Soilgrids Mcp

io.github.mrfentmen由 GitHub 帳號 mrfentmen 發布v1.0.1更新於 Nov 3, 2026

SoilGrids soil properties by depth for any coordinate: clay, sand, carbon, pH and WRB

已驗證STDIO僅桌面位置與生活資料與分析

概覽

AI 產生的概覽

查詢任意座標的 SoilGrids 土壤資料:依深度取得黏土、砂、碳、pH 等屬性,並給出世界土壤資源參比基礎分類。

可以做什麼
  • 依座標、指定屬性與深度層取得土壤屬性數值
  • 依座標給出最可能的世界土壤資源參比基礎(WRB)土壤類別及機率
  • 列出底層 API 接受的屬性代碼與深度層
適用情境
當問題取決於某地的土壤條件時適用,例如農業、土地評估、環境或地理空間研究;可讓助理直接取得 SoilGrids 數值與土壤類別機率,不必手動查詢。
執行需求
以本機 stdio 程序執行,從 npm 套件 @mrfentmen/soilgrids-mcp 安裝;需要 Node.js 以及連線 SoilGrids API 的網路。未宣告任何驗證、環境變數或請求標頭。
安裝前請注意
僅對公開土壤資料做唯讀查詢,不涉及憑證、付費或寫入。結果是 SoilGrids 針對某座標的模型估算值,應視為預測而非實地測量。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Soilgrids Mcp,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

awesome-servers

One repo for three families of servers, each subtree keeping its own layout and tooling so it can still be built, run and published on its own.

SubtreeWhat it holdsRun one
mcp/338 TypeScript MCP servers, plus 1107 published packages in published/cd mcp/servers/<slug> && npm install && npm run build
acp/79 Python ACP agentspython3 acp/agents/<name>/agent.py
a2a/37 Python A2A servers plus the shared a2a_kitpython3 a2a/servers/<name>/server.py
watchd/a threshold watcher that runs the feeds between editor sessionspython3 watchd/watchd.py --config conditions.json --loop
site/the published site: registry with search, the public-feed atlas, watchd planshttps://mrfentmen.github.io/awesome-servers/

Most servers read public data with no key of their own; the ones wrapping a vendor API take that vendor's key. Nothing in this repo asks a caller to pay. On 2026-10-17 the licence machinery was removed for good: the per-tool src/license.ts gates are gone from the MCP servers, and the A2A and ACP trees no longer carry the hosted licence-gateway half — the skills that used it now answer with an explicit not-implemented stub. Nothing here asks a caller to pay, and nothing they run is refused with a buy link.

Nothing here is generated: each subtree's README says what its servers read, and every server has its own unit tests (mcp/servers/<slug>/tests, acp/agents/<name>/tests, a2a/servers/<name>/tests) plus a live smoke check (tools/smoke*.py, a2a/tools/smoke_all.py).

Novel and original

Nearly all of this is first-of-its-kind work, not a port of an existing catalogue. Before each server or agent was built, it was checked against the official tool lists (the MCP registries, agentclientprotocol.com's agent list and registry) and a live GitHub search for the same domain, and the research logs record what was found and why it still counted as missing — see mcp/MISSING.md, acp/MISSING.md and a2a/docs/. Highlights:

  • The MCP side holds TypeScript servers, one npm package each, and 1039 published packages under published/; mcp/MISSING.md documents the check that preceded every build: what was searched, what was skipped and why the domain still counted as uncovered.
  • On the ACP side there were zero domain agents before this repo — every agent on the official list was a coding agent. These 79 Python agents are the first non-coding ACP agents, and several use protocol surfaces no other agent uses in production (session/request_permission for dataset reads, fs/write_text_file for a briefing file, session/cancel for a conditional watch, image content blocks, a live SSE push feed), each proved-unused in the wild by search at build time. Two more firsts carry their own proof: the orchestrator is an agent whose feeds are agents — it spawns sibling repo agents as real ACP child processes and merges their answers — and the nyc pack is the first multi-agency city surface.
  • acp/MISSING.md doubles as the public-feed atlas: every keyless feed probed live, with its date, what it answered and whether it still works. The published site renders that table at https://mrfentmen.github.io/awesome-servers/atlas.html.
  • The pattern across all three subtrees is the same thesis: wrap one real, keyless public dataset, answer honestly about what the feed did and did not say, and keep the whole thing small, tested and self-contained.

