Open, validated, reproducible PNT-resilience simulator spanning the full positioning, navigation & timing stack — orbit, clocks, INS, GNSS, integrity, resilience, lunar/cislunar & deep-space nav — plus quantum-vs-classical models. Runs as a Rust lib/CLI, Python, in-browser (WASM), an MCP server / Claude Code plugin, and a JetBrains plugin.
- ✓Open-source license (AGPL-3.0)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
git clone https://github.com/ashfordeOU/kshana{
"mcpServers": {
"kshana": {
"command": "kshana"
}
}
}Resumen de MCP Servers
<p align="center"> <img src="docs/assets/kshana-mark.svg" alt="Kshana mark — a compass reticle marking the precise instant" width="96" height="96"> </p> <p align="center"> <img src="docs/assets/kshana-wordmark.png" alt="Kshana" width="300"> </p> <p align="center"> <strong>क्षण</strong> — Sanskrit for <em>the precise instant</em>, the smallest measure of time.<br> Open, reproducible PNT-resilience simulation with published quantum-sensor performance models. </p> <p align="center"> <a href="https://kshana.dev"><img src="https://img.shields.io/badge/playground-try%20in%20browser-c79e63" alt="Live playground — run in your browser, no install"></a> <a href="tests/sgp4_verification.rs"><img src="https://img.shields.io/badge/SGP4-666%2F666%20AIAA%20vectors%20%C2%B7%204.12mm-3fb950" alt="SGP4 validated against all 666 AIAA 2006-6753 vectors, worst 4.12 mm"></a> <a href="#validation-at-a-glance"><img src="https://img.shields.io/badge/validated-56%20external%20oracles-3fb950" alt="56 capabilities validated against independent external oracles (real data, independent libraries, or published reference vectors); 42 more are honestly labelled MODELLED and 4 are PARTNER-owned — see Validation at a glance"></a> <a href="https://github.com/ashfordeOU/kshana/actions/workflows/ci.yml"><img src="https://img.shields.io/badge/coverage-~96%25%20line-3fb950" alt="~96% line coverage on src/ (cargo-tarpaulin LLVM engine), gated at 85% in CI"></a> <a href="https://github.com/ashfordeOU/kshana/actions/workflows/ci.yml"><img src="https://github.com/ashfordeOU/kshana/actions/workflows/ci.yml/badge.svg" alt="CI"></a> <a href="https://sonarcloud.io/summary/overall?id=ashfordeOU_kshana"><img src="https://sonarcloud.io/api/project_badges/measure?project=ashfordeOU_kshana&metric=alert_status" alt="SonarQube Cloud Quality Gate status"></a> <a href="https://sonarcloud.io/summary/overall?id=ashfordeOU_kshana"><img src="https://sonarcloud.io/api/project_badges/measure?project=ashfordeOU_kshana&metric=security_rating" alt="SonarQube Cloud Security Rating"></a> <a href="https://sonarcloud.io/summary/overall?id=ashfordeOU_kshana"><img src="https://sonarcloud.io/api/project_badges/measure?project=ashfordeOU_kshana&metric=sqale_rating" alt="SonarQube Cloud Maintainability Rating"></a> <a href="https://sonarcloud.io/summary/overall?id=ashfordeOU_kshana"><img src="https://sonarcloud.io/api/project_badges/measure?project=ashfordeOU_kshana&metric=reliability_rating" alt="SonarQube Cloud Reliability Rating"></a> <a href="https://github.com/ashfordeOU/kshana/releases"><img src="https://img.shields.io/badge/release-v0.26.0-c79e63" alt="Release v0.26.0"></a> <a href="https://plugins.jetbrains.com/plugin/32181-kshana--pnt-simulator"><img src="https://img.shields.io/badge/JetBrains-Marketplace-c79e63" alt="Kshana on the JetBrains Marketplace"></a> <a href="https://glama.ai/mcp/servers/ashfordeOU/kshana"><img src="https://glama.ai/mcp/servers/ashfordeOU/kshana/badges/score.svg" alt="kshana-mcp on Glama — MCP server quality score"></a> <a href="LICENSE"><img src="https://img.shields.io/badge/License-AGPL_v3-blue.svg" alt="License: AGPL-3.0-only"></a> <a href="LICENSING.md"><img src="https://img.shields.io/badge/commercial_licence-available-2ea043" alt="Commercial licence available from Ashforde OÜ"></a> <a href="Cargo.toml"><img src="https://img.shields.io/badge/rust-1.75%2B-orange.svg" alt="Rust 