ShowMeOnMap

ShowMeOnMap: карта по запросу на обычном языке из живых открытых геоданных

От сообществаРаботаетНужен API-ключГлобальныйБесплатноТолько чтение

Что умеет

  • Строить карту и добавлять слои из живых источников данных
  • Объединять и коррелировать несколько слоёв
  • Фильтровать объекты и выделять область интереса
  • Запускать геопространственный анализ по выбранным данным
  • Экспортировать карту как изображение или файл слоя

Какие данные видит

Доступ к серверу защищён API-ключом, данные слоёв берутся из открытых публичных геоисточников.

Нужен ли аккаунт

Нужен API-ключ из настроек сервиса

ShowMeOnMap строит карты из текстового запроса, накладывает слои из открытых источников, объединяет их и запускает геопространственный анализ. Ассистент фильтрует и стилизует слои, ставит аннотации, настраивает камеру и время, а затем экспортирует карту как изображение или рабочее пространство.

Как подключить

Как подключить ShowMeOnMap к Claude

Адрес сервера, который нужно вставить в настройках Claude:

https://showmeonmap.com/api/mcp

  1. Откройте Claude (сайт claude.ai или приложение для компьютера).
  2. Перейдите в Настройки → Коннекторы (в английском интерфейсе: Settings → Connectors).
  3. Нажмите Добавить пользовательский коннектор (Add custom connector).
  4. Вставьте адрес сервера, скопированный ниже, в поле URL удалённого MCP-сервера и нажмите Добавить.
  5. В чате нажмите + → Коннекторы и включите новый коннектор.

Пользовательские коннекторы доступны на тарифах Free, Pro, Max, Team и Enterprise. На Free можно добавить только один. В Team и Enterprise коннектор сначала добавляет владелец организации в Настройки организации → Коннекторы.

Авторизация

После нажатия Добавить откроется окно входа в сервис. Войдите под своим аккаунтом и подтвердите доступ. Пароль Claude не видит.

Как подключить ShowMeOnMap к ChatGPT

Адрес сервера, который нужно вставить в настройках ChatGPT:

https://showmeonmap.com/api/mcp

  1. Откройте ChatGPT в браузере (chatgpt.com). Нужен тариф Plus, Pro, Business, Enterprise или Edu.
  2. Один раз включите режим разработчика: Настройки → Приложения → Дополнительные настройки → Режим разработчика (Settings → Apps → Advanced settings → Developer mode).
  3. Откройте Настройки → Коннекторы и нажмите Создать (Create).
  4. Заполните форму: Название (любое), Описание (одна фраза, что делает сервис), URL MCP-сервера (скопируйте ниже).
  5. В поле Аутентификация выберите OAuth, если сервис требует вход, иначе Нет. Нажмите Создать.
  6. В новом чате откройте + → Приложения/Коннекторы и включите коннектор.

Название раздела у OpenAI менялось (Connectors → Apps/Plugins). Если пункт называется иначе, ищите «режим разработчика» в настройках. В рабочих пространствах Business/Enterprise администратор должен разрешить пользовательские коннекторы.

Авторизация

При первом использовании ChatGPT откроет окно входа в сервис. Войдите и подтвердите доступ.

Как подключить ShowMeOnMap к Cursor

Адрес сервера, который нужно вставить в настройках Cursor:

https://showmeonmap.com/api/mcp

Быстрый способ: нажмите кнопку Открыть в Cursor ниже, Cursor сам предложит добавить сервер.

Вручную:

  1. В Cursor откройте Settings → Cursor Settings → MCP и нажмите Add new global MCP server.
  2. Вставьте JSON, скопированный ниже, в открывшийся файл ~/.cursor/mcp.json (для одного проекта: .cursor/mcp.json в корне проекта).
  3. Сохраните файл. Сервер появится в списке MCP; при необходимости пройдите авторизацию по кнопке рядом с ним.

Авторизация

Если сервис требует вход, рядом с сервером в списке MCP появится кнопка авторизации.

