百度地图

什麼是百度地圖？

百度地圖是一個核心API服務，完全兼容MCP協議，使其成為中國首個支持該協議的地圖服務提供商。

如何使用百度地圖？

要使用百度地圖，您需要在百度地圖開放平台上創建一個服務器端API密鑰（AK），然後使用Python或TypeScript SDK集成該API。

百度地圖的主要特點

• 提供8個核心API接口，包括地理編碼、反向地理編碼、地點搜索、路線規劃和天氣查詢。
• 支持與兼容MCP協議的智能助手集成。

百度地圖的使用案例

1. 將地址轉換為坐標（地理編碼）。
2. 檢索有關興趣點（POI）的詳細信息。
3. 規劃駕駛、步行或公共交通的路線。
4. 根據位置查詢當前天氣。

百度地圖常見問題

• 什麼是MCP協議？

  MCP協議是一種將各種服務和工具統一集成的標準。更多詳細信息可以在官方MCP文檔中找到。

• 使用百度地圖API需要費用嗎？

  百度地圖API的使用費用可能會有所不同；請查看百度地圖開放平台以獲取定價詳情。

• 我該如何排查API問題？

  您可以參考官方文檔或社區論壇以獲取故障排除提示。

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🚀 Introduction

Baidu Map MCP Server is a fully MCP-compliant, open-source Location-Based Service (LBS) solution, providing a comprehensive suite of geospatial APIs and tools for developers and AI agents. As the first map service provider in China to support the Model Context Protocol (MCP), Baidu Map MCP Server bridges the gap between large language models (LLMs), AI agents, and real-world location data and services.

With Baidu Map MCP Server, you can easily empower your applications, LLMs, and agents with advanced mapping, geocoding, POI search, route planning, weather, traffic, and more — all via standardized, developer-friendly MCP interfaces.

Key Features:

• Full MCP Protocol Support: Seamless integration with any MCP-compliant agent, LLM, or platform.
• Rich LBS Capabilities: Geocoding, reverse geocoding, POI search, route planning (driving, walking, cycling, transit), weather, IP location, real-time traffic, and more.
• Cross-Platform SDKs: Official Python and TypeScript SDKs, easy CLI and cloud deployment.
• Enterprise-Grade Data: Powered by Baidu Maps' authoritative, up-to-date geospatial data.
• High Performance & Stability: Recommended SSE (Server-Sent Events) access for low latency and high reliability.
• Open Source & Extensible: MIT licensed, easy to customize and extend.

Whether you are building a travel assistant, logistics platform, smart city solution, or an LLM-powered agent, Baidu Map MCP Server provides the essential geospatial intelligence and tools you need.

The MCP Server architecture enables:

• Seamless AI Integration: Allows LLMs and agents to understand and process location data naturally
• Contextual Understanding: Provides rich geospatial context for more intelligent decision-making
• Standardized Interfaces: Consistent API design following MCP principles for easy integration
• Scalable Implementation: Suitable for projects of any size, from small applications to enterprise solutions

Whether you're building a navigation app, delivery service, smart city solution, or enhancing an AI agent with location awareness, Baidu Map MCP Server provides the tools and infrastructure you need to succeed.

🛠️ Supported Tools & APIs

Baidu Map MCP Server provides the following MCP-compliant APIs (tools):

Tool Name	Description
map_geocode	Convert address to geographic coordinates.
map_reverse_geocode	Get address, region, and POI info from coordinates.
map_search_places	Search for POIs by keyword, type, region, or within a radius.
map_place_details	Get detailed info for a POI by its unique ID.
map_directions_matrix	Batch route planning for multiple origins/destinations (driving, walking, cycling).
map_directions	Plan routes between two points (driving, walking, cycling, transit).
map_weather	Query real-time and forecast weather by region or coordinates.
map_ip_location	Locate city and coordinates by IP address.
map_road_traffic	Query real-time traffic conditions for roads or regions.
map_poi_extract*	Extract POI info from free text (requires advanced permission).

*Some advanced features require additional permissions. See Authorization for details.

All APIs follow the MCP protocol and can be called from any MCP-compliant client, LLM, or agent platform.

⚡ Quick Start

1. Get Your API Key

Register and create a server-side API Key (AK) at Baidu Maps Open Platform. Be sure to enable “MCP (SSE)” service for best performance.

2. Python Integration

Install the SDK:

pip install mcp-server-baidu-maps

Run as a script:

python -m mcp_server_baidu_maps

Configure in your MCP client (e.g., Claude, Cursor):

{
  "mcpServers": {
    "baidu-maps": {
      "command": "python",
      "args": ["-m", "mcp_server_baidu_maps"],
      "env": {
        "BAIDU_MAPS_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

3. Node.js/TypeScript Integration

Install:

npm install @baidumap/mcp-server-baidu-map

Configure in your MCP client:

{
  "mcpServers": {
    "baidu-map": {
      "command": "npx",
      "args": [
        "-y",
        "@baidumap/mcp-server-baidu-map"
      ],
      "env": {
        "BAIDU_MAP_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

4. Recommended: Use SSE for low-latency, stable access

See SSE Quickstart.

5. More Platforms

• Claude/Agent/千帆AppBuilder: See README_zh.md for detailed integration guides and advanced configuration.

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🚀 Advanced Use Cases

• Travel Planning Assistant:
  Use map_search_places, map_directions, and map_weather to build an agent that plans optimal sightseeing routes, checks weather, and recommends POIs.

• Batch Route Matrix:
  Use map_directions_matrix to calculate multiple routes and durations for logistics or delivery optimization.

• Text-to-POI Extraction:
  Use map_poi_extract to extract POIs from user input or travel notes (requires advanced permission).

• Real-time Traffic & Weather-aware Navigation:
  Combine map_road_traffic and map_weather for dynamic, context-aware travel suggestions.

• Integration with Claude, Qianfan, AppBuilder:
  Seamlessly connect Baidu Map MCP Server to LLMs and agent frameworks for natural language geospatial reasoning.

See README_zh.md for more detailed Chinese documentation, configuration, and examples.

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⛰️ Advanced Tutorials

• Geocoding API Guide
• POI Search API Guide
• Route Planning API Guide
• MCP Integration Guide
• SDK Development Guide

👩‍👩‍👧‍👦 Contributors

<a href="https://github.com/baidu-maps/mcp/graphs/contributors"> <img src="https://contrib.rocks/image?repo=baidu-maps/mcp&max=400&columns=20" width="200"/> </a>

🌟 Star History

📄 License

MIT © baidu-maps