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Hydrata - ANUGA Flood Simulation

作者:Hydrata版本 0.2.2i★ –i在云端运行
注册名称com.hydrata/hydrata-mcp-server

安装

概览

作者提供的说明(英文原文)

Run ANUGA flood simulations, track progress, and retrieve results on Hydrata Cloud.

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。

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。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

你用的是哪个应用?

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 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://hydrata.com/mcp/

在终端中运行这条命令

claude mcp add --transport http hydrata https://hydrata.com/mcp/

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": {
    "hydrata": {
      "url": "https://hydrata.com/mcp/"
    }
  }
}

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": {
    "hydrata": {
      "type": "http",
      "url": "https://hydrata.com/mcp/"
    }
  }
}

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。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://hydrata.com/mcp/

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

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

服务器要求先登录,才会列出它的工具。

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 hydrata.com 验证(注册中心会核实域名所有权)

  • … 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

  • ✓ 通过

    端点有响应

    在 187 毫秒内响应(HTTP 401)

  • ✓ 通过

    使用 OAuth 登录

    声明支持 OAuth 登录,你的 AI 应用可以带你去登录

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32564 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32564 个服务器的 91% 更新
  • 基础检查结果等于或优于此分类中其他 32564 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

Hydrata - ANUGA Flood Simulation 安全吗?

它在 3 项适用的基础检查中通过了 3 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?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.2.2)于3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。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Tools MCP

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:★ 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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
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Tools MCP

作者:First-CH

Web production tools for AI agents: contrast, JP text, WebP, JSON-LD, slugs, dates and 40+ more

在你的电脑上运行今天更新
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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。

hydrata-mcp-server

MCP server for Hydrata Cloud — build ANUGA flood models from terrain and input layers, run simulations, track progress, and retrieve results through the Model Context Protocol.

Connect and authenticate

Endpoint: https://hydrata.com/mcp/ — Transport: Streamable HTTP.

Every tool call needs the caller's own hydrata.com credential: an agent key (Authorization: Bearer hk_…), a named, revocable grant at one of three levels (read < draft < launch) that the account owner creates — and can revoke, one at a time or all at once — on the site's Agent keys page (/agents/). The server holds no identity and no key store of its own: it checks only the shape of the credential (an hk_ prefix, or with the connect flow configured a JWT-shaped token) and forwards the one accepted Authorization header unchanged to the Hydrata REST API, where Django verifies it on every tool call (for a connect-flow token: signature, issuer, audience, expiry and the live grant; for an agent key: the stored hash and the live grant) — so results are scoped by the real user's project permissions and the key's level, and the audit trail names them. Every JSON-RPC request — initialize, tools/list and ping as well as tools/call — that does not carry exactly one accepted credential (an agent key, or with the one-click connect flow configured its access token) is answered with 401, a JSON-RPC error -32001 and WWW-Authenticate: Bearer realm="hydrata.com" (plus resource_metadata="…" when the connect flow is configured) before it reaches the MCP SDK: no Authorization header, HTTP Basic, or any other Bearer token such as a GeoNode OAuth token. Agent keys and connect-flow tokens both map to an agent grant, so both are subject to the grant's level, the account's pause switch, the spend limit and the agent activity log. The 401 on the first request is what tells an OAuth-aware client such as claude.ai that the server needs sign-in (TASK-3987), so the tool catalog is not served to a request without a credential of an accepted shape; for initialize, tools/list and ping that credential is checked for shape only, not verified. The one exception (TASK-4177): MCP catalog crawlers whose User-Agent matches an allowlist (HYDRATA_MCP_DISCOVERY_USER_AGENTS, default mcptry.com indexer,SmitheryBot) may run initialize, ping and tools/list with no Authorization header, so catalogs can show the tools; tools/call always needs a credential, and real clients never match, so they still get the 401 and the sign-in default. Each claim about this server's security behaviour is cited to code or a test in docs/security-model.md; to report a vulnerability see SECURITY.md. A body that is not JSON-RPC is left to the SDK's own error, and a GET on the endpoint is answered 405. A static MCP Server Card (SEP-2127), built from server.json, is served without credentials at GET https://hydrata.com/mcp/server-card. The catalog icon, a 512×512 PNG of the Hydrata mark, is served the same way at GET https://hydrata.com/mcp/icon.png and listed in server.json and serverInfo.icons.