Publishing

  • MCP servers publish from mcp/servers/<slug> (its own package.json, version and README).
  • ACP and A2A servers are repo-run today (Python, no packaging step).

Built on top of it

Creatures that use this corpus as their world live in the sibling repo mrfentmen/superagents (public, with its own claim-check in MISSING.md):

  • polymath — routes your question to the most fitting agents of this repo, spawns each as a real ACP child process, and merges the answers into one brief with per-row citations; a sibling that fails appears as a named row, never silence. Its registry is a data file and its ranking is deterministic word-scoring, not a model opinion.
  • sentry — one plain sentence ("watch air quality in Denver over 150") becomes a tracked watch: a permission-asked protocol write produces the conditions file this repo's watchd/ obeys unchanged, plus the activation lines. Checks it can author today: air thresholds, quake magnitudes within a radius, river gauges at flood stage.
  • fedora hat guy — the persona agent in his own repo mrfentmen/fedora-hat: says "never miss" and means it — one sentence installs the full crown of watches (air + quakes, gauge-named flood) in one permissioned write, and your other questions are forwarded to the siblings above with every row cited.
  • instink — the instinct agent in his own repo mrfentmen/instink: compiles a skill into a reflex — a matcher plus the answer it fires, with hit/miss counters and honest promotion/demotion. The skill doc stays one step away, never deleted.
  • contextink — the context agent in his own repo mrfentmen/contextink: you say "do this" and it acquires the context from the repo, git, and recent files so you don't have to explain it; asks only the minimal high-information-gain questions when acquisition fails.
  • rewind — the replay agent in his own repo mrfentmen/rewind: replays agent runs and mutates one variable to see what would have happened. Replay + mutate + diff for agent traces.
  • scopink — the scope agent in his own repo mrfentmen/scopink: checks if an action is within the scope of what was asked. Detects scope creep in agent plans.
  • curious — the curiosity agent in his own repo mrfentmen/curious: proactively seeks information it doesn't have. Scans for knowledge gaps, seeks answers, learns facts.
  • bored — the idle agent in his own repo mrfentmen/bored: uses idle time productively. Consolidates memories, explores areas, prepares for tasks.

Point the polymath at a checkout of this repo with AWESOME_SERVERS_HOME=$PWD/awesome-servers and it federates across the two repos live.

Published snapshot (published/)

published/ holds one directory per npm package, byte-for-byte what the registry serves: 1039 packages, every version matching npm latest.

  • published/INDEX.md is generated from the tree by python3 scripts/index-published.py.
  • scripts/sync-published-snapshot.py re-downloads every package from npm; run it only when every local fix has been published, because it overwrites dist/ from the tarballs.
  • One package carries a licence gate (MCP_LICENSE_KEY): @mrfentmen/vg-resource-mcp. Another 495 still ship tools that answer Not yet implemented; published/INDEX.md lists every one of them.
  • Every package links to this repo (mrfentmen/awesome-servers) as its source.

servers/ holds the older per-server source that predates the snapshot. Where the two disagree, published/ is what users actually install.

來源:README.md,提交 ee04f93

工具

3

soil_properties

Soil property values at a coordinate for chosen properties and depth layers.

輸入參數lat必填lon必填depthsproperties

classify_soil

The most likely World Reference Base soil classes at a coordinate with probabilities.

輸入參數lat必填lon必填classes

list_soil_codes

The property codes and depth layers this API accepts.

無需輸入參數。

版本歷史

1
  1. v1.0.1最新Oct 29, 2026

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