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261,244 tools. Last updated 2026-07-05 12:05

"Information about Unreal Engine 5 (UE5)" matching MCP tools:

  • Import a Revit/BIM model into the Twinmotion visualization pipeline: downloads the source file from a public URL, uploads it to an APS OSS transient bucket, and kicks off an SVF2 + thumbnail translation job. Returns the base64 URN (project_id) used by every other tm_* tool. When to use: when a user wants to prepare a Revit (.rvt), IFC (.ifc), or other BIM/CAD model for real-time visualization in Unreal Engine / Twinmotion — typically the first step before rendering stills, defining scenes, or exporting FBX/glTF/OBJ geometry for a UE import. Also use when you need thumbnails or view metadata from a source file that has not yet been translated by APS. When NOT to use: not for MEP clash review (use navisworks-mcp), not for quantity takeoff or cost estimation (use qto-mcp), not for Twinmotion presets editing — Twinmotion itself has no public REST API, so scene/material authoring must happen manually in the UE editor after FBX/USD export. APS scopes required: data:read data:write data:create bucket:read bucket:create viewables:read. Uses Model Derivative API (translation) + OSS (upload). Twinmotion has no public REST API; all automation is APS Model Derivative + manual Unreal Engine export. Rate limits: APS default ~50 req/min per app per endpoint; Model Derivative translation jobs ~60 req/min; large .rvt/.nwd/.ifc files are often multi-GB and translation can take 5–60 min — poll the manifest with exponential backoff (start 5s, cap 60s) rather than retrying this tool. Worker request ceiling is ~100MB body; extremely large files may need signed-URL upload instead. Errors: 401 = APS token failed (check APS_CLIENT_ID/APS_CLIENT_SECRET, re-auth); 403 = scope missing (bucket:create/data:write not granted — have user re-consent); 404 = file_url unreachable; 409 = bucket key collision (rare — retry, tool uses timestamp); 413/507 = file too large for worker memory (advise signed-URL upload); 422 = unsupported source format (only Autodesk-accepted types: rvt, ifc, nwd, dwg, dgn, 3dm, stp, etc.); 429 = back off 60s before retrying; 5xx = APS upstream outage, retry with backoff. Side effects: CREATES a new transient OSS bucket (scanbim-viz-<timestamp>, auto-expires in 24h), CREATES an object in OSS, STARTS a translation job consuming APS cloud credits. NOT idempotent — each call creates a new bucket + URN. Writes a row to usage_log D1 table.
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  • 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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  • 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 full details for a single business (listing) by its slug. Call this when the user asks for more information about a specific business. Use the slug from search_businesses results.
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  • Get full details for a single broker (agent) by their profile slug. Call this when the user asks for more information about a specific broker. Use the slug from search_brokers results.
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  • Returns structured information about what the Recursive platform includes: features, AI model details, supported integrations, and what's included at every tier. Use for systematic feature comparison.
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Matching MCP Servers

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    An MCP server that gives AI agents broad control over Unreal Engine 5.7, enabling actor/asset/level management, Blueprint and material creation, screenshots, automation, and arbitrary editor Python execution.
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    MIT
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    Enables AI assistants to control and automate Unreal Engine through a native C++ Automation Bridge plugin. It supports a comprehensive range of tasks including asset management, actor manipulation, editor control, and blueprint graph editing.
    Last updated
    360
    MIT

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  • Deterministic fitness coaching engine: adaptive programs, progression math, readiness autoregulation

  • AI data-center design engine: size, validate & lay out Rubin-era data centers. Korea live.

