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.
rating : 2.5 points
downloads : 6.6K
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 Summarization
Automatically identify and extract key information to generate high - quality text summaries.
Multi - format Support
Supports multiple output formats to meet the needs of different scenarios.
Efficient Processing
Optimize algorithms to ensure rapid summary generation without affecting system performance.
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.

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
16.6K
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
14.8K
4.5 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
24.6K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
44.0K
4.3 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
19.2K
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
44.5K
4.5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
14.8K
4.5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
30.3K
4.8 points

