About 百度地图 MCP Server
Baidu Map MCP Server is an open-source, MCP-compliant location service exposing geocoding, POI search, route planning, weather and traffic APIs. It targets developers and AI agents building travel, logistics or smart city applications.
Key features
- 01Geocoding and reverse geocoding
- 02POI search and place details
- 03Driving, walking, cycling and transit routing
- 04Real-time weather and road traffic queries
- 05IP-based city location
- 06Official Python and TypeScript SDKs
Use cases
- 01Building a travel planning assistant that recommends sights and routes
- 02Computing batch route durations for logistics or delivery
- 03Giving an LLM location-aware suggestions based on traffic and weather
MCP support
This project is an MCP server that exposes its map capabilities as MCP tools, such as map_geocode and map_directions, to any MCP-compliant client, LLM or agent platform.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y @baidumap/mcp-server-baidu-mapBAIDU_MAP_API_KEYSecretLocal servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
10Saved tool list · updated 2w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| address | string | Yes | Address to resolve (supports up to 84 bytes. Two formats are accepted: 1. A standard structured address, such as No. 10, Shangdi 10th Street, Haidian District, Beijing【recommended; the more complete the address structure, the higher the resolution accuracy】2. An intersection description in the format “* Road and * Road intersection”, such as the intersection of North 1st Ring Road and Fuyang Road. The second format does not always return a result; it only returns one when that address description exists in the address database.) |
Details
From the project README🚀 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 global 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.
🚀 Advanced Use Cases
-
Travel Planning Assistant:
Usemap_search_places,map_directions, andmap_weatherto build an agent that plans optimal sightseeing routes, checks weather, and recommends POIs. -
Batch Route Matrix:
Usemap_directions_matrixto calculate multiple routes and durations for logistics or delivery optimization. -
Text-to-POI Extraction:
Usemap_poi_extractto extract POIs from user input or travel notes (requires advanced permission). -
Real-time Traffic & Weather-aware Navigation:
Combinemap_road_trafficandmap_weatherfor 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.
⛰️ Advanced Tutorials
- Geocoding API Guide
- POI Search API Guide
- Route Planning API Guide
- MCP Integration Guide
- SDK Development Guide
👩👩👧👦 Contributors
🌟 Star History
📄 License
MIT © baidu-maps
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.