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)
Scan Street View areas into PanoIDs and download imagery through PanoOn.
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。
PANOON_SERVICE_URL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 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"panoon": {
"command": "npx",
"args": [
"-y",
"panoon-mcp"
],
"env": {
"PANOON_SERVICE_URL": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add panoon --env PANOON_SERVICE_URL=your-value -- npx -y panoon-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"panoon": {
"command": "npx",
"args": [
"-y",
"panoon-mcp"
],
"env": {
"PANOON_SERVICE_URL": "your-value"
}
}
}
}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": {
"panoon": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"panoon-mcp"
],
"env": {
"PANOON_SERVICE_URL": "your-value"
}
}
}
}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。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
PANOON_SERVICE_URL env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。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
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9日
注册名称已通过 GitHub 账户 fanrj3 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
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
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。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.2.21)于33天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Bestax
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ 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.
Props, examples, CSS variables and Agent Skills for bestax-bulma React components (Bulma v1)
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。
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.
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).
node mcp/panoon-mcp.mjs
"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.
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 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/.
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.
Use the generic stdio contract:
{
"command": "node", "args": [" /mcp/panoon-mcp.mjs"], "env": { "PANOON_SERVICE_URL": "http://127.0.0.1:8787" } }
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
panoon_status → service healthy, strategies available.panoon_area_scan { polygon: [{lat,lng}, ...] } → jobId; panoon_area_result → PanoIDs.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.