What platforms does Claude Mcp Server Gateway support?
It supports Claude Desktop (app), Claude Code (terminal), Cline, and Roo (VSCode extensions). Each platform uses a specific configuration file location.
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基本信息
Discover the power of the “CLGateway”, an the open-source Claude MCP Server Gateway (available on GitHub). Built for users of Claude Desktop, Claude API or Claude Code, this Python-based gateway smartly manages your MCP (Model Context Protocol) servers and dramatically slashes to
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"claude-mcp-server-gateway": {
"command": "/path/to/your/.venv/bin/python",
"args": [
"/path/to/claude-mcp-server-gateway/dcl_wrapper.py"
],
"env": {}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Claude Mcp Server Gateway is a Python MCP server gateway that loads MCP tools on demand instead of at startup, reducing token consumption. It integrates with Claude Desktop, Claude Code, Cline, and Roo, and works with any MCP server configured for those platforms.
Install via git, set up a Python 3.11+ virtual environment, install dependencies (mcp, python-dotenv), and configure API keys in a .env file. Then add the gateway as a single MCP server in your platform’s configuration file (e.g., claude_desktop_config.json, .claude.json, .mcp.json, or cline_mcp_settings.json) pointing to dcl_wrapper.py.
claude mcp add) for rapid setupIt supports Claude Desktop (app), Claude Code (terminal), Cline, and Roo (VSCode extensions). Each platform uses a specific configuration file location.
Instead of loading all MCP tool definitions (100+ tools) on startup, the gateway exposes only 3 tools. Tools are loaded on demand when Claude calls `load_mcp_tools` for a specific server.
Python 3.11+, the MCP Python SDK, and python-dotenv. The gateway uses a virtual environment and communicates over stdio with the host application.
There is a small delay on the first tool use (server startup), each MCP server connection is temporary, and no persistence exists between calls.
Edit `dcl_wrapper.py` and add an entry to the `MCP_SERVERS` dictionary with the `command`, `args`, `env`, and `description` fields. The API key should be read from the `.env` file.
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