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Summarization Functions

Source

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

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Overview

Summarization Functions is a powerful MCP server that provides intelligent text summarization capabilities to manage context windows effectively for AI agents.

To use the Summarization Functions, install the package via npm and integrate it into your MCP configuration. Use the various summarization methods provided for command output, file contents, and directory structures.

  • Concise command output summarization. - Technical analysis of file contents. - Overview of complex directory structures. - Optimization for various AI agents to prevent context overflow. - Support for multiple AI providers for enhanced flexibility.
  1. Enhancing the performance of AI agents by managing context size.
  2. Summarizing lengthy command outputs to focus on critical information.
  3. Analyzing and summarizing multiple file contents for brevity.

Add to your AI client

Use these steps to connect Summarization Functions in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "mcp-summarization-functions-braffolk": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-summarization-functions-braffolk"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "mcp-summarization-functions-braffolk": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-summarization-functions-braffolk"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "mcp-summarization-functions-braffolk": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-summarization-functions-braffolk"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "mcp-summarization-functions-braffolk": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-summarization-functions-braffolk"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "mcp-summarization-functions-braffolk": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-summarization-functions-braffolk"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "mcp-summarization-functions-braffolk": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-summarization-functions-braffolk"
      ]
    }
  }
}

FAQ

Is it necessary to use summarization functions for AI agent operations?

Yes, it is essential to use summarization for all potentially large outputs to avoid context overflow.

Can I use different AI providers with this server?

Yes, the server supports multiple AI providers including Anthropic, OpenAI, and Google.

How can I configure the server?

Configuration requires setting environment variables for the chosen AI provider along with the API key and model ID.7:["$","div",null,{"className":"container mx-auto flex flex-col gap-4","children":["$L26","$L27",["$","$L28",null,{"currentProject":{"id":389,"uuid":"06083abf-f475-4271-a7a8-cfd344574060","name":"mcp-summarization-functions","title":"Summarization Functions","description":"Provides summarised output from various actions that could otherwise eat up tokens and cause crashes for AI agents","avatar_url":"https://avatars.githubusercontent.com/u/7544836?v=4","created_at":"2024-12-15T06:44:19.182Z","updated_at":"2024-12-16T06:52:36.508Z","status":"created","author_name":"Braffolk","author_avatar_url":"https://avatars.githubusercontent.com/u/7544836?v=4","tags":"mcp,cline,model-context-protocol,mcp-server","category":"developer-tools","is_featured":false,"sort":1,"url":"https://github.com/Braffolk/mcp-summarization-functions","target":"_self","content":"$29","summary":"$2a","img_url":"https://camo.githubusercontent.com/327cc34d22c78311204df42a6c71dfd13a270d587eb18ce0d85a845a4f510971/68747470733a2f2f62616467652e667572792e696f2f6a732f6d63702d73756d6d6172697a6174696f6e2d66756e6374696f6e732e737667","type":null,"metadata":null,"user_uuid":null,"tools":null,"sse_url":null,"sse_provider":null,"sse_params":null,"is_official":false,"server_command":null,"server_params":null,"server_config":null,"allow_call":false,"is_innovation":false,"is_dxt":false,"dxt_manifest":null,"dxt_file_url":null,"is_audit":false},"randomProjects":[],"currentServerKey":"$undefined"}]]}]

Developer tools
Summarization Functions MCP Server — MCP Registry