PanoOn Street View

io.github.fanrj3v0.2.21更新于 Oct 7, 2026

Scan Street View areas into PanoIDs and download imagery through PanoOn.

概览

AI 生成的概览

让助手通过本机运行的 PanoOn 服务扫描街景区域并获取 PanoID,然后下载对应影像。

功能
以 stdio 方式封装 PanoOn 本地服务与分布式控制器。工具涵盖服务状态、按多边形扫描区域、扫描状态、结果与取消,以及影像下载、任务状态、任务列表、工作节点列表和任务取消。扫描返回 PanoID,下载会把图片文件写入指定的输出目录。
适用场景
当你希望让支持 MCP 的编程助手收集某个地理范围的街景覆盖情况并抓取对应全景图,并由助手跟踪任务进度和取消操作时,适合使用。
运行要求
通过 npx panoon-mcp 以 Node.js 启动的本地进程,或使用 PanoOn 自带的运行时。PanoOn 应用或服务必须在同一台机器上运行;PANOON_SERVICE_URL 设置其基础地址(默认
安装前请注意
下载体积较大(每张约 0.5 MB)并会消耗代理配额,提交任务前应确认范围和输出路径。下载工具会向用户指定的目录写入文件。扫描被描述为开销小且可随时取消。

安装

在 SourceWeft 中

  1. 打开 控制台中的 PanoOn Street View,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

PanoOn MCP + agent skills

Give any MCP-capable code agent the ability to scan and download Street View data through PanoOn: mcp/panoon-mcp.mjs is a zero-dependency MCP stdio server that wraps the PanoOn local service and the distributed controller.

Quick start (npm)

sh
npx -y panoon-mcp

The npm package panoon-mcp exposes the panoon-mcp bin. You can also download panoon-mcp.zip from https://app.rjfan.org/panoon/mcp/, or use the copy bundled with PanoOn 0.2.21+ (<install>\mcp\panoon-mcp.mjs).

Prerequisite: the PanoOn app/service is running on the same machine (http://127.0.0.1:8787; the desktop app starts it automatically since 0.2.20).

The server

sh
node mcp/panoon-mcp.mjs# or with the runtime bundled with PanoOn (no Node install required):"C:\Users\<you>\AppData\Local\PanoOn\panoon-service-runtime.exe" mcp\panoon-mcp.mjs

Environment:

VariableDefaultMeaning
PANOON_SERVICE_URLhttp://127.0.0.1:8787Local service base URL.

Tools: panoon_status, panoon_area_scan, panoon_area_status, panoon_area_result, panoon_area_cancel, panoon_download, panoon_job_status, panoon_jobs, panoon_workers, panoon_cancel_job.

Install per agent

OpenCode (V2)

sh
opencode mcp add panoon --global -- node <repo>\mcp\panoon-mcp.mjsopencode mcp list

or by hand in ~/.config/opencode/opencode.jsonc:

jsonc
{  "mcp": {    "servers": {      "panoon": {        "type": "local",        "command": ["node", "<repo>/mcp/panoon-mcp.mjs"],        "environment": { "PANOON_SERVICE_URL": "http://127.0.0.1:8787" }      }    }  }}

Skill: copy mcp/skills/panoon/ into your OpenCode skills location (or reference the folder from the skills configuration field).

Claude Code

sh
claude mcp add --scope user panoon -- node <repo>/mcp/panoon-mcp.mjs

or .mcp.json:

json
{ "mcpServers": { "panoon": { "command": "node", "args": ["<repo>/mcp/panoon-mcp.mjs"] } } }

Skill: copy mcp/skills/panoon/ to ~/.claude/skills/panoon/.

Codex CLI

Add to ~/.codex/config.toml:

toml
[mcp_servers.panoon]command = "node"args = ["<repo>/mcp/panoon-mcp.mjs"]env = { PANOON_SERVICE_URL = "http://127.0.0.1:8787" }

For Codex, paste the workflow section of mcp/skills/panoon/SKILL.md into your AGENTS.md so the agent knows the intended flow.

Any other MCP client (stdio)

Use the generic stdio contract:

json
{  "command": "node",  "args": ["<repo>/mcp/panoon-mcp.mjs"],  "env": { "PANOON_SERVICE_URL": "http://127.0.0.1:8787" }}

DeepSeek Harness (dsh)

sh
deepseek mcp add panoon --command node --arg <repo>\mcp\panoon-mcp.mjsdeepseek mcp list

This writes ~/.deepseek/mcp.json (servers.panoon; tools surface namespaced by the harness). Install the skill by copying mcp/skills/panoon/ into ~/.deepseek/skills/panoon/ — dsh uses the same SKILL.md contract as Claude Code — then restart the harness so both are picked up.

On this machine the working example is:

sh
deepseek mcp add panoon --command node --arg D:\04_Dev\PanoOn\mcp\panoon-mcp.mjscopy D:\04_Dev\PanoOn\mcp\skills\panoon %USERPROFILE%\.deepseek\skills\panoon

Typical agent flow

  1. panoon_status → service healthy, strategies available.
  2. panoon_area_scan { polygon: [{lat,lng}, ...] } → jobId; panoon_area_result → PanoIDs.
  3. Confirm output directory with the user.
  4. panoon_download { panoids, outputDir } → jobId; panoon_job_status for progress.

Safety: downloads are large (~0.5 MB/image) and consume proxy quota. Agents should confirm scope and output paths before submitting jobs; scans are cheap and can be cancelled at any time.

来源:README.md,提交 6aa8e42

工具

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版本历史

1
  1. v0.2.21最新Oct 7, 2026