1.75+"></a> <a href="https://doi.org/10.5281/zenodo.20528627"><img src="https://img.shields.io/badge/DOI-10.5281%2Fzenodo.20528627-blue.svg" alt="DOI 10.5281/zenodo.20528627"></a> </p> <p align="center"> <strong>Kshana</strong> (क्षण, Sanskrit: <em>"the precise instant"</em>) is an open, reproducible <strong>PNT-resilience simulator with quantum-sensor performance models</strong> — positioning, navigation, and timing. It compares quantum and classical sensors mostly from published Allan/noise-budget coefficients, with a first-principles cold-atom- interferometer accelerometer layer (Mach–Zehnder phase, quantum projection noise, contrast decay, and vibration coupling) that <em>derives</em> the noise coefficient rather than looking it up; it is not yet a full quantum-physics simulator (Coriolis and light-shift systematics remain coefficient-level — see <a href="docs/QUANTUM.md">docs/QUANTUM.md</a> and <a href="docs/QUANTUM-MODELS.md">docs/QUANTUM-MODELS.md</a>). </p> It quantifies, in hard and reproducible numbers, what quantum clocks, quantum inertial sensors, and optical time-transfer buy a navigation system over classical PNT — scored against the operational figures of merit that matter for resilient navigation. Every result is reproducible from `scenario + seed + engine version`, and every sensor parameter is traceable to a published source — consolidated in one citable table in [`docs/PROVENANCE.md`](docs/PROVENANCE.md). <p align="center"><em><strong>Validated, not asserted.</strong> 666/666 AIAA SGP4 vectors to <strong>4.12 mm</strong> · Cowell force model <strong>0.08 m</strong> vs Orekit 12.2 · Galileo <strong>0.61 m</strong> / Swarm-A <strong>0.10 m</strong> vs real ESA precise ephemerides · GCRS→ITRS bit-for-bit vs SOFA/ERFA · ML metrics exact vs scikit-learn · <strong>56 of 102</strong> capabilities validated against independent external oracles; 42 honestly labelled Modelled.</em></p> <p align="center"> <img src="docs/assets/diagrams/system-overview.png" alt="Kshana system overview: five front doors (CLI, Python wheel, WebAssembly playground, MCP server, JetBrains plugin) converge on a single api::run_toml dispatch over 50 scenario kinds, through the engine (shared core, sensor packs and astrodynamics, integrity/fusion/lunar/deep-space/resilience), to a reproducible result.json + chart.svg" width="840"> <br><sub>One engine, five front doors · <a href="docs/assets/diagrams/system-overview.svg">SVG</a></sub> </p> ### Validated against external oracles — every row CI-gated Each row is checked against an **independent external oracle** (real dataset, independent reference implementation, or published reference vectors) and re-checked in CI. [Full 102-row matrix →](#validation-at-a-glance) | | Capability | Result | External oracle | |---|---|---|---| | ✅ | SGP4/SDP4 propagation | 666/666 vectors, worst **4.12 mm** | AIAA 2006-6753 (Vallado) + independent `sgp4` crate | | ✅ | Numerical Cowell force model | **0.08 m** / 24 h, 275 epochs | Orekit 12.2 `DormandPrince853` (CS GROUP) | | ✅ | Orbit fit vs precise ephemeris | Galileo **0.61 m** · Swarm-A **0.10 m** | ESA/ESOC SP3 precise orbits | | ✅ | GCRS→ITRS frame chain | bit-for-bit vs SOFA; ≤ 0.86 m vs SPICE | ERFA/SOFA + ANISE (pure-Rust SPICE) | | ✅ | Allan deviations | reproduce reference deviations | NIST SP 1065 + Stable32 on a real Cs clock | | ✅ | GNSS DOP · ML detector metrics | to **1e-6** · to **1e-9** | gnss_lib_py · scikit-learn | | ✅ | Fisher information · CRLB · observability | eigh / CRLB / DOP to **1e-9** | NumPy 2.4.1 (LAPACK) + Kay (1993) closed forms | <p align="center"> <img src="docs/assets/figures/validation-breakdown.png" alt="Verification status across all 102 capabilities: 56 Validated (checked vs external oracle), 42 Modelled, 4 Partner-owned" width="780"> <br><sub>56 Validated · 42 Modelled · 4 Partner — <a href="docs/assets/figures/validation-breakdown.svg">SVG</a></sub> </p> *Free and open source under the GNU AGPL-3.0 — with a commercial licence available from Ashforde OÜ for proprietary/closed integration (see [`LICENSING.md`](LICENSING.md)). Professionally developed and maintained by [Ashforde OÜ](https://ashforde.org); commercial support, integration, and proprietary extensions available.