mcp-context-cost

fetch — context cost

238 tokens across 1 tools — lean (< 1K). Measured 2026-09-04 under methodology v1.0.

An Anthropic request carries 238 of those tokens as tool definitions, and Claude counts those at 700.

   
server (self-reported) mcp-fetch v1.29.1
status measured
tokenizer tiktoken / o200k_base
launch command uvx --with "mcp\<2" mcp-server-fetch
isolation docker · ghcr.io/astral-sh/uv:python3.12-bookworm-slim · network bridge · architecture not on record · network enabled for package fetch; clean FS, no host cred
env vars supplied none
canonical SHA-256 5d0a1b56f6c08786d7d764b6f4376fba201015e5a5995b6b39c14350bd4aeeb3
category official-reference
source https://github.com/modelcontextprotocol/servers

Where the tokens are

tool tokens share description input schema
fetch 236 99.2% 60 165

Each tool is tokenized on its own, so the parts do not sum exactly to the whole: the array adds its own brackets and commas, and the tokenizer merges tokens across object boundaries. The badge number is always the count of the whole array, never a sum of parts.

What this costs on Claude

Measured 2026-09-14 against claude-opus-5 via Anthropic’s count_tokens (method tools-delta/v1).

  tokens  
o200k, full capture 238 the badge number — every byte tools/list returned
o200k, Anthropic fields only 238 0.0% of the capture is MCP-only metadata
Claude, same fields 700 2.94× the badge number

An Anthropic tool definition carries name, description, and input_schema and nothing else, so title, annotations, outputSchema, execution, and icons are dropped before the request — that is the second row. The third row is the same tools counted by Anthropic, which is larger than the second because Anthropic’s tokenizer is denser on this content than o200k_base and the API adds its own framing (at most 328 tokens of it fixed, measured against a single minimal tool). The two effects run in opposite directions, which is why the Claude number is not a fixed multiple of the badge.

Over time

date tokens tools release measured in change
2026-08-18 238 1 not recorded docker —
2026-09-02 238 1 not recorded docker no change
2026-09-04 238 1 1.29.1 docker no change

Full series: results/history.csv.

Re-derive it

npx -y mcp-context-cost verify results/fetch/measurement.json

That re-tokenizes the published capture and checks the count and the hash. If it disagrees with the badge, the badge is wrong — open an issue and it gets corrected.

Badge JSON · All servers · Leaderboard · Methodology