Webapi MCP Server
W

Webapi MCP Server

A server that converts traditional Web APIs into MCP tools, supporting batch API registration and request header management, simplifying the docking between business systems and large models.
2.5 points
5.4K

What is the WebAPI MCP Server?

This is a middleware service that can quickly convert existing Web APIs into tools compliant with the Model Context Protocol (MCP). It acts as a bridge between traditional APIs and large models, allowing AI to directly call the interfaces of business systems to obtain real - time and accurate data.

How to use the WebAPI MCP Server?

Just follow three steps: 1) Install the service. 2) Configure the API definition file. 3) Start the service. Then you can directly call these APIs through the MCP client tool.

Applicable Scenarios

It is suitable for scenarios where enterprises need to open the capabilities of internal systems to AI, such as customer service automation, data query and analysis, business process triggering, etc. It is particularly suitable for enterprises that already have a mature API system but want to quickly access AI capabilities.

Main Features

Automatic API Conversion
Automatically convert any standard Web API into an MCP tool without writing additional code.
Dynamic Registration
Support dynamically adding or removing APIs at runtime without affecting service operation.
Batch Import
Support batch importing API definitions through JSON/Markdown files or an entire directory.
Request Header Management
Set global default request headers and support API - level custom headers.
Data Extraction
Support extracting specific data fields from complex API responses.
Advantages
Simple deployment without modifying the existing API system
More accurate and reliable data than the RAG mode
Fine - grained permission control capabilities
Support multiple API definition formats, flexible and easy to use
Limitations
Dependent on the availability and performance of the original API
Additional configuration of response extraction paths is required for complex APIs
Real - time performance is limited by the response speed of the original API

How to Use

Install the Service
Install the service package via npm or build from the source code.
Prepare API Definitions
Create API definition files in JSON or Markdown format to describe API endpoints, parameters, etc.
Start the Service
Specify the configuration file path and API definition directory to start the service.
Call the API
Call the registered APIs through the MCP client tool.

Usage Examples

Weather Query Service
Convert a third - party weather API into an MCP tool for AI assistants to call.
Customer Data Query
Convert the customer query API of the CRM system into an MCP tool.
Order Status Check
Convert the order query API of the e - commerce platform into an MCP tool.

Frequently Asked Questions

What is the difference between the MCP server and a traditional API gateway?
How to ensure the security of API calls?
What types of API parameters are supported?
How to restore registered APIs after the service crashes?

Related Resources

Official Documentation
Complete installation and usage guide
Example Repository
Configuration examples for various scenarios
MCP Protocol Specification
Official specification document of the Model Context Protocol
CSDN Technical Blog
Introduction to the technical principles of this project

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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