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A client service project based on SSE that supports message sending, historical query, and tool invocation.
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What is the Model Context Protocol (MCP) Server?
The MCP server is an intelligent system focused on handling complex queries and tool integration. It allows users to obtain real-time responses by sending requests and supports the invocation of various tools, such as search engines and data analysis tools.How to use the MCP server?
First, start the server, and then send queries or tool invocation instructions through HTTP requests. You can also view the history to track previous conversations.Applicable Scenarios
The MCP server is suitable for enterprise environments that need to efficiently handle complex tasks, such as knowledge management systems, customer service platforms, and automated analysis tools.Main Features
Real-time Message PassingAchieve real-time communication between the client and the server through SSE (Server-Sent Events).
Tool IntegrationSupport the embedded invocation of various external tools for easy function expansion.
History Record ManagementSave and retrieve past query records for subsequent reference.
Advantages and Limitations
Advantages
Powerful real-time interaction ability
Flexible tool integration options
Easily extensible functional modules
Limitations
It has a certain dependence on network stability
The initial setup may be slightly complicated
How to Use
Install and Start the Server
Run `uv run client.py http://localhost:8080/sse --api` to start the MCP server.
Send a Query Request
Use the `curl` command to send a request to the server.
Invoke an External Tool
Invoke a preset tool through a specific endpoint.
Usage Examples
Find Top AuthorsDemonstrate how to find the top authors in the AI field on O'Reilly and their representative works.
Invoke a Search ToolShow how to invoke the built-in search tool to find information on specific keywords.
Frequently Asked Questions
How to ensure the accuracy of query results?
Does it support offline mode?
Related Resources
Official Documentation
Detailed API documentation and technical support guide.
GitHub Code Repository
An open-source code repository. Contributions are welcome.
Video Tutorial
A quick-start video to help you get started quickly.
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