Anyone with a hydrata.com account can connect. There are two ways in, and both give the assistant a named, revocable permission at one access level (Read, Draft or Launch):

  • One-click connect (OAuth) — for claude.ai, ChatGPT and any MCP client that can add a connector by URL. Add https://hydrata.com/mcp/ as a custom connector, sign in with your Hydrata account, name the connection and choose its level. The assistant never sees your password.
  • Agent key — for Claude Code, scripts and any client that can send an HTTP header. Create a key on the Agent keys page (https://hydrata.com/agents/) and send it as Authorization: Bearer hk_…. In Claude Code:
  claude mcp add --transport http hydrata https://hydrata.com/mcp/ --header "Authorization: Bearer hk_YOUR_KEY"

Do not add --scope project: that writes the key into the project's shared .mcp.json.

Keys and connections are listed, and revoked, on the same Agent keys page. A run that costs money waits for your consent in the browser unless the key's monthly spend limit covers it. Full guide: Connect an AI assistant in the Hydrata MCP docs.

Tools

Version 0.2.2 exposes forty-two tools, all listed below; nineteen of them only read. Every tool carries MCP annotations: a title and explicit boolean readOnlyHint, destructiveHint, idempotentHint and openWorldHint (openWorldHint is false on every tool: they reach only your Hydrata account). destructiveHint is true only on cancel_run, delete_time_series and delete_observation.

