S

Summarization

An intelligent text summarization MCP server designed for AI workflows, providing intelligent summarization functions for command output, file content, and directory structure
2.5 points
42

What is the MCP Summarization Function Server?

The MCP Summarization Function Server is a powerful tool that enhances the efficiency of AI agents through intelligent summarization. It reduces the risk of context overflow and ensures better performance of AI agents when handling complex tasks.

How to use the MCP Summarization Function Server?

You can start using it in just a few simple steps. First, install the server, then integrate it into your AI agent, and finally, perform summarization operations as needed.

Applicable Scenarios

It is suitable for any scenario that requires efficient processing of large amounts of text data, such as code review, file analysis, and API response processing.

Main Features

Command Output SummarizationProvide a concise and meaningful summary of command execution results.
File Content AnalysisProvide technically accurate summaries of single or multiple files.
Directory Structure OverviewClearly display complex directory structures.
Arbitrary Text SummarizationGenerate summaries for any type of text.
Get Full ContentRetrieve the full original content through the summary ID.

Advantages and Limitations

Advantages
Reduce failure rate and prevent context overflow.
Improve response quality and focus on relevant summaries.
Enhance efficiency, maintain important context while reducing noise.
Optimize resource management, save resources through intelligent caching and retrieval.
Flexible integration, support multiple AI providers and configuration options.
Limitations
Some advanced features may depend on specific AI models.
Initial setup may require certain technical background knowledge.

How to Use

Install the Server
Install the server via NPM or use the Smithery CLI for quick deployment.
Configure Environment Variables
Set the necessary API keys and other configuration parameters.
Integrate into AI Agent
Add the MCP server to the context of the AI agent and follow the mandatory summarization rules.

Usage Examples

Code Repository AnalysisAnalyze the security and dependencies of an open - source project repository on GitHub.
API Response SummarizationSimplify large - scale JSON data returned by an API.

Frequently Asked Questions

How to determine if summarization is needed?
Does it support multi - language summarization?

Related Resources

Official Documentation
Detailed installation and usage guide.
GitHub Code Repository
Source code and contribution guide.
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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