PanoOn Street View

Name: PanoOn Street View
Author: fanrj3

by fanrj3version 0.2.21i★ –iRuns on your computer

Registry nameio.github.fanrj3/panoon-mcp

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 57/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: PANOON_SERVICE_URL

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "panoon": {
      "command": "npx",
      "args": [
        "-y",
        "panoon-mcp"
      ],
      "env": {
        "PANOON_SERVICE_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add panoon --env PANOON_SERVICE_URL=your-value -- npx -y panoon-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "panoon": {
      "command": "npx",
      "args": [
        "-y",
        "panoon-mcp"
      ],
      "env": {
        "PANOON_SERVICE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "panoon": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "panoon-mcp"
      ],
      "env": {
        "PANOON_SERVICE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

PANOON_SERVICE_URL env
PanoOn local service base URL (default http://127.0.0.1:8787)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account fanrj3, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 18676 servers in this category
Published to the registry more recently than 59% of the other 18676 servers in this category
Basic checks equal to or better than 100% of the other 18676 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is PanoOn Street View safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.21) reached the registry 32 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Mcphost

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Mcphost

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Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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)

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+ ( \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

node mcp/panoon-mcp.mjs

or with the runtime bundled with PanoOn (no Node install required):

"C:\Users\ \AppData\Local\PanoOn\panoon-service-runtime.exe" mcp\panoon-mcp.mjs

Environment:

Variable	Default	Meaning
`PANOON_SERVICE_URL`	`http://127.0.0.1:8787`	Local 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)

opencode mcp add panoon --global -- node <repo>\mcp\panoon-mcp.mjs

opencode mcp list

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

"mcp": { "servers": { "panoon": { "type": "local", "command": ["node", " /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

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

or .mcp.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:

[mcp_servers.panoon]

command = "node" args = [" /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:

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

DeepSeek Harness (dsh)

deepseek mcp add panoon --command node --arg <repo>\mcp\panoon-mcp.mjs

deepseek 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:

deepseek mcp add panoon --command node --arg D:\04_Dev\PanoOn\mcp\panoon-mcp.mjs

copy D:\04_Dev\PanoOn\mcp\skills\panoon %USERPROFILE%\.deepseek\skills\panoon

Typical agent flow

panoon_status → service healthy, strategies available.
panoon_area_scan { polygon: [{lat,lng}, ...] } → jobId; panoon_area_result → PanoIDs.
Confirm output directory with the user.
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.

PanoOn Street View

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Mcphost

README from the maker

PanoOn MCP + agent skills

Quick start (npm)

The server

or with the runtime bundled with PanoOn (no Node install required):

Install per agent

OpenCode (V2)

Claude Code

Codex CLI

Any other MCP client (stdio)

DeepSeek Harness (dsh)

Typical agent flow