ToolDescription
list_projectsList ANUGA simulation projects (paginated)
get_projectGet one project — name, projection, visibility, your role, base_map — plus ui_url, the link that opens its map
get_scenarioGet a scenario's compact state — computed_status, its inputs (terrain, boundary, friction, inflow, rainfall, building, mesh region, culvert, resolution, duration), the mesh-triangle estimate + breakdown, the price (compute_cost_estimate, vcpu_hours_estimate) and the latest run's id/status/error — never the raw detail
start_simulationStart a flood simulation (local/EC2/Batch backends); the returned run record has its presigned download links elided; hand-back link opens the run. A run over the agent key's monthly spend limit (default $0), or one Hydrata cannot price, is not started: the tool relays Hydrata's CONSENT_REQUIRED at once with the consent_url the person opens in their browser (consent_timeout_seconds > 0 also polls the run for their click)
get_run_statusLightweight status poll (<50ms); phase is never empty (preparing_inputs while a computing run has no progress yet)
get_runFull run details with timing, log and result layers; presigned s3_*_url download links are elided
get_flow_hydrographFlow (Q) across a line you draw, at every frame of a completed run: peak, time of peak, volume and a mass balance, from the run's playback store (the model's flow, not a gauge reading)
cancel_runCancel an in-flight simulation; hand-back link opens the scenario
retry_runRetry a failed simulation (rebuilds the scenario as a new run); hand-back link opens the scenario
list_runsList runs across a project (with status filter); presigned s3_*_url download links are elided from every row
list_inputsEvery input row of a project per kind (boundary, friction, inflow, rainfall, building, mesh region, culvert) — row id, title, dataset, WFS typename and whether it has features — so the agent never has to probe files
list_time_seriesA project's time series — id, name, type, units, row count and first/last timestamp; the data rows are never returned
create_projectCreate an ANUGA project with a name and EPSG projection; returns its base_map and the ui_url of its map
presign_terrain_uploadReturn a presigned URL + key so the agent PUTs the terrain GeoTIFF itself (no file bytes pass through MCP)
finalize_terrain_uploadRegister the uploaded terrain; the import chain seeds the project's six default boundary/friction/inflow/rainfall/building/mesh-region rows (no culvert row: attach_input_layer creates 'Culvert 01' on demand)
get_terrainPoll the terrain until it is ready (bounded; timed_out means call again); phase is never empty; summary = WGS84 bbox, elevation min/max, nodata fraction, native CRS; the link frames the DEM
list_terrain_sourcesThe terrain Hydrata can fetch for a site, finest first (Copernicus GLO-30 worldwide, finer regional LiDAR such as Geoscience Australia 5 m where it has data), with coverage, size cap, vertical datum and licence
create_terrain_from_sourceHave Hydrata fetch, reproject and publish a DEM from one of those sources, then wait for the import like get_terrain
sample_terrainGround level at points (null where the terrain has no data), to place a culvert, inflow or boundary on the ground
terrain_profileGround along a line (a cross-section) with the lowest sample, to find where a channel runs
create_time_seriesCreate a time series (rain gauge, hydrograph or tide/stage — series_type and units are top-level fields) from {"rowData": [...]}; a rainfall polygon binds to its gauge by the series name; summary = row count + first/last timestamp; the link opens the Hydrology panel
update_time_seriesCorrect a time series (PATCH); the same validation as create, and a series a built scenario uses sends that scenario back for rebuild and review
delete_time_seriesDelete a time series (Manager role); refused while a layer feature still uses it, naming the layer and feature
attach_input_layerAttach a GeoJSON dataset the agent already uploaded as the project's boundary/friction/inflow/rainfall/building/mesh-region or culvert layer (kind structure = deprecated alias of building); culvert attributes are mapped onto the culvert fields with defaults filled, and culvert_problems lists what the build will still refuse; breakline is refused; summary = feature count (WFS hits) + WGS84 bbox + whether the map now shows the layer; the link opens Inputs and frames the layer
describe_input_kindsWhat each input layer kind looks like (geometry, properties, allowed values, a minimal example), generated from the definitions the build reads
read_input_layerRead a project input layer's features as GeoJSON, each with its author (a person, or the agent that wrote it)
write_input_layerWrite an input layer (boundary, friction, inflow, rainfall, building, mesh region or culvert) from GeoJSON sent in the call; target writes a separate row for a variant
request_input_uploadThe link where the person uploads a big input layer (over about 150 KB) in their browser: GeoJSON, zipped shapefile or GeoPackage up to 100 MB
create_scenarioCreate a draft scenario and return its mesh-triangle estimate and price (resolution — scenario and mesh-region — is a length in metres); the link opens the scenario
update_scenarioEdit a scenario's name, description, resolution, duration or attached inputs; never builds or runs, the changed scenario is marked stale
clone_scenarioCopy a scenario into a sibling for a variant (no run copied, nothing built), with overrides checked before the copy is made
build_scenarioBuild the scenario package; shows the estimate first and needs confirm=true above 100,000 triangles; polls computed_status to built; never re-posts a build that is in flight or already built (rebuild=true to force one); surfaces the server's 422 refusals (MESH_TOO_LARGE, BOUNDARY_NO_EXTERNAL, MESH_REGION_UNITS_UNMARKED) verbatim; a missing/empty/perimeter-less boundary sends the human to the map to draw or fix it; summary = triangle count + re-priced cost
create_observation_layerCreate a flood observation layer (project-level, never a scenario input) with its vertical datum (terrain, AHD, EGM2008, ellipsoidal, or local + datum_offset_m); waits for the map layer (ready, bounded); the link frames it in the Observations group
list_observationsA project's flood observation layers, or one layer's observations — fid, subtype, stage/depth, sigma, bound, observed window in UTC, datum status (unknown = not scored), photo_count and problems

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只显示了开头部分;其余内容请在仓库中阅读

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