原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Openroute MCP

作者:vemonet版本 0.0.4i★ –i在你的电脑上运行
注册名称io.github.vemonet/openroute-mcp

安装

概览

作者提供的说明(英文原文)

Plan routes using the OpenRouteService API, such as for hiking, mountain biking, or driving.

PopNx MCP 的三大支柱

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。

它能帮你做什么

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。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他
  • 你需要填写:OPENROUTESERVICE_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: OPENROUTESERVICE_API_KEY

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

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": {
    "openroute": {
      "command": "uvx",
      "args": [
        "openroute-mcp"
      ],
      "env": {
        "OPENROUTESERVICE_API_KEY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add openroute --env OPENROUTESERVICE_API_KEY=your-value -- uvx openroute-mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "openroute": {
      "command": "uvx",
      "args": [
        "openroute-mcp"
      ],
      "env": {
        "OPENROUTESERVICE_API_KEY": "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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "openroute": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "openroute-mcp"
      ],
      "env": {
        "OPENROUTESERVICE_API_KEY": "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。

需要你填写的值

  • OPENROUTESERVICE_API_KEY 机密 必填 env
    Your API key for https://api.openrouteservice.org

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。

它能做什么

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。

基础检查i

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

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 vemonet 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    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“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 18333 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 18333 个服务器的 2% 更新
  • 基础检查结果等于或优于此分类中其他 18333 个服务器的 100%

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。

常见问题

Openroute MCP 安全吗?

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。

它需要哪些密钥或代码?

你需要填写:OPENROUTESERVICE_API_KEY

它在我的电脑上运行还是在云端?

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)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.0.4)于9个月前进入注册中心。

哪些应用可以使用它?

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 Python (uv)。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Signoff

替代选择

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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

Signoff

作者:ayuanxx-max

Five gates that make an agent's 'done' provable: run them, read the verdict, audit the record.

在你的电脑上运行今天更新
安装

作者的 README

打开 README

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。

🗺️ OpenRoute MCP

Model Context Protocol (MCP) server to plan routes using the [OpenRouteService API](https://api.openrouteservice.org/), for activities such as hiking or mountain biking.

[!CAUTION]

DISCLAIMER: The routes generated by this service are provided for informational purposes only and are not guaranteed to be safe, legal, or suitable for your intended use. Always verify routes independently using official maps, local authorities, and current conditions before attempting any journey. Users assume all risks and responsibilities for their safety and compliance with local laws and regulations.

[!TIP]

Copy the whole GPX file returned as part of the tool call results, and use a service such as gpx.studio to load the generated GPX file on a map.

