit to return all leagues. Returns: ``{count, engines: [{league, engine, version, key_features, ...}]}``

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