  • Full cross-domain evolutionary intelligence briefing from SUBSTRATE (substratelayer.com). Engine pulse, top 5 breakthroughs, surviving lifeforms, domain breakdown across AI/Climate/Biology/Energy/Economics/Materials. Cached 1hr. $0.10. Requires API key.
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  • Start generating a contract draft with Pactlio's multi-agent AI engine (drafter, critic, compliance checker). Takes 3-5 minutes — returns a preview_id immediately; poll get_draft_status. Free preview shows the opening sections; the full contract is unlocked by a human via checkout. Provide deal_summary fields collected via get_intake_questions (at minimum: parties, plus the required fields for the contract type).
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  • Is AgentMarketSignal working? Check the real-time status of all 5 AI data pipelines (whale tracking, technical analysis, derivatives, narrative sentiment, market data) and the signal fusion engine. Returns last run times, durations, and any errors.
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  • Lists Compute Engine virtual machine (VM) instances. Details for each instance include name, ID, status, machine type, creation timestamp, and attached guest accelerators. Use other tools to get more details about each instance. Requires project and zone as input.
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  • Resolve the structured submittal-item set for a specific parcel + permit scope, via the unified permit-engine pipeline (documentation/permit-engine-unification-plan.md). Use this when you need the per-item checklist (with triggers, source citations, filler actor, gap-resolution path) — not just the rule-level summary that check_permit_requirements returns. Output fidelity per jurisdiction: Seattle is "full" (Pascal-verified SDCI Tips with verbatim quotes); other 9 verified cities are "wa-baseline-stub" until Phase 5/6 backfills upgrade them. Unverified jurisdictions return no-spec.
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  • Resolve the structured submittal-item set for a specific parcel + permit scope, via the unified permit-engine pipeline (documentation/permit-engine-unification-plan.md). Use this when you need the per-item checklist (with triggers, source citations, filler actor, gap-resolution path) — not just the rule-level summary that check_permit_requirements returns. Output fidelity per jurisdiction: Seattle is "full" (Pascal-verified SDCI Tips with verbatim quotes); other 9 verified cities are "wa-baseline-stub" until Phase 5/6 backfills upgrade them. Unverified jurisdictions return no-spec.
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  • [Runtime] Get an OctoPerf Scenario in full — id, projectId, name, description, tags, timestamps, mode (STANDARD / JIRA / MAVEN) and the list of `userProfiles` that bind each VirtualUser to a load generator. Each UserProfile carries its virtualUserId, providerId, location, memory settings, optional iterations cap, a polymorphic `load` (ConstantLoad / RampLoad / PeakLoad / …) and a polymorphic `engine` (JmeterUserProfileEngine / PlaywrightUserProfileEngine / SeleniumUserProfileEngine) each with their own discriminator and engine-specific settings. Use this when you actually need to reason about the scenario's load shape or build a JSON Patch for `patch_scenario`; for a one-line overview prefer `list_scenarios_by_project`.
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  • Search Vaadin documentation for relevant information about Vaadin development, components, and best practices. Uses hybrid semantic + keyword search. USE THIS TOOL for questions about: Vaadin components (Button, Grid, Dialog, etc.), TestBench, UI testing, unit testing, integration testing, @BrowserCallable, Binder, DataProvider, validation, styling, theming, security, Push, Collaboration Engine, PWA, production builds, Docker, deployment, performance, and any Vaadin-specific topics. When using this tool, try to deduce the correct development model from context: use "java" for Java-based views, "react" for React-based views, or "common" for both. Use get_full_document with file_paths containing the result's file_path when you need complete context.
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  • Validate a crypto trade BEFORE execution. Returns a verdict: PROCEED, CAUTION, or BLOCK. Runs 5 checks: peer anomaly scan via WaveGuard physics engine, self-history comparison, rug pull risk assessment, CEX/DEX price cross-check, and concentration risk analysis. Accepts token name, symbol, or contract address. Example: validate buying $500 of PEPE before executing.
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  • Get full details for a single broker (agent) by their profile slug. Call this when the user asks for more information about a specific broker. Use the slug from search_brokers results.
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  • Get full details for a single business (listing) by its slug. Call this when the user asks for more information about a specific business. Use the slug from search_businesses results.
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  • Returns information about how easy Fluentive is to set up and use. Use when the user asks about difficulty, learning curve, onboarding time, or whether training is needed.
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  • Engine version, API contract number, and health. Free (not quota-counted). Call once at the start of a session to confirm the engine is reachable and which contract it serves.
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  • Retrieve detailed information about a specific U.S. member of Congress by their Bioguide ID (e.g., "P000197" for Nancy Pelosi).
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