
Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
Knowledge Management · Developer Tools

Braffolk/MCP-summarization-functions
A powerful MCP server that provides intelligent summarization capabilities through a clean, extensible architecture. Built with modern TypeScript and designed for seamless integration with AI workflows.
npx -y @smithery/cli install mcp-summarization-functions --client claude{
"mcpServers": {
"MUST_USE_summarization": {
"command": "node",
"args": [
"<value>"
],
"env": {
"PROVIDER": "<PROVIDER>",
"API_KEY": "<API_KEY>",
"MODEL_ID": "<MODEL_ID>",
"MCP_WORKING_DIR": "<MCP_WORKING_DIR>"
}
}
}
}PROVIDERAPI_KEYMODEL_IDMCP_WORKING_DIRPROVIDER_BASE_URLOPENAI_API_KEYCommand Output Summarization Execute commands and get concise summaries of their output
File Content Analysis Summarize single or multiple files while maintaining technical accuracy
Directory Structure Understanding Get clear overviews of complex directory structures
Flexible Model Support Use models from different providers
AI Agent Context Optimization Prevent context window overflow and improve AI agent performance through intelligent summarization
PROVIDER
AI provider to use.
API_KEY
API key for the selected provider
MODEL_ID
Specific model to use (defaults to provider's standard model)
PROVIDER_BASE_URL
Custom API endpoint for OpenAI-compatible providers
MAX_TOKENS
Maximum tokens for model responses (default: 1024)
SUMMARIZATION_CHAR_THRESHOLD
Character count threshold for when to summarize (default: 512)
SUMMARIZATION_CACHE_MAX_AGE
Cache duration in milliseconds (default: 3600000 - 1 hour)
MCP_WORKING_DIR
fallback directory for trying to find files with relative paths from
summarize_command
Execute and summarize command output.
summarize_files
Summarize file contents.
summarize_directory
Get directory structure overview.
summarize_text
Summarize arbitrary text content.
get_full_content
Retrieve the full content for a given summary ID.
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

1Panel-dev/MaxKB
MaxKB = Max Knowledge Brain, it is an open-source platform for building enterprise-grade agents. MaxKB integrates Retrieval-Augmented Generation (RAG) pipelines, supports robust workflows, and provides advanced MCP tool-use capabilities.

bytedance/UI-TARS-desktop
TARS is ByteDance's multimodal AI agent stack, shipping two projects: Agent TARS (a CLI and Web UI agent built on MCP) and UI-TARS-desktop (a desktop GUI agent).

supermemoryai/supermemory
State-of-the-art memory and context engine for AI.

topoteretes/cognee
Cognee - The Free Open-Source AI Memory Platform for Agents.

makenotion/notion-mcp-server
For the best experience, use Remote Notion MCP, our official hosted MCP server. This repository is a separate, self-hosted MCP server implementation that is no longer actively maintained or supported. Please use Remote Notion MCP instead.

cyberagiinc/devdocs
[!WARNING] DevDocs Status: Not publicly maintained. Enhanced internal version at CyberAGI — public release coming soon. If you have any questions please reach out to info@cyberagi.ai.