caveman-core-mcp

caveman-core-mcp

MCP server that compresses LLM responses into caveman-style prose, reducing token usage by ~65% while maintaining technical accuracy.

Category
Visit Server

README

caveman-core-mcp

MCP server that teaches LLMs to respond in compressed caveman-style prose.
Cuts output tokens ~65% while keeping full technical accuracy. Zero external dependencies.

What it exposes

Prompts

Name Effect
caveman Full mode — drops articles, fillers, fragments OK
caveman_lite Lite mode — removes filler/hedging, keeps articles and full sentences
caveman_ultra Ultra mode — maximum compression, one word when one word enough

Resources

URI Content
caveman://rules Full ruleset text
caveman://rules/lite Lite ruleset text
caveman://rules/ultra Ultra ruleset text

Tools

Name Description
compress_text Post-process any text through the compression algorithm

Install

{
  "mcpServers": {
    "caveman": {
      "command": "node",
      "args": ["/path/to/caveman-core-mcp/src/index.js"]
    }
  }
}

Or with npx after publishing:

{
  "mcpServers": {
    "caveman": {
      "command": "npx",
      "args": ["caveman-core-mcp"]
    }
  }
}

Usage

Inject via prompt (recommended)

Use the caveman prompt at session start. The host sends the ruleset as context and the LLM adopts compressed mode for the rest of the session.

Inject via resource

Read caveman://rules and include the text in your system prompt manually.

Post-process text

Call the compress_text tool to strip filler from any already-generated text.

{
  "name": "compress_text",
  "arguments": {
    "text": "Sure! I'd be happy to help you with that. The issue you're experiencing is likely caused by a missing semicolon."
  }
}

Returns:

{
  "content": [{ "type": "text", "text": "Issue caused by missing semicolon." }],
  "_meta": { "before": 95, "after": 35, "savedPercent": 63 }
}

Requirements

  • Node.js >= 18
  • No npm dependencies

Origin

Based on caveman by Julius Brussee (MIT).

  • src/compress.js — derived from src/mcp-servers/caveman-shrink/compress.js
  • src/skill.js — derived from skills/caveman/SKILL.md
  • src/index.js — new standalone MCP server built on top of the above

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured