Kshana PNT-resilience simulator

Name: Kshana PNT-resilience simulator
Author: ashfordeOU

作者：ashfordeOU版本 0.39.0i★ –i在你的电脑上运行

注册名称io.github.ashfordeOU/kshana-mcp

安装

概览

作者提供的说明（英文原文）

Validated Kshana PNT simulator: orbits, GNSS, fusion, receiver trust, interference maps.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i起步阶段↓ 459/周 · ★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 旅行、地图与天气

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
需要你自己填写： KSHANA_MCP_IQ_DIR, KSHANA_MCP_IQ_MAX_SAMPLES

你需要

npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "kshana": {
      "command": "npx",
      "args": [
        "-y",
        "kshana-mcp"
      ],
      "env": {
        "KSHANA_MCP_IQ_DIR": "your-value",
        "KSHANA_MCP_IQ_MAX_SAMPLES": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add kshana --env KSHANA_MCP_IQ_DIR=your-value --env KSHANA_MCP_IQ_MAX_SAMPLES=your-value -- npx -y kshana-mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "kshana": {
      "command": "npx",
      "args": [
        "-y",
        "kshana-mcp"
      ],
      "env": {
        "KSHANA_MCP_IQ_DIR": "your-value",
        "KSHANA_MCP_IQ_MAX_SAMPLES": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "kshana": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "kshana-mcp"
      ],
      "env": {
        "KSHANA_MCP_IQ_DIR": "your-value",
        "KSHANA_MCP_IQ_MAX_SAMPLES": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

KSHANA_MCP_IQ_DIR env
Folder the GNSS IQ tools (iq_scene, iq_acquire, iq_track, iq_frontend, iq_info, iq_campaign, iq_campaign_status) may read and write; every IQ path argument is relative to it. Unset leaves the IQ file…
KSHANA_MCP_IQ_MAX_SAMPLES env
Most complex samples one IQ call may generate or process (default 50000000).

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 ashfordeOU 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“旅行、地图与天气”中的其他服务器比较i

星标数多于此分类中其他 1749 个服务器的 0%
发布到注册中心的时间比此分类中其他 1749 个服务器的 65% 更新
基础检查结果等于或优于此分类中其他 1749 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Kshana PNT-resilience simulator 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.39.0）于17天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker, Node.js, Python (uv)。

有什么可以替代它？

同一分类中有：Gogcli MCP Maps, TabTree, Safe Bite

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：↓ 每周下载量i★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Gogcli MCP Maps

Google Places + trip maps via gogcli for Claude — places through gog maps, pins, shortlists, My Maps

作者：chrischall非常新今天更新

在你的电脑上运行

安装

TabTree

Build mind maps, kanban boards and whiteboards in your TabTree account, team spaces included.

作者：ai4xedu正在增长↓ 1404/周今天更新

电脑或云端✓ tabtree.app

安装

Safe Bite

Restaurant inspections for Chicago, NYC, Minneapolis, Milwaukee, Austin, and Denver.

作者：AndrewVG23起步阶段今天更新

在云端运行

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

kshana-mcp: ask your AI assistant, and the engine answers

kshana-mcp is a Model Context Protocol (MCP) server for Kshana, the open-source simulator for PNT (positioning, navigation and timing) resilience. It lets an AI (artificial intelligence) assistant run the real engine and read back its JSON (JavaScript Object Notation), instead of guessing the maths. It speaks over stdio (standard input and output) to any MCP-compatible client, including Cursor and JetBrains AI Assistant / Junie.

The maths Kshana is validated for is exactly where a language model guesses badly: SGP4 (Simplified General Perturbations 4) orbit propagation, reference frames of the IAU (International Astronomical Union), Allan deviations, GNSS (Global Navigation Satellite System) availability and DOP (dilution of precision), ARAIM (advanced receiver autonomous integrity monitoring) protection levels, GNSS and INS (inertial navigation system) fusion, and quantum-sensor models. Ask a question; the assistant runs a real scenario and gets figures of merit with their provenance and their VALIDATED or MODELLED label.

