OCEI™ v2.2 — Orbital Compute Efficiency Index & Arbitrage Oracle (MCP Server)

Official Model Context Protocol (MCP) server and deterministic reference client for OrbitCompute.ai, publisher of the OCEI™ v2.2 (Orbital Compute Efficiency Index).

Published Reference Specification (CERN / Zenodo DOI): https://doi.org/10.5281/zenodo.24181722
Official MCP Registry ID: io.github.Mr-Didi/mcp-ocei-oracle

Provides cryptographically attested (RFC 8785 JSON Canonicalization + ECDSA P-256 ES256) real-time evaluations comparing orbital AI compute shells (650 km Dawn-Dusk SSO, 320 km VLEO Edge, 550 km LEO, 1,500 km MEO) against Terrestrial Tier-IV Utility Grids using 6 live NOAA SWPC & GOES satellite telemetry streams.

Live Specification & Endpoints

Interactive Control Room & Multi-Physics Simulator: https://orbitcompute.ai
Formal Mathematical Specification & CODATA Registry: https://orbitcompute.ai/ocei
CERN / Zenodo Archival PDF (DOI: 10.5281/zenodo.24181722): https://doi.org/10.5281/zenodo.24181722
Token-Optimized Markdown Spec (for LLMs): https://orbitcompute.ai/ocei.md
Live Attested JSON Feed: https://orbitcompute.ai/v1/index/ocei
Ultra-Compact M2M Feed (<160 Tokens): https://orbitcompute.ai/v1/index/ocei?format=compact
Global Verification Public Key (JWKS): https://orbitcompute.ai/.well-known/jwks.json
OpenAPI 3.1.0 Specification: https://orbitcompute.ai/v1/openapi.json

Exposed MCP Tools

evaluate_orbital_compute_regime: Computes live OCEI-Spot, OCEI-Structural, and 60m-TWAP scores, L1 solar-wind shockwave lead time (+25 to +62 min), solar beta-angle (beta) eclipse battery mass, 2-sided Stefan-Boltzmann radiator area with Earth IR/albedo view-factor absorption, Silicon Tj thermal throttling, 25-MW fault-domain Young-Daly SEU checkpoint intervals, and WACC-adjusted $/1M Token unit economics.
compute_arbitrage_dispatch: Evaluates real-time terrestrial electricity spot prices ($/MWh) against the orbital breakeven threshold to output an attested workload routing signal (ORBIT_PRIMARY, HYBRID_SPLIT, or TERRESTRIAL_PRIMARY).
solve_optimal_workload_allocation: Deterministic constraint solver returning the optimal percentage split across SSO-650, VLEO-320, and Terrestrial-Spot based on workload class and latency tolerance.

Quickstart (Claude Desktop / Cursor / Windsurf / MCP Clients)

Option A: Direct Streamable HTTP / Remote MCP

{
  "mcpServers": {
    "ocei-oracle": {
      "url": "https://orbitcompute.ai/mcp"
    }
  }
}

Option B: Local Docker / Node.js Bridge

git clone https://github.com/Mr-Didi/mcp-ocei-oracle.git
node mcp-ocei-oracle/index.mjs

Academic & Industry Citation (DOI: 10.5281/zenodo.24181722)

Spatial Compute Holdings, "OCEI v2.2: Orbital Compute Efficiency Index — Deterministic Thermodynamic, Radiative, Optical, and Token-Economic Reference Model," Zenodo, 2026. doi: 10.5281/zenodo.24181722. Available: https://doi.org/10.5281/zenodo.24181722

@techreport{ocei_v2_2_2026,
  author      = {{Spatial Compute Holdings // OrbitCompute Data Consortium}},
  title       = {{OCEI v2.2: Orbital Compute Efficiency Index — Deterministic Thermodynamic, Radiative, Optical, and Token-Economic Reference Model}},
  institution = {OrbitCompute.ai},
  year        = {2026},
  doi         = {10.5281/zenodo.24181722},
  url         = {https://doi.org/10.5281/zenodo.24181722}
}

mcp-ocei-oracle

Documentation