Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
GIS tools for AI agents: 65 free tools + 8 paid (hazard/site-scouting/GeoJSON export)
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。
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。
选择你使用的 AI 应用,然后复制设置。
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:
https://gisgp.com/mcp在终端中运行这条命令
claude mcp add --transport http gisgp https://gisgp.com/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"gisgp": {
"url": "https://gisgp.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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"gisgp": {
"type": "http",
"url": "https://gisgp.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:
https://gisgp.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。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
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
注册名称已通过 GitHub 账户 uponex 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
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。
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。
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。
GitHub 仓库最后更新于–,最新版本(1.3.0)于3个月前进入注册中心。
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。
同一分类中有:Spec Driven Development, Remote Desktop Commander, MCP Server Autocad Lisp Helper
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
High-precision static analysis and debug server for AutoCAD AutoLISP (.lsp) files.
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。
Free remote MCP (Model Context Protocol) server for GIS/ArcGIS Online automation.
Endpoint: https://gisgp.com/mcp (Streamable HTTP, stateless, no auth for public layers)
{ "mcpServers": { "gisgp": { "url": "https://gisgp.com/mcp" } } }
server.py is a self-contained, open-source MCP server (stdio transport) implementing the format-conversion and geometry tools that need no external service access — no ArcGIS Online credentials, no network calls. Build and run it with the included Dockerfile:
docker build -t gisgp-mcp .
docker run -i --rm gisgp-mcp
{ "mcpServers": { "gisgp-local": { "command": "docker", "args": ["run", "-i", "--rm", "gisgp-mcp"] } } }
The tools that inspect/query a live ArcGIS Online FeatureServer (count_features, extract_domains, check_field_types, check_service_health, rest_explore, compare_schemas, query_features, query_statistics) require a real AGOL connection and stay on the hosted remote endpoint above — they are not part of this local server.
The hosted server at https://gisgp.com/mcp also exposes ArcGIS Online QA tools that need a live AGOL connection and can't run in this local/stdio server:
| Tool | What it does |
|---|---|
grade_service | Grade any FeatureServer A–F across 5 categories (schema, completeness, performance, maintenance, configuration) — returns a public shareable scorecard link |
audit_service | One-call QA report: health + field schema + coded domains + summary counts |
find_layer_issues | Scan a layer for problems: all-null fields, empty geometries, stale data, missing ObjectID, disabled query |
share_map | Publish a GeoJSON FeatureCollection as a live shareable web map |
full_service_audit | Merges grade_service + audit_service + find_layer_issues into a single call |
count_features / extract_domains / check_field_types / check_service_health / rest_explore / compare_schemas / query_features / query_statistics | Inspect/query a live ArcGIS FeatureServer |
Also hosted-only: get_terrain_profile, get_climate_history, classify_land_cover, analyze_location — free geo primitives backed by third-party open-data APIs (Open-Meteo, ESA CCI Land Cover, OSM Nominatim), kept on the hosted endpoint rather than this offline server since they need outbound internet access to those services.
| Tool | What it does |
|---|---|
estimate_cost | Free — quote a paid tool's credit cost without executing it |
check_wallet_balance | Free — check your own MCP credits balance (needs an API key) |
assess_property_hazard | Paid, 200 credits (€0.20) — multi-source US property hazard: USGS seismic risk + FEMA 10-year disaster history + NOAA active weather alerts, charged via credits wallet |
assess_property_hazard_x402 | Paid, ~$0.20 via the x402 protocol — same multi-source hazard data, paid directly in USDC on-chain (Base), no GISGP account needed |
These require live infrastructure (ArcGIS/S3, DynamoDB credits wallet, or third-party APIs) and are not part of the open-source subset below — everything below runs fully offline.
40 tools in this local/offline server subset (see the hosted-only sections above for the full 92-tool catalog including AGOL QA/query tools and Layer 2 paid tools).
| Tool | Description |
|---|---|
convert_coordinates | Convert coordinate pairs between EPSG coordinate systems |
validate_geojson | Validate GeoJSON: RFC 7946 structure, topology, WGS84 ranges |
geojson_to_csv | Convert a GeoJSON FeatureCollection to CSV |
shapefile_to_geojson | Convert a Shapefile ZIP to GeoJSON |
kml_to_geojson | Convert KML to GeoJSON |
gpx_to_geojson | Convert GPX to GeoJSON |
geometry_stats | Compute area/length/vertex count/centroid/bbox of GeoJSON (equal-area projection) |
reproject_geojson | Reproject an entire GeoJSON between EPSG coordinate systems |
simplify_geometry | Simplify GeoJSON geometry (Douglas–Peucker) |
reduce_precision | Round GeoJSON coordinates to N decimal places (shrinks payload size) |
csv_to_geojson | Convert CSV with auto-detected coordinate columns to GeoJSON |
geojson_to_kml | Convert a GeoJSON FeatureCollection to KML |
geojson_to_shapefile | Convert a GeoJSON FeatureCollection to a Shapefile ZIP |
gpx_to_kml | Convert GPX to KML |
kml_to_shapefile | Convert KML to a Shapefile ZIP |
wkt_to_geojson | Convert a WKT geometry string to GeoJSON (e.g. from PostGIS) |
geojson_to_wkt | Convert a GeoJSON geometry to a WKT string |
buffer_geojson | Buffer every feature by a distance in metres, geodesically accurate at any latitude |
dissolve_geojson | Merge overlapping/adjacent geometries into one, optionally grouped by a property field |
centroids_geojson | Replace each feature's geometry with its centroid Point |
convex_hull_geojson | Smallest convex polygon containing all input features combined |
overlay_geojson | Boolean set operation (intersection/difference/symmetric_difference/union) between two GeoJSON inputs |
spatial_join_geojson | Attach properties from every matching feature in B to each feature in A |
nearest_features_geojson | For each feature in A, find the nearest feature in B by geodesic distance |
fix_geometry | Repair invalid geometries (self-intersections, bad rings) via GEOS make_valid |
geojson_diff | Added/removed/changed features between two GeoJSON FeatureCollections |
epsg_suggest | Suggest the correct UTM EPSG code for a lon/lat pair |
tile_math | Convert lon/lat + zoom to Slippy Map (XYZ) tile x/y, bbox and Bing quadkey |
envelope_geojson | Bounding-box rectangle (envelope) per feature |
minimum_rotated_rectangle | Smallest-area rotated rectangle containing all input features combined |
voronoi_geojson | Voronoi diagram of the input points |
geometry_health_report | One-call health check: validate + auto-repair + stats + envelope, merged |
dxf_to_geojson | Convert an AutoCAD DXF file to GeoJSON (POINT/LINE/LWPOLYLINE/POLYLINE/ARC/CIRCLE, layer name kept as a property) |
geojson_to_dxf | Convert GeoJSON to an AutoCAD DXF file |
list_dxf_layers | List the distinct layer names used in a DXF drawing |
georeference_dxf | Reproject a DXF's local/arbitrary drawing coordinates to real-world lon/lat via a 2-point similarity transform |
geojson_to_gpx | Convert GeoJSON to a GPX file (points -> waypoints, lines/polygon rings -> tracks) |
offset_coordinates | Move a WGS84 point by a geodesic distance and bearing |
detect_coordinate_order | Detect whether [x, y] pairs are [lon, lat] or [lat, lon] |
guess_crs_from_coordinates | Best-guess candidate CRS for raw coordinates with no metadata (e.g. missing .prj) |
Cookbook: real task -> tool call examples in COOKBOOK.md
Docs: https://gisgp.com/api · Homepage: https://gisgp.com