Tools

Tool	What it does
`run_scenario`	Run a scenario from a TOML (Tom's Obvious, Minimal Language) definition; returns the summary + full result JSON (JavaScript Object Notation: figures of merit, curves). Optional `include_chart` returns the chart as SVG (Scalable Vector Graphics).
`list_scenario_kinds`	The 92 built-in scenario kinds with descriptions + required/optional fields — so the agent can construct a valid scenario.
`validate_scenario`	Pre-flight check: parse the TOML and detect its kind, without running.
`list_example_scenarios`	The bundled reference scenarios as JSON: each `name`, its `kind` and one sentence on what it shows. Optional `kind` filter. Every example runs as it stands, so this is the quickest way to a valid TOML for a kind.
`get_example_scenario`	The TOML text of one bundled reference scenario, byte for byte the file under `scenarios/`.
`report_scenario`	Run a scenario and return its report: executive summary, inputs, every figure with its unit and its VALIDATED or MODELLED label, events, the capabilities exercised and a reproducibility record. `format` is `json` (default) or `html` (the printable single-file page).
`animate_scenario`	Run a scenario and return its time series as an animation: `svg` (default), `html` (a self-contained player) or `frames` (at most 120 in a reply). The first content item is a JSON summary of what was drawn; the files follow. A kind with no sampled time axis is refused with the reason.
`list_export_formats`	Which interoperability formats apply to a scenario (`czml`, `kml`, `geojson`, `stk`, `sigmf`), the reason when one does not, and the specification each writer follows. Does not run the scenario.
`export_interop`	Export a scenario as CZML (Cesium Language), KML (Keyhole Markup Language), GeoJSON, STK (Systems Tool Kit) ephemeris `.e`, or SigMF (Signal Metadata Format, for a `spectrum` scenario with an `[iq]` block). The first content item is a JSON index of the files (suffix, size, encoding, and the SHA-256 digest, the 256-bit Secure Hash Algorithm); the files follow, the binary SigMF sample file as base64.
`import_route`	Write a GeoJSON `LineString` route into a scenario that flies a waypoint track (`terrain-nav`, `terrain-slam`, `gravity-map`, `combined-altpnt`) and return the new TOML.
`export_sp3`	Export an `orbit` scenario's constellation as SP3-c (Standard Product 3, revision c) precise ephemeris.
`export_omm`	Export an `orbit` scenario's elements as a CCSDS (Consultative Committee for Space Data Systems) 502.0-B-2 OMM (Orbit Mean-elements Message) catalogue.
`export_oem`	Export an `orbit` scenario's state series as CCSDS OEM (Orbit Ephemeris Message) 2.0 ephemeris — the TEME (true equator, mean equinox) position and velocity series flight-dynamics tools (GMAT, the General Mission Analysis Tool; Orekit; STK, the Systems Tool Kit) read; the velocity-carrying complement of the position-only `export_sp3`.
`export_table_csv`	Run a scenario and return its reproducibility table as CSV (comma-separated values) — the byte-stable table the CLI (command-line interface) writes as `.table.csv`. Only `realtime-frame-eop`, `lunar-time-budget`, `lunar-jamming`, `telecom-timing`, `leo-navmsg` (its `encode-decode` analysis on a `kepler16` or `kepler-rac` message model) and `moonlight-service-volume` with `export_site_lat_deg` + `export_site_lon_deg` set emit one; any other kind returns an error naming these.
`sky_geometry`	Sky geometry under an azimuth-dependent skyline: from a site, a time and constellation presets, two-line element sets (`tle`, propagated by SGP4 to a UTC `epoch`) or satellites as azimuth/elevation or ECEF, the satellites visible and those hidden by the skyline, GDOP/PDOP/HDOP/VDOP/TDOP from the gnss_lib_py-checked DOP kernel, the east-north-up cofactor and covariance (one clock per system or one in common) and the horizontal error ellipse; with `skyline_preset` instead of `request`, a REPRESENTATIVE preset with its provenance and its cut every degree. MODELLED; carries the advisory; no Monte Carlo over MCP. See `docs/SKYLINE.md`.
`assess_receiver_log`	Assess a real GNSS (global navigation satellite system) receiver log for trust. The TOML names the log's `format` (`ubx`, `rinex`, `android`, `nmea` or `sbf`) and gives its bytes inline as `text` or `base64`; the tool runs the trust monitors (carrier-to-noise density drop, loss of lock, AGC (automatic gain control), jamming indicator, position jump and, with RINEX plus broadcast navigation, RAIM (receiver autonomous integrity monitoring) and a clock-aided monitor) and returns when and why the fix stopped being trustworthy. Optional `[[events]]` and `[compare]` sections score stated events and predicted C/N0 drops against stated tolerances. A `[platform] kind = "vessel"` table selects the maritime monitors and adds a 0-100 trust score per epoch with the monitors that deducted (advisory; MODELLED). The log goes inline as `text` or `base64` (at most 4 MiB). Chart and per-epoch CSV on request. See `docs/RECEIVER-TRUST.md`.