Список инструментов сервера (29)

Технические названия из tools/list. Нужны только разработчикам.

build_mapCreate a new workspace from a natural-language query. Returns a map_id you can pass to mutate_map or get_state for follow-up actions. For the full Op catalog and predicate grammar that downstream tools (mutate_map, filter_layer, etc.) accept, fetch the MCP resource at showmeonmap://docs/workspace-ops-spec — do NOT guess the shapes.
mutate_mapApply a natural-language instruction to an existing workspace. Valid mutations: filter a layer, remove a layer, change camera, change basemap. For ambiguous instructions the tool emits a clarification field. For unrelated instructions it emits outOfScope — build a new map in that case. For the full Op catalog and predicate grammar, fetch the MCP resource showmeonmap://docs/workspace-ops-spec.
get_stateReturn the current workspace, map plan, and active filters for a given map_id.
add_layerAppend a fully-constructed LayerPlan to an existing workspace without going through NL. Pass the same shape the workspace pipeline emits — { id, title, source, viz, geometry, ... }. Prefer this when you already have a structured plan; otherwise use mutate_map. For the full LayerPlan and Op spec, fetch the MCP resource showmeonmap://docs/workspace-ops-spec.
add_fusion_layerSpatially join two existing layers and add a new layer that encodes both values per region as a 3x3 bivariate choropleth. Both layers must already exist in the workspace (call build_map or add_layer first). Auto-detects the numeric value field from each layer's viz config; pass value_field_a / value_field_b to override. Returns the new layer_id, correlation r, and matched-feature count. Required: map_id, layer_a_id, layer_b_id, rationale.
correlate_layersSpatially join two existing workspace layers and return the Pearson correlation coefficient r, sample size n, two-sided p-value approximation, plus human-readable strength and direction labels. Pure read — no layer is added, no op is committed, no credit charge. Use this when you want a numeric answer without rendering; use add_fusion_layer when the user wants the visualization. Required: map_id, layer_a_id, layer_b_id, rationale.
filter_layerNarrow a layer to features matching a structured predicate. `append:true` (default) conjoins with any existing filter; `append:false` replaces the chain.
select_withinCreate a new layer containing the source layer's features that lie within the supplied polygon. The source layer is untouched. Useful for "show me only the X inside this country/bbox/hand-drawn shape."
focus_areaRefine an existing layer to a NAMED area the server resolves from OpenStreetMap — a street corridor ("Broadway from Arbutus Street to Main Street"), a place ("Mount Pleasant"), or an intersection surroundings. Pass names only, never coordinates; unresolvable names return a clarification with real nearby candidates instead of guessed geometry. Emits ordinary undoable ops (filter / new layer + camera) and a grounded summary like "kept 37 of 150 features". Costs 1 credit when a mutation lands; clarifications are refunded.
run_analysisCompute a spatial analysis server-side and append the finished, honestly-legended result as a new layer + camera; the result REPLACES its input layer(s) (undoable). hotspot = Getis-Ord Gi*: hot/cold significance classes (99/95/90%, Benjamini-Hochberg FDR-corrected) on a numeric field, or on hex-binned point density when valueField is omitted. zonal = aggregate points into polygon zones (an existing zone layer OR a generated h3 fishnet): count/sum/mean/min/max per zone as a quantile choropleth where zero and no-data are distinct classes. enrich = join a US Census ACS indicator (median income, home value, rent, …) onto each feature by tract/county/state containment — unmatched features stay null, never zero-filled. join = spatial join (attribute transfer): each point in layerId takes properties from the joinLayerId polygon containing it (collisions prefixed, unmatched points carry NO joined fields, zero overlap is a typed rejection). merge = append two same-geometry-class layers into one dataset with a per-row source column (schemas never null-filled; class mismatch is a typed failure). near = nearest-neighbor distance columns (great-circle meters, stated — never presented as road distance). dissolve = true polygon union per attribute group (missing values form their own group; partial sums reported). Returns a grounded memo + stats payload — every number is computed, never generated; findings keep the map. Costs 1 credit when the result lands; typed failures (unknown layer, too few features, >10,000-feature cap) are refunded.
query_featuresEvaluate a predicate against a layer's inline features and return the matching subset. No Op is emitted and the workspace is not mutated. Handy for introspection ("how many X match Y?") before deciding whether to filter, subset, or build a new layer.
remove_layerDrop a layer from the workspace by id. Strict: removing an already-removed or never-added layer fails. Layer ids do NOT recycle — a removed id cannot be re-added later in the same workspace. GATED: this tool is destructive. Pass confirmed:true to proceed; otherwise a needs_confirmation envelope is returned.
clear_filtersWipe every predicate currently applied to a layer's filter chain, making every source feature visible again. Inverse of filter_layer. No-op on layers that have no existing filter. GATED: pass confirmed:true to proceed; otherwise a needs_confirmation envelope is returned.
