A

Agentic Ai MCP

An example project demonstrating a proxy AI application that uses an MCP server to connect to REST APIs, PostgreSQL databases, and document storage.
2 points
13

What is an MCP Server?

The MCP (Model Context Protocol) server is a middleware that allows different applications and services to communicate through a unified protocol. The MCP server can connect to various external services, such as REST APIs, databases, and document storage systems.

How to Use an MCP Server?

The MCP server can be set up through a simple configuration file and can be easily integrated into existing systems. Users only need to configure the information of relevant services as instructed to start using it.

Applicable Scenarios

The MCP server is suitable for enterprise - level application development that needs to integrate multiple different services, such as financial transaction processing and data analysis platforms.

Main Features

Support Multiple ProtocolsThe MCP server can seamlessly interface with multiple protocols, including HTTP, SQL, etc.
Flexible ConfigurationUsers can customize the behavior of the MCP server according to their own needs and adjust its behavior mode.

Advantages and Limitations

Advantages
Easy to integrate multiple services
Improve development efficiency
Limitations
May increase the complexity of the system
Limited support for high concurrency

How to Use

Install the UV Tool
First, make sure the UV tool is installed. This is an important component for managing the MCP server.
Create a Virtual Environment
To isolate project dependencies, it is recommended to create a virtual environment first.
Activate the Virtual Environment
Activate the virtual environment you just created.
Install Dependencies
Install the required dependencies through the `pyproject.toml` file.

Usage Examples

Example 1: Get Financial Transaction DataDemonstrate how to use the MCP server to extract financial transaction records from a database.
Example 2: Call a REST API InterfaceShow how to call a third - party REST API through the MCP server to obtain real - time data.

Frequently Asked Questions

How to add support for new services?
What to do if the connection fails?

Related Resources

Official Documentation
Detailed user manuals and technical documents.
GitHub Code Repository
An open - source code repository containing sample projects and contribution guidelines.
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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