
mcp-gateway
MCP Gateway - translate MCP tool-callings to HTTP requests
1
Github Watches
0
Github Forks
0
Github Stars
MCP Gateway
MCP (Model Context Protocol) Gateway can translate MCP tool callings to traditional HTTP API requests. It can provide a configurable way to get existing HTTP API to MCP territory.
Getting Started
Create config file from config.example.yaml
:
$ cp config.example.yaml config.yaml
Edit config.yaml
file, map all APIs to MCP tools.
Then start launch it with SSE transport:
$ uv run mcp-gateway
INFO: Started server process [15400]
INFO: Waiting for application startup.
INFO: Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:3001 (Press CTRL+C to quit)
Default is 3001.
Server Control
Change Port
Provide parameter --port=<port_no>
in command line will change the port to SSE transport.
Launch gateway with port 3002:
$ uv run mcp-gateway --port=3002
INFO: Started server process [15400]
INFO: Waiting for application startup.
INFO: Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:3002 (Press CTRL+C to quit)
stdio Transport
Provide parameter --transport=stdio
in command line will change the transport to stdio.
E.G.:
$ uv run mcp-gateway --transport=stdio
It's meaningless to manually launch gateway in stdio transport. You can configure in Cursor or Cline like:
{
"mcpServers": {
"mcp-gateway": {
"command": "uv",
"args": ["run", "mcp-gateway", "--transport=stdio"]
}
}
}
Or MCP Inspector with form values:
Item | Value |
---|---|
Transport Type | STDIO |
Command | uv |
Arguments | run mcp-gateway --transport=stdio |
Configuration File
There is two parts in configuration YAML, server
and tools
. server
defines the basic info for gateway server use. tools
defines the mapping from single MCP tool to HTTP API request.
server:
name: rest-amap-server
config:
apiKey: foo
tools:
- name: maps-geo
description: "将详细的结构化地址转换为经纬度坐标。支持对地标性名胜景区、建筑物名称解析为经纬度坐标"
args:
- name: address
description: "待解析的结构化地址信息"
required: true
- name: city
description: "指定查询的城市"
required: false
requestTemplate:
url: "https://restapi.amap.com/v3/geocode/geo?key={{.config.apiKey}}&address={{.args.address}}&city={{.args.city}}&source=ts_mcp"
method: GET
headers:
- key: x-api-key
value: "{{.config.apiKey}}"
- key: Content-Type
value: application/json
responseTemplate:
body: |
# 地理编码信息
{{- range $index, $geo := .Geocodes }}
## 地点 {{add $index 1}}
- **国家**: {{ $geo.Country }}
- **省份**: {{ $geo.Province }}
- **城市**: {{ $geo.City }}
- **城市代码**: {{ $geo.Citycode }}
- **区/县**: {{ $geo.District }}
- **街道**: {{ $geo.Street }}
- **门牌号**: {{ $geo.Number }}
- **行政编码**: {{ $geo.Adcode }}
- **坐标**: {{ $geo.Location }}
- **级别**: {{ $geo.Level }}
{{- end }}
Server
Item | Description |
---|---|
name | Server name |
config | Key/Value pairs that can be referenced by var {{.config.xxx}} in templates |
Tools
tools
is list of MCP tools mapping. Single tool props. are defined as follows:
Item | Description |
---|---|
name | Tool name (Function name), which is provided to LLM. |
description | Tool description through which LLM can understand what the tool could do. |
args | Arguments of tool (Function arguments). |
requestTemplate | Request mapping to target HTTP API. |
responseTemplate | Response mapping for response of target HTTP API. |
Single argument props. are defined as follows:
Item | Type | Description |
---|---|---|
name | Argument name, which is provided to LLM. | |
description | Argument description through which LLM can understand and decide what value should be filled. | |
required | Boolean | Required argument or not. |
Request template props. are defined as follows:
Item | Description |
---|---|
method | HTTP method |
url | Target HTTP API url template |
headers | HTTP headers |
HTTP headers are defined as follows:
Item | Description |
---|---|
key | Header key |
value | Header value template |
Response template props are defined as follows:
Item | Description |
---|---|
body | Response body template |
Contribution
All kinds of contribution are welcomed.
相关推荐
I find academic articles and books for research and literature reviews.
Confidential guide on numerology and astrology, based of GG33 Public information
Converts Figma frames into front-end code for various mobile frameworks.
Advanced software engineer GPT that excels through nailing the basics.
Take an adjectivised noun, and create images making it progressively more adjective!
Siri Shortcut Finder – your go-to place for discovering amazing Siri Shortcuts with ease
Discover the most comprehensive and up-to-date collection of MCP servers in the market. This repository serves as a centralized hub, offering an extensive catalog of open-source and proprietary MCP servers, complete with features, documentation links, and contributors.
Micropython I2C-based manipulation of the MCP series GPIO expander, derived from Adafruit_MCP230xx
Bridge between Ollama and MCP servers, enabling local LLMs to use Model Context Protocol tools
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
🧑🚀 全世界最好的LLM资料总结(Agent框架、辅助编程、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型) | Summary of the world's best LLM resources.
Reviews

user_gyydD1N8
I've been using the mcp-gateway by Timandes, and it has significantly streamlined my application development. The integration process is seamless, and the documentation is comprehensive. It's highly efficient and I appreciate the open-source nature of the project. Kudos to Timandes for such a fantastic tool! Check it out at https://github.com/Timandes/mcp-gateway.