Stadiamaps Mcp

io.github.mrfentmen由 GitHub 帳號 mrfentmen 發布v1.0.0更新於 Nov 3, 2026

Stadia Maps: geocoding, routing, isochrones, static maps and elevation lookups.

已驗證STDIO僅桌面位置與生活開發者工具

概覽

AI 產生的概覽

本機 MCP 伺服器,讓助理使用 Stadia Maps 進行地理編碼、路線規劃、等時圈、距離矩陣、高程與時區查詢。

可以做什麼
  • 對地名、地址與結構化地址各部分做地理編碼,取得輸入聯想建議,並把座標反查為地點。
  • 計算多個途經點之間的路線,可回傳完整摘要或單行摘要,並產生多起點到多終點的時長/距離矩陣。
  • 依交通方式產生 1 至 120 分鐘的等時圈可達範圍,另有僅回傳中繼資料的精簡版本。
  • 查詢路徑沿途或單點的高程,並取得某座標的 IANA 時區與 UTC 偏移。
適用情境
適合助理需要處理位置資訊的情境:把地址轉成座標、規劃或比較路線、判斷多個地點中哪個最近、評估出行可達範圍,或查詢某點的高程與時區。
執行需求
以本機 stdio 程序執行,從 npm 套件 stadiamaps-mcp 安裝,需要 Node.js 與 npm。它封裝 Stadia Maps API,儲存庫說明封裝廠商 API 的伺服器需要該廠商的金鑰,但清單中未宣告任何金鑰變數。需要網路存取。
安裝前請注意
伺服器會呼叫第三方地圖廠商,座標與地點查詢會傳送到外部。很可能需要 Stadia Maps API 金鑰,並可能受廠商用量限制或計費約束。回傳的是精簡摘要,不含原始路線幾何,因此拿不到詳細路徑形狀。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Stadiamaps 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

12

stadia_geocode

Forward geocode a place name or address; returns compact rows (label, lat/lon, region, country).

輸入參數sizetext必填

stadia_autocomplete

As-you-type place suggestions for partial input.

輸入參數text必填

stadia_reverse

Reverse geocode a coordinate: what place is at this lat/lon. Returns compact rows.

輸入參數zoomlayerscoordinates必填

stadia_structured

Structured geocoding: give separate country/region/city/address/postalcode parts instead of one string.

輸入參數cityregionaddresscountrypostalcode

stadia_directions

Route between 2+ waypoints ("lat,lon lat,lon ..." separated by spaces or semicolons). Returns trip summary plus per-leg summaries (length, time) — no raw geometry.

輸入參數unitscostingwaypoints必填

stadia_directions_summary

The same route call reduced to one line: total distance, total time, leg count.

輸入參數unitscostingwaypoints必填

stadia_isochrone

Reachable-area polygons from one point within 1-120 minute contours (per travel mode).

輸入參數costingcontours必填coordinates必填

stadia_isochrone_contours

The same isochrone call reduced to the per-contour metadata (which contour covers how far).

輸入參數costingcontours必填coordinates必填

stadia_route_matrix

Time/distance matrix between many sources and targets (each "lat,lon lat,lon ...") — pick the nearest of N places.

輸入參數unitscostingsources必填targets必填

stadia_elevation

Elevation along a path of 2+ points; with range=true the answer includes cumulative distance at each sample.

輸入參數rangewaypoints必填

stadia_elevation_point

Elevation at a single coordinate (one height call, range off).

輸入參數coordinates必填

stadia_timezone

IANA timezone and offsets for a coordinate; pass timestamp (epoch seconds) for the offset at that instant.

輸入參數timestampcoordinates必填

版本歷史

1
  1. v1.0.0最新Oct 29, 2026

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