`assess_vessel_stream`	Score a bounded NMEA 0183 excerpt (at most 2 MiB and 20,000 epochs; it must hold the calibration window) the way `kshana receiver-trust live` scores it: per-epoch trust state and 0-100 score with the monitors that deducted, a summary and the last `$PKSHT`. The bounded form of the live command: no socket is opened and nothing is written to a port; the gate, `--listen` and the telemetry exporters (Prometheus, OTLP, syslog) are command-line only. Advisory only; MODELLED. See `docs/MARITIME-TRUST.md`.
`assess_vessel_log`	A vessel's NMEA 0183 log (at most 4 MiB) as a batch run, with the session TOML stating the vessel's limits: the score model and every epoch's 0-100 score with its deductions (the reply keeps counts by state and the first 200 degraded or untrusted epochs). Advisory only; MODELLED.
`jammertest_import`	Read the published Jammertest test catalogue and transmission plan (NPRA/jammertest-plan, MIT) as scheduled truth (`kshana jammertest import`): one test area's slots become receiver-trust events with the catalogue id and year in each label. Planned slots, not recorded on-air times; no contact field of the plan is read. MODELLED. See `docs/JAMMERTEST.md`.
`jammertest_score`	Score a receiver log against that schedule (`kshana jammertest score`): per test the detection latency, missed alarms and time to recover, and the false alarms outside every slot. Text logs as `log`, binary (`ubx`, `sbf`) as `log_base64`. A signed pack needs a key: command line. Advisory only; MODELLED.
`referee_location_score`	Score where a monitoring network said interference came from (`kshana jammertest locate-score`, row B2): per report the attributed event, the geodesic error and region containment and size; per event and pooled, error percentiles, coverage per level, time to first location and time to locate; false locations per hour. Checks arithmetic, not any locator's accuracy.
`create_evidence_pack`	A signed evidence pack for a window of a vessel's log (`kshana receiver-trust evidence`): the raw log bytes for the window, configuration, per-epoch results and reasons, a summary page, and a manifest with every SHA-256 and a hash chain, signed with Ed25519. The signing seed is never returned or logged; without one a one-time key is used, so the pack proves integrity, not identity. A technical record, not a legal opinion. See `docs/EVIDENCE-PACKS.md`.
`attach_evidence_timestamp`	Bind an RFC 3161 timestamp token (base64 of the `.tsr` bytes) to a pack, in memory (`kshana evidence attach-timestamp`); the pack with the token must still verify. The timestamp authority's signature is not checked: use `openssl ts -verify`.
`verify_evidence_pack`	Verify a pack (`kshana evidence verify`): every hash, the chain, the signature, and with the signer's public key and the full log, who signed it and that the slice came from that log. Names every failure and file. The `verdict` is `verified` (signer pinned), `intact-signer-not-pinned` (everything checks but no public key was given, so the signer is not established) or `failed`; `require_timestamp` fails a pack with no timestamp token.
`generate_training_nmea`	Synthetic bridge NMEA 0183 for crew training from a `nmea-scenario` TOML (jamming, position drag-off, time spoof, replay delay) with the instructor log (`kshana-nmea-training/1`); deterministic per seed. Text only: nothing is synthesised at RF or IQ and nothing is transmitted; never for a vessel's live navigation systems. The reply carries the first 2000 lines.
`build_interference_map`	A GNSS interference map from ADS-B or AIS position reports as CSV text (at most 4 MiB): one `kshana-interference-map/v1` GeoJSON per UTC day, aggregate only (no identifiers, cells under 5 distinct aircraft or vessels withheld), with the dataset licence embedded. A degraded cell does not identify interference as the cause; not a forecast. MODELLED. See `docs/INTERFERENCE-MAP.md`.

| interference_emitter_regions | Estimated emitter regions from ADS-B or AIS reports as CSV text (at most 4 MiB): regions at stated confidence levels with a centroid and an uncertainty ellipse, never a bare point; aggregate only. A region is not the position of anyone and not a finding of the cause. MODELLED. See [`docs/INTERFEREN

只显示了开头部分；其余内容请在仓库中阅读