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MCP Server Trfrmarket
This project includes an MCP server, an MCP client (proxy), a supporting question set, and a notebook for running the client. Related articles discuss the comparison between while loops and Perplexity and the development process of the MCP server.
rating : 2 points
downloads : 5.6K
What is the MCP Server?
The MCP Server is a backend service that facilitates communication between AI models and client applications. It manages model context, processes requests, and returns responses in a structured format.How to use the MCP Server?
The server runs as a background process, and clients can interact by connecting to this process. You only need to install Python and can start the server with a simple command.Use Cases
Suitable for building AI-driven applications where maintaining conversation context or chaining multiple model interactions is required.Key Features
Context Management
Maintain the context between conversation history and client requests.
Multi-client Support
Allow multiple clients to connect simultaneously and process requests.
Request Handling
Receive and return request responses in a structured format.
Advantages
Lightweight Architecture
Scalability
Flexibility
Usage Instructions
Install the necessary dependencies and start the server.
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Send a request to the server via the HTTP protocol.
Process the response returned by the server.
Frequently Asked Questions
How to maintain the conversation context?
What is the default port?
Does it support HTTPS?
Additional Resources
Medium: Can a While Loop Beat Perplexity?
An article about underlying concepts.
Medium: Building the MCP Server
Development stories and technical details.
GitHub Repository
Source code and issue tracking.
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