Summarization Functions

Name: Summarization Functions
Author: Braffolk

@Braffolk

代码仓库

关于 Summarization Functions

Provides summarised output from various actions that could otherwise eat up tokens and cause crashes for AI agents

#mcp #cline #model-context-protocol #mcp-server

基本信息

分类

其他

传输方式

stdio

发布者

Braffolk

配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Summarization Functions?

An MCP server that provides intelligent text summarization for AI agents, primarily developed to enhance context window management and prevent overflow. It integrates with the Model Context Protocol and supports multiple AI providers (Anthropic, OpenAI, OpenAI-compatible, Google).

How to use Summarization Functions?

Install via npm i mcp-summarization-functions, then add the server to your MCP configuration file with required environment variables (PROVIDER and API_KEY). Use tools like summarize_command, summarize_files, summarize_directory, summarize_text, and get_full_content.

Key features of Summarization Functions

Command output summarization with execution.
File content analysis with technical accuracy.
Directory structure overview with recursion.
Flexible model support across providers.
AI agent context optimization with caching.

Use cases of Summarization Functions

Summarizing large command outputs to prevent AI agent context overflow.
Analyzing file contents focused on security, API surface, or errors.
Getting quick overviews of complex directory structures.
Summarizing arbitrary text like logs, errors, or API responses.

FAQ from Summarization Functions

What AI providers are supported?

Anthropic (Claude), OpenAI (GPT), OpenAI‑compatible (e.g., Azure), and Google (Gemini).

How is it used with AI agents?

Include the provided “CONTEXT MANAGEMENT” prompt in agent instructions to mandate summarization for all large outputs (commands, files, directories, etc.).

What tools does the server expose?

summarize_command, summarize_files, summarize_directory, summarize_text, and get_full_content.

What environment variables are required?

PROVIDER (e.g., ANTHROPIC) and API_KEY. Optional: MODEL_ID, PROVIDER_BASE_URL, MAX_TOKENS, SUMMARIZATION_CHAR_THRESHOLD, SUMMARIZATION_CACHE_MAX_AGE, and MCP_WORKING_DIR.

Is there a caching mechanism?

Yes; summarized content is cached with a default maximum age of 1 hour (SUMMARIZATION_CACHE_MAX_AGE). Full content is stored for later retrieval via get_full_content.