MCP Any Rest
M

MCP Any Rest

MCP-ANY-REST is a REST API connector based on the Model Context Protocol standard. It enables secure and efficient connection between AI models and business systems through the ZML configuration language, supporting service orchestration and token authentication.
2.5 points
6.3K

What is MCP-ANY-REST?

MCP-ANY-REST is a server based on the Model Context Protocol (MCP) standard. It allows large AI language models (such as ChatGPT, Claude, etc.) to securely access and manipulate the data of your business systems. Through a simple configuration file, you can expose any RESTful API for AI use without repeatedly developing interfaces for each AI model.

How to use MCP-ANY-REST?

Using MCP-ANY-REST is very simple: 1) Write a ZML configuration file to describe your API; 2) Start the MCP server; 3) Configure the connection in the AI tool. Your AI assistant can then access your business data just like accessing ordinary tools.

Applicable scenarios

Suitable for scenarios where an AI assistant needs to access enterprise internal systems, such as project management (ZenTao, Jira), customer relationship management (CRM), inventory systems, data analysis platforms, etc. It is particularly suitable for scenarios where enterprises want an AI assistant to help handle daily business queries and operations.

Main features

Declarative configuration (ZML)
Use ZML (Zero-cost Module Language) to describe API interfaces through a simple configuration file without writing code. The ZML syntax is intuitive and easy to understand, and it supports modular organization.
Secure token authentication
Supports a token-based authentication mechanism to ensure that AI has appropriate permissions and security controls when accessing your business systems.
Service orchestration
Provides unified interface management through ServiceComposer. Multiple APIs can be combined into a logical service to simplify AI usage.
MCP protocol compatible
Fully compliant with the Model Context Protocol standard and can be seamlessly integrated with any AI tool that supports MCP, such as Claude Desktop, Cursor, etc.
VSCode extension support
Provides a dedicated VSCode extension that supports ZML syntax highlighting and formatting to enhance the configuration writing experience.
Flexible deployment methods
Supports both HTTP and stdio transmission modes and can be deployed as an independent service or embedded in an existing application.
Advantages
One-time configuration, multiple uses: Configure an API interface once, and all AI tools that support MCP can use it.
Zero-code integration: There is no need to write adaptation code for each AI model, saving development time.
Secure and controllable: Through token authentication and permission control, ensure that AI can only access authorized data.
Standardized protocol: Based on the MCP standard, it has good compatibility with ecological tools.
High performance: Developed using Rust, it has fast response and low resource consumption.
Limitations
Requires REST API support: Only applicable to systems that provide REST interfaces.
Configuration learning curve: You need to learn the ZML configuration syntax.
Depends on the MCP protocol: Requires AI tools to support the MCP standard.
Limited complex business logic: Suitable for data queries and simple operations. Additional development may be required for complex business logic.

How to use

Install MCP-ANY-REST
Clone the project and build the binary file, or directly download the pre-compiled version.
Configure your API
Create a ZML configuration file in the config/zml/ directory to describe your REST API interfaces, parameters, and authentication methods.
Configure authentication information
Set authentication information such as API access tokens in environment variables or configuration files.
Start the MCP server
Start the server in HTTP or stdio mode and specify the configuration directory.
Configure in the AI tool
Add the MCP server configuration in your AI tool (such as Claude Desktop) and enter the server address and port.
Start using
In an AI conversation, you can now use your business API just like using an ordinary tool.

Usage examples

Project management assistant
Expose the API of the ZenTao project management system to AI through MCP-ANY-REST, allowing the AI assistant to help manage project tasks.
Customer service assistant
Connect to the CRM system, allowing the AI assistant to quickly query customer information and historical interaction records.
Data reporting assistant
Connect to the enterprise's internal data analysis API, allowing the AI assistant to generate simple business reports.

Frequently asked questions

What authentication methods does MCP-ANY-REST support?
Do I need to modify the code of the existing system?
Is the ZML configuration complex? Are there any examples to refer to?
Which AI tools are supported?
How is data security ensured?
What is the performance like? How many concurrent requests can it support?

Related resources

ZML language specification
Complete documentation on ZML syntax and configuration specifications
Quick start guide
A step-by-step guide to configuring your first MCP-ANY-REST service
GitHub repository
Project source code and the latest version
Model Context Protocol official website
Official documentation and specifications for the MCP protocol
VSCode extension installation
ZML syntax highlighting and formatting extension
Example configuration file
A complete configuration example for the ZenTao project management system

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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