"Blender Scene Generation and Importing into Unreal Engine" matching MCP servers:

Pro Se Engine is an MCP server that provides 39 legal research tools across 6 government APIs, enabling AI agents to access case law, SEC filings, federal legislation, regulations, government contracts, and document processing workflows.

Provides access to the Reuters Business and Financial News API to retrieve articles, trending news, and market data. It enables searching and filtering financial content by date, author, category, and keywords.

MCP server for answering questions about official statistics from a single publication URL, with tools to check query scope, retrieve overview, text, data files, and search.

High-speed Scientific Literature Semantic Compiler & FastMCP Server Powered by arXiv, OpenAlex, DuckDB HTTP range queries, and TypeSafe Jev System One.

One-call Australian health and welfare data plumbing via AIHW — cited responses for practical analysis, not a data broker.

Enables querying of Hong Kong government data on elderly community care services, such as waiting times and applicant counts.

Enables spatial analysis of large remote GeoParquet files directly from object storage without downloading or importing data, using DuckDB's predicate and projection pushdown to answer queries efficiently.

Finds the clearest Sentinel-2, Landsat, Sentinel-1, or NAIP scene for any location and time, ranked by area coverage, cloud cover, and date, with previews and band download links.

Enables AI agents to query public Latin American FX rates and perform auditable ledger reconciliation using a multi-rule matching engine.

Enables LLMs and agents to query Dota 2 matches, players, heroes, teams, and pro scene data through the OpenDota API, with numeric IDs resolved to localized names and readable labels.

Enables retrieval of satellite vegetation statistics (NDVI) and searches of Sentinel-2 scene catalogs, returning results as JSON.

Enables users to query the UK National Grid's carbon intensity data, providing real-time and forecasted carbon emissions for electricity generation.

Provides real-time grid carbon intensity, power generation breakdown, and carbon-intensity forecasts for any zone or lat/lon location.

MCP server for querying ENTSO-E Transparency Platform data including actual load, generation per type, cross-border flows, and installed capacity.

Enables querying Georgia's national electricity system live grid telemetry and regulator statistics, including generation, consumption, cross-border flows, frequency, demand forecasts, tenders, and station-level monthly generation and price data.

Enables querying European electricity generation, prices, and capacity data from Fraunhofer ISE's Energy-Charts platform.

An MCP server that turns Project PLATEAU's 3D city data into scene-editing and glTF export tools for creative LLM agents.

Detects, monitors, and analyzes potential wildfires globally using NASA FIRMS, OpenWeatherMap, and Google Earth Engine data.

Enables solar energy potential assessment by converting parcel centroid and acreage into annual/monthly generation estimates using the NREL PVWatts v8 API, suitable for revenue modeling and infographic headlines.

Enables downloading satellite imagery from Google Earth Engine as GeoTIFF files, supporting various datasets, bands, and region specification through natural language.