What runtime or dependencies are required?
MCP Gateway runs via `uv`, requiring Python and the `uv` package manager to execute `uv run mcp-gateway`.
M
MCP Gateway
@Timandes
基本信息
关于 MCP Gateway
暂无概览
MCP Gateway 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-gateway-timandes": {
"command": "uv",
"args": [
"run",
"mcp-gateway"
]
}
}
}MCP Gateway 工具
14Tool name (Function name), which is provided to LLM.
Tool description through which LLM can understand what the tool could do.
Arguments of tool (Function arguments).
Request mapping to target HTTP API.
Response mapping for response of target HTTP API.
Boolean
HTTP method
Target HTTP API url template
HTTP headers
Header key
Header value template
Response body template
概览
What is MCP Gateway?
MCP Gateway is a server that translates Model Context Protocol (MCP) tool callings into traditional HTTP API requests, providing a configurable bridge to expose existing HTTP APIs through MCP.
How to use MCP Gateway?
Copy the example config file (config.example.yaml) to config.yaml, then edit it to map HTTP APIs to MCP tools. Launch the server with SSE transport using uv run mcp-gateway (default port 3001). For stdio transport, use --transport=stdio and configure it in Cursor, Cline, or MCP Inspector with command uv run mcp-gateway --transport=stdio.
Key features of MCP Gateway
- Translates MCP tool calls to HTTP API requests
- Configurable via YAML mapping file
- Supports SSE and stdio transport modes
- Allows dynamic config references with
{{.config.xxx}}templates - Customizable request and response templates
- Easily changeable server port via
--portparameter
Use cases of MCP Gateway
- Expose legacy REST APIs to AI agents using MCP
- Create MCP tools from any HTTP API without writing code
- Integrate existing web services into LLM-driven workflows
- Bridge internal microservices with MCP-compatible clients
常见问题
What transport protocols does MCP Gateway support?
The server supports SSE (default, on port 3001) and stdio transport, selectable with the `--transport` parameter.
How do I define a tool-to-API mapping?
Edit the `tools` section of `config.yaml` with tool name, description, arguments, a request template (URL, method, headers), and a response template for the HTTP API response.
Where does configuration data live?
All configuration is stored in a local YAML file (`config.yaml`) that you create from `config.example.yaml`. No external database is used.
Can I reference secrets or dynamic values in requests?
Yes, use Go‑template expressions like `{{.config.apiKey}}` and `{{.args.address}}` in the request template URL and headers. Static config values are defined under `server.config`.
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