* > **Status: v0.26.0 · a validated, reproducible simulation substrate for PNT resilience.** > A fully reproducible engine spanning the PNT stack — orbit geometry and constellation > design, a numerical (Cowell) propagator with a seven-perturbation force model, maneuver > and trajectory design, time systems, inertial navigation (incl. map-aided and > gravity-map-matching alt-PNT), GNSS/INS fusion (loose, tight, UKF, coupled > clock+position, 17-state), orbit determination, ARAIM integrity, clocks, advanced > time-and-frequency transfer, the GNSS measurement domain, resilience (jamming + > multi-layer spoofing), and an open **deep-space / Mars radiometric navigation** > engine (light-time + Shapiro, CCSDS-TDM, reduced-dynamic SRIF, one-/two-way fusion); > plus first-order **mission-analysis** budgets (launch / re-entry / EO-coverage / pointing / > ground-station passes / link), a **space-weather** environment model, an **AI/ML > RF-impairment** evaluation testbed, and the versioned **Kshana Interchange Format (KIF)**. > Honest by design: every figure of merit is labelled *validated* or *modelled*, and > optical-clock figures are space goals on ground hardware (no strontium optical clock has flown). > > **Validation ladder** (maturity is *not* uniform across domains — and saying so is the point): > | Domain | Tier | > |---|---| > | Earth PNT (orbit, frames, time, clocks, IMU, integrity) | **Real-data validated** — ESA SP3 (Galileo 0.13 m / 8 h · 0.61 m / 24 h, Swarm-A 0.10 m), NIST SP1065, SOFA/ERFA, heritage vectors | > | Deep-space / Mars navigation | **Simulation-validated** — synthetic closed-loop OD + analytic self-consistency; Sun-central dynamics cross-checked vs JPL **DE440** (137 m @ 1-day arc) | > | Real-mission deep-space OD | **Roadmap** — pending real DSN/ESTRACK tracking-data validation | > > Deep-space figures (Mars-LMO OD ≈ 0.2 m; relay-PNT orbiter 0.4 m / rover 5.1 m) are **simulation / covariance figures of merit**, not real-mission results. > See **[Capabilities](#capabilities)** for what it does, **[What it is / is not](#what-it-is--is-not)** > for scope, and [`docs/CAPABILITY.md`](docs/CAPABILITY.md) / [`docs/VALIDATION.md`](docs/VALIDATION.md) > for per-capability maturity.
Lo que la gente pregunta sobre kshana
¿Qué es ashfordeOU/kshana?
+
ashfordeOU/kshana es mcp servers para el ecosistema de Claude AI. Open, validated, reproducible PNT-resilience simulator spanning the full positioning, navigation & timing stack — orbit, clocks, INS, GNSS, integrity, resilience, lunar/cislunar & deep-space nav — plus quantum-vs-classical models. Runs as a Rust lib/CLI, Python, in-browser (WASM), an MCP server / Claude Code plugin, and a JetBrains plugin. Tiene 6 estrellas en GitHub y su última actualización registrada es del 2026-09-18.
¿Cómo se instala kshana?
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Puedes instalar kshana clonando el repositorio (https://github.com/ashfordeOU/kshana) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar ashfordeOU/kshana?
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Nuestro agente de seguridad ha analizado ashfordeOU/kshana y le ha asignado un Trust Score de 95/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene ashfordeOU/kshana?
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ashfordeOU/kshana es mantenido por ashfordeOU. La última actividad registrada en GitHub es del 2026-09-18, con 0 issues abiertos.
¿Hay alternativas a kshana?
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Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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