Schema | caveman-core-mcp

caveman-core-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Functions exposed to the LLM to take actions

Name	Description
compress_textA	Compress prose text using caveman rules. Removes articles, fillers, pleasantries, hedges. Preserves code blocks, URLs, paths, identifiers. Returns compressed text and character counts.

Interactive templates invoked by user choice

Name	Description
`caveman`	Activate caveman mode (full). LLM responds in compressed prose — drops articles, fillers, pleasantries while keeping full technical accuracy. Cuts output tokens ~65%.
`caveman_lite`	Activate caveman lite mode. Removes filler and hedging but keeps articles and full sentences. Professional and tight without fragments.
`caveman_ultra`	Activate caveman ultra mode. Maximum compression — strips conjunctions when meaning stays clear, one word when one word enough.

Contextual data attached and managed by the client

Name	Description
`Caveman Rules`	Full caveman compression ruleset. Inject into system prompt to activate token-efficient mode.
`Caveman Rules (lite)`	Lite caveman ruleset — removes filler/hedging, keeps articles and full sentences.
`Caveman Rules (ultra)`	Ultra caveman ruleset — maximum compression, one word when one word enough.

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/MatheusPCardoso/caveman-mcp'

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