🛠️ Available tools

  • 📍 Find possible coordinates for a location
  • Arguments:
  • location (string): location to get coordinates for
  • Returns: list of 10 coordinates with available description to enable the agent figure out the right one
  • 🏠 Find possible locations (addresses) for given coordinates.
  • Arguments:
  • lon (float): Longitude of the location
  • lat (float): Latitude of the location
  • Returns: list of objects close to the given coordinates
  • 🗺️ Create a route from a starting location to a destination, optionally with waypoints
  • Arguments:
  • route_type (string): Type of route, e.g. "cycling-mountain", "cycling-regular", "foot-hiking", "driving-car"
  • from_coordinates (list[float]): Starting location as [longitude, latitude]
  • from_coordinates (list[float]): Destination location as [longitude, latitude]
  • waypoints (list[list[float]]): optional list of waypoints coordinates as [[lon, lat], ...]
  • Returns:
  • a resource file containing the route GPX (e.g. route://foot-hiking-98.gpx)
  • a resource file containing a PNG image visualization of the route (e.g. route://foot-hiking-98.png)
  • a resource file containing a HTML interactive visualization of the route (e.g. ui://foot-hiking-98.html) that can be directly opened with your browser
  • 📌 Search for Points of Interest (POIs) in an area
  • Arguments:
  • bounding_box_coordinates (list[list[float]]): coordinates defining a bounding box as [[min_lon, min_lat], [max_lon, max_lat]]
  • filters_name (list[string]): optional list of names to filter POIs, e.g. ["Gas station", "Restaurant"]
  • Returns: found POIs information
  • 🔎 Search for known routes close to a given start and end coordinates, this enables to suggest waypoints to go through known trails when creating a route. It is only working in Switzerland for now thanks to the Swiss Confederation [api3.geo.admin.ch 🇨🇭](https://api3.geo.admin.ch)
  • Arguments:
  • route_type (string): Type of route, e.g. "cycling-mountain", "cycling-regular", "foot-hiking", "driving-car"
  • from_coordinates (list[float]): Starting location as [longitude, latitude]
  • from_coordinates (list[float]): Destination location as [longitude, latitude]
  • Returns: known trails trace and description when available to help the agent build a nice route
  • ⏱️ Computes the area that can be reached within a given time or distance from one or more starting points.
  • Arguments:
  • coordinates_list: 1 or more coordinates to compute reachable area from as [[lon, lat], ...]
  • route_type: Type of route, e.g. "cycling-mountain", "cycling-regular", "foot-hiking", "driving-car"
  • range_type: Type of range, either time (in seconds) or distance (in metres)
  • area_range: maximum range value of the analysis in seconds for time and metres for distance. Or a comma separated list of specific range values
  • Returns: Reachable area information in GeoJSON format

🗃️ Available Resources

  • 🚏 Route files
  • URL pattern: route://{filename}
  • Type: GPX (.gpx), HTML (.html), or PNG (.png)
  • Description: Returns a previously generated route file by filename.
  • Produced by: create_route_from_to tool

🔌 Connect client to MCP server

Follow the instructions of your client, and use the /mcp URL of your deployed server (e.g. http://localhost:8888/mcp)

For example, for GitHub Copilot in VSCode, to add a new MCP server through the VSCode UI:

  • Open side panel chat (ctrl+shift+i or cmd+shift+i), and make sure the mode is set to Agent in the bottom right
  • Open command palette (ctrl+shift+p or cmd+shift+p), and search for MCP: Open User Configuration, this will open a mcp.json file
⌨️ Use stdio transport

[!IMPORTANT]

Login with GitHub to openrouteservice.org and get an API key that you can provide through the OPENROUTESERVICE_API_KEY environment variable.

OPENROUTESERVICE_API_KEY=YYY uvx openroute-mcp

In VSCode mcp.json file you should have:

{

"servers": { "openroute-mcp": { "command": "uvx", "args": [ "openroute-mcp" ], "env": { "OPENROUTESERVICE_API_KEY": "YOUR_API_KEY" } } } }

[!IMPORTANT]

Click on Start just on top of "openroute-mcp" to start the connection to the MCP server.

You can click the wrench and screwdriver button 🛠️ (Configure Tools...) to enable/disable specific tools

Full details of the CLI options:

usage: openroute-mcp [-h] [--http] [--port PORT] [--openroute-api OPENROUTE_API] [--openroute-api-key OPENROUTE_API_KEY]

[--data-folder DATA_FOLDER] [--no-save] [--no-img] [--no-html]

A Model Context Protocol (MCP) server for building routes using OpenRouteService.

options: -h, --help show this help message and exit --http Use Streamable HTTP transport --port PORT Port to run the server on --openroute-api OPENROUTE_API OpenRouteService API URL (default: https://api.openrouteservice.org) --openroute-api-key OPENROUTE_API_KEY OpenRouteService API key (default: taken from env var OPENROUTESERVICE_API_KEY) --data-folder DATA_FOLDER Folder to save generated routes --no-save Don't save generated routes to disk (also disable image and HTML generation) --no-img Do not add PNG image visualization of the routes to the response (image not supported by all LLMs) --no-html Do not add HTML interactive map for routes to the response

🧑💻 Development

Checkout the CONTRIBUTING.md page for more details on running in development and contributing.

问 PopNx