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MCP Summarization Functions

An intelligent text summarization MCP server designed for AI workflows, providing intelligent summarization functions for command output, file content, and directory structure, and optimizing the context window management of AI agents.
2.5 points
45

What is the summary function?

The summary function is an MCP server designed to provide intelligent text summarization capabilities. It helps AI agents efficiently manage the context window by generating concise summaries to handle large volumes of output content.

Why do we need to use the summary function?

In modern AI systems, the text summarization function is crucial. By using the summary function, AI agents can process and understand large amounts of information more efficiently, avoiding performance degradation due to context window overload.

How to use the summary function?

The summary function provides a series of APIs and interfaces for easy integration into various AI systems. Users can choose different summary formats according to specific needs, including text, JSON, Markdown, or outlines.

Functional Features

Intelligent Text SummarizationAutomatically identify and extract key information to generate high - quality text summaries.
Multi - format SupportSupports multiple output formats to meet the needs of different scenarios.
Efficient ProcessingOptimize algorithms to ensure rapid summary generation without affecting system performance.

Advantages and Limitations

How to use the summary function?

Installation and Configuration
First, download and install the summary function server. Perform basic configuration according to the documentation, and set the API key and endpoint.
Integrate into AI Systems
Integrate the summary function API into the existing AI agent and obtain summary results by calling relevant interfaces.

Usage Examples

Frequently Asked Questions

What will happen if the summary function is not used?
Can the summary format be customized?

Related Resources

Smithery Documentation
Learn more about Smithery and its ecosystem.
GitHub Repository
View the source code and contribute.
Installation
Copy the following command to your Client for configuration
{
		"mcpServers": {
				"MUST_USE_summarization": {
						"command": "node",
						"args": ["path/to/summarization-functions/build/index.js"],
						"env": {
								"PROVIDER": "ANTHROPIC",
								"API_KEY": "your-api-key",
								"MODEL_ID": "claude-3-5-sonnet-20241022",
                "MCP_WORKING_DIR": "default_working_directory"
						}
				}
		}
}
Note: Your key is sensitive information, do not share it with anyone.
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