rename_layerChange a layer's id from oldLayerId to newLayerId. Re-keys any existing filter chain and preserves insertion order among sibling layers. Strict: newLayerId must not already be in use (current OR tombstoned) in this workspace. Subsequent ops must reference the layer by its new id.
restyle_layerAdjust a layer's color and/or opacity. Within-palette changes only — the renderer silently ignores fields the current viz variant doesn't support. Pass at least one of color / opacity; passing neither is an accepted no-op.
set_cameraOverride the workspace camera. Latest set_camera op wins during replay. Two modes: `fitBounds` with a [w,s,e,n] bbox (plus optional padding/animateMs), or `flyTo` with [lng,lat] center + zoom (plus optional pitch/bearing/animateMs). Use for "zoom to Japan", "center on Paris at z=10", or finishing a drill-down after filter_layer. Equivalent to the camera move mutate_map would emit, but skips the NL roundtrip.
set_timeOverride the current time-range filter. Latest set_time op wins during replay. Use for "filter to 2020-2024" or "show only the last 7 days" intents. Not yet consumed by the renderer — the UI drives the slider directly — but the value is captured in the ops log and queryable via get_state.
tagLabel the current workspace state with a user-supplied name. The label is mirrored into workspace.meta.tags so UIs can render a named-revision history. Tagging the same label twice is idempotent — no error, no duplicate entry.
add_annotationAdd a user-placed label at a specific coordinate. Annotations are independent of layers and live in their own id namespace. Strict: the id must not already be in use by another CURRENTLY-placed annotation (removed ids can be recycled).
remove_annotationDrop a previously-placed annotation by id. Strict: removing an already-removed or never-placed id fails. After removal, the id CAN be re-used by a later add_annotation (unlike layer ids, which are tombstoned for the session).
export_workspaceReturn the current workspace document (ops log + cursor + meta) plus the materialized mapPlan and layerFilters, in a shape suitable for save-to-file / share-by-URL / inspection. Pure read — no mutation, no credit charge. Use this when you want the full raw state for serialization; use get_state when you want the compact envelope for display.
export_layer_dataExport a single layer's features as a downloadable file. Returns a URL with Content-Disposition: attachment so the user's browser downloads it. CSV drops geometry beyond a (lng, lat) centroid — for full polygon/line geometry, use format: "geojson". The URL is an unguessable capability link that does NOT expire — treat it as shareable-forever, not temporary. Required: map_id, layer_id, format, rationale.
export_imageReturns a deep-link URL that opens the map in the user's browser and automatically triggers a PNG download. The user clicks the link, the browser renders the map at full resolution with the legend composited (if legend: true), and the file downloads. There is no server-side rendering; the user's browser is the renderer. Required: map_id, rationale. Optional: format (png default), legend (true default).
undoRewind the workspace cursor by one, re-materializing the state as it was before the last mutation. Does NOT delete any ops — redo will fast-forward. Calling undo at the workspace genesis (cursor === 0, only the CreateWorkspace op is in scope) is a no-op that surfaces an error rather than silently doing nothing. GATED: pass confirmed:true to proceed; otherwise a needs_confirmation envelope is returned.
redoAdvance the workspace cursor by one toward the tail of the ops log, replaying the next op that was previously undone. Calling redo when the cursor is already at the tail (no undone ops to fast-forward) fails rather than silently no-op. Note: any new op applied via apply-op / mutate-map after an undo truncates the redo tail (standard edit-stack semantics).
report_blockerTell the ShowMeOnMap team your agent hit something it could not accomplish — an unsupported intent, a missing tool, an unclear schema, an op that failed in a confusing way. Use this when build_map / mutate_map / a direct-op tool returns something you cannot recover from, OR when you would have wanted a different tool to exist. Records the report to a server-side log; does not unblock the current session, but feeds future capability work. No map_id required — file the report even if no map was built.
save_workflowSave a re-runnable, parameterized workflow: an ordered list of natural-language instructions (step 1 builds, later steps mutate). Wrap values in {braces} and declare them in params. Running it later re-executes the instructions on FRESH data and bills per step like typing.
list_workflowsList the caller's saved workflows with their parameters and per-run credit estimates.
run_workflowExecute a saved workflow with parameter values. PAID: bills ~1 credit per step through the normal build/mutate paths (the estimate is in list_workflows). Optional batch mode sweeps ONE param across 2–20 values — each value is a full independent run (steps × values credits); failed/paused values are reported per value and the batch continues. A clarification pauses a single run (status "paused" + the question); failures stop at the failing step. On success the result is a live map with a shareable URL (batch: the last successful value's map).