mcp-context-cost

filesystem — context cost

2,823 tokens across 14 tools — light (1–5K). Measured 2026-09-16 under methodology v1.0.

An Anthropic request carries 1,665 of those tokens as tool definitions, and Claude counts those at 3,115.

   
server (self-reported) secure-filesystem-server v0.2.0
status measured
tokenizer tiktoken / o200k_base
launch command npx -y @modelcontextprotocol/server-filesystem /tmp
isolation docker · public.ecr.aws/docker/library/node:22-slim · network bridge · linux/amd64 · network enabled for package fetch; clean FS, no host credentials
env vars supplied none
canonical SHA-256 245b04832111268c3fcc72543af89fb2f8c109d8306c1b5b8c49dc45977e41e1
category official-reference
source https://github.com/modelcontextprotocol/servers

Where the tokens are

tool tokens share description input schema output schema
read_media_file 290 10.3% 47 34 167
read_text_file 256 9.1% 97 78 39
edit_file 245 8.7% 35 118 39
search_files 218 7.7% 79 60 39
read_multiple_files 210 7.4% 58 71 39
directory_tree 202 7.2% 72 51 39
list_directory_with_sizes 201 7.1% 56 62 39
move_file 192 6.8% 57 43 39
read_file 179 6.3% 19 78 39
create_directory 177 6.3% 51 34 39
write_file 174 6.2% 39 43 39
list_directory 166 5.9% 53 34 39
get_file_info 162 5.7% 47 34 39
list_allowed_directories 149 5.3% 41 24 39

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 2,823 the badge number — every byte tools/list returned
o200k, Anthropic fields only 1,665 41.0% of the capture is MCP-only metadata
Claude, same fields 3,115 1.10× 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
2026-08-16 2,823 14 not recorded not recorded —
2026-08-18 2,823 14 not recorded docker no change
2026-09-04 2,823 14 0.2.0 docker no change
2026-09-16 2,823 14 0.2.0 docker no change

Some of these sweeps predate the isolation column, so the conditions they were measured under are not on record.

Full series: results/history.csv.

Re-derive it

npx -y mcp-context-cost verify results/filesystem/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