"Unreal Engine" matching MCP servers:

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

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.

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

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

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

Enables clients to search, read, and verify sealed forecasts and public-record cards, inspect resolution calendars, engine strands, sensor alerts, and wire headlines, and check whether stories are independent events or echoes. All access is read-only and requires no key, account, or dependencies.

Exposes materials-science data, simulations, workflows, and computing capabilities to MCP hosts through a plugin-agnostic, contract-governed engine with progressive capability discovery, bounded context, scoped permissions, and provenance-traceable artifacts. Concrete integrations such as a real OPTIMADE provider plugin stay separately packaged, so servers remain focused and evidence-backed rather than unrestricted.