Monta MCP Server
MCP server that enables LLMs to interact with Monta's EV charging platform for managing charge points, charging sessions, and wallet operations.
README
Monta MCP Server
An MCP (Model Context Protocol) server that wraps the Monta Python SDK to provide LLM-friendly access to the Monta EV charging API.
Features
This MCP server exposes the following tools for interacting with Monta's EV charging platform:
Architecture Highlights
- Efficient session management: Uses FastMCP's lifespan pattern to maintain a single persistent aiohttp session
- Connection pooling: Reuses HTTP connections across all tool invocations for optimal performance
- Type-safe context: All tools access shared resources through strongly-typed lifespan context
- Proper cleanup: Automatically closes sessions on server shutdown
- Robust error handling: State-changing operations include input validation, timeout protection (10s), and comprehensive error logging
Charge Point Management
get_charge_points- List all available charging stations with paginationget_charge_point- Get detailed information about a specific charging station
Charging Operations
get_charges- View charging history/sessions with filtering optionsstart_charge- Start a charging session at a specific charge pointstop_charge- Stop an active charging session
Wallet & Payments
get_personal_wallet- View wallet balance and payment informationget_wallet_transactions- Get transaction history with filtering
Prerequisites
- Python 3.11 or higher
- Monta API credentials (client ID and client secret)
uvpackage manager (recommended) orpip
Installation
Using uv (recommended)
git clone <repository-url>
cd monta-mcp
uv sync
Using pip
git clone <repository-url>
cd monta-mcp
pip install -e .
Configuration
The server requires Monta API credentials set as environment variables:
export MONTA_CLIENT_ID="your_client_id"
export MONTA_CLIENT_SECRET="your_client_secret"
Getting Monta public API Credentials
Visit Monta Public API Portal and follow the guide
Usage
Running the Server
The server can be run directly:
# Using the installed script (default log: ./monta-mcp.log)
monta-mcp
# With custom log file location
monta-mcp --log-file /path/to/custom.log
# With custom log level
monta-mcp --log-level DEBUG
# Or using Python module
python -m monta_mcp
Command-line Options:
--log-file PATH- Path to log file (default:./monta-mcp.log)--log-level LEVEL- Logging level: DEBUG, INFO, WARNING, ERROR (default: INFO)
Testing with MCP Inspector
You can test the server using the MCP Inspector tool:
npx @modelcontextprotocol/inspector monta-mcp
This will open a web interface where you can:
- View all available tools
- Test tool calls with different parameters
- See responses from the Monta API
Integrating with Claude Desktop
Add this configuration to your Claude Desktop config file:
MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"monta": {
"command": "monta-mcp",
"env": {
"MONTA_CLIENT_ID": "your_client_id",
"MONTA_CLIENT_SECRET": "your_client_secret"
}
}
}
}
Or if using uv:
{
"mcpServers": {
"monta": {
"command": "uv",
"args": ["run", "monta-mcp"],
"env": {
"MONTA_CLIENT_ID": "your_client_id",
"MONTA_CLIENT_SECRET": "your_client_secret"
}
}
}
}
With custom log location:
{
"mcpServers": {
"monta": {
"command": "uv",
"args": ["run", "monta-mcp", "--log-file", "/Users/you/logs/monta.log"],
"env": {
"MONTA_CLIENT_ID": "your_client_id",
"MONTA_CLIENT_SECRET": "your_client_secret"
}
}
}
}
After adding the configuration, restart Claude Desktop. The Monta tools will be available in your conversations.
Example Usage in Claude
Once configured, you can ask Claude things like:
- "Show me all my charging points"
- "Get details for charge point 12345"
- "What's my recent charging history?"
- "Check my wallet balance"
- "Start charging at station 12345"
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。