Free Tool

Your MCP Servers Have a
Hidden Token Tax

Every MCP server injects its full tool schema into every single message you send. That overhead compounds fast. Calculate yours.

72% of one team's context window was consumed by just 3 MCP servers Apideck, 2026
32× token overhead vs CLI for the same operation Scalekit, 2026
15–20K tokens of tool schemas loaded on every turn MindStudio, 2026
Calculator

Calculate Your MCP Token Tax

Select the MCP servers you run, adjust your usage, and see the real cost. Then see what jMRI structured retrieval does to that number.

Your Connected MCP Servers

80
6
$5.00
How we estimate: Token counts per server are based on published schema measurements. Each tool typically costs 550–1,400 tokens for its name, description, JSON schema, and parameter definitions. Counts are conservative estimates — your actual overhead may be higher if servers expose verbose descriptions. Sources: MindStudio, Apideck/DEV.to, The New Stack.

Your Token Tax

Schema overhead per turn
0
0 tokens × loaded every message
Monthly token waste
0
$0.00 / month burned on tool definitions
200K Context Window Usage 0% consumed by schemas
What's left for your actual conversation, code, and reasoning

With jMRI Structured Retrieval

Retrieval cost per query
~480
tokens — search + retrieve one symbol
Your estimated annual savings
$0
replacing schema overhead with targeted retrieval

Stop Paying the Token Tax

jCodeMunch, jDocMunch, and jDataMunch implement the jMRI specification — the open standard for token-efficient context retrieval. Instead of dumping entire files into your context window, retrieve exactly the symbol, section, or schema you need. Four operations. ~480 tokens. 95%+ savings.

Install jCodeMunch (Free) View Pricing Read the jMRI Spec