MCP Summarization Functions
An MCP server that provides intelligent text summarization functions for AI agents, optimizing context window management and improving AI work efficiency
rating : 2.5 points
downloads : 5.9K
What is the MCP Summary Function Server?
The MCP Summary Function Server is a powerful tool that helps AI assistants work more efficiently by generating concise and useful summaries through executing commands, analyzing files and directories, etc.How to use the MCP Summary Function Server?
Simply configure the server and call the corresponding API to generate the required summaries.Applicable Scenarios
It is suitable for situations where you need to quickly understand complex data or command outputs, such as file system analysis and API response processing.Main Features
Command Output Summary
Execute commands and generate concise result summaries.
File Content Analysis
Summarize one or more files while maintaining technical accuracy.
Directory Structure Overview
Provide a clear view of complex directory structures.
Arbitrary Text Summary
Generate summaries for any input text.
Advantages
Reduce context overflow and improve the efficiency of AI assistants
Generate focused analysis and enhance response quality
Optimize resource usage and reduce operating costs
Limitations
Rely on external APIs, which may incur additional costs
For very large datasets, the summaries may not be detailed enough
How to Use
Install the Server
Install the server via npm or add the server to your MCP configuration file.
Configure Environment Variables
Set necessary environment variables such as API keys and model IDs.
Call the API
Use the provided function interfaces to generate summaries.
Usage Examples
Example 1: Command Output Summary
Generate a summary of the Git commit history.
Example 2: File Content Analysis
Analyze the key configuration files in the project.
Frequently Asked Questions
How to choose the appropriate model?
Will the summary affect the integrity of the original data?
Related Resources
Official Documentation
Detailed installation and usage guides.
GitHub Repository
Source code and contribution guides.

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