2,378 tokens across 9 tools — light (1–5K). Measured 2026-08-17 under methodology v1.0.
| server (self-reported) | memory-server v0.6.3 |
| status | measured |
| tokenizer | tiktoken / o200k_base |
| launch command | npx -y @modelcontextprotocol/server-memory@2026.7.4 |
| isolation | host process (no container) |
| env vars supplied | none |
| canonical SHA-256 | d028274f76dc9aa2e622ae02a17ce313aa65d7b5935254ca53889d4094238abb |
| category | official-reference |
| source | https://github.com/modelcontextprotocol/servers |
| tool | tokens | share | description | schema |
|---|---|---|---|---|
| search_nodes | 323 | 13.6% | 11 | 51 |
| open_nodes | 322 | 13.5% | 10 | 51 |
| create_entities | 294 | 12.4% | 8 | 111 |
| create_relations | 294 | 12.4% | 17 | 106 |
| read_graph | 291 | 12.2% | 5 | 24 |
| add_observations | 249 | 10.5% | 10 | 97 |
| delete_relations | 225 | 9.5% | 7 | 115 |
| delete_observations | 212 | 8.9% | 9 | 98 |
| delete_entities | 166 | 7.0% | 11 | 53 |
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.
| date | tokens | tools | change |
|---|---|---|---|
| 2026-08-16 | 2,378 | 9 | — |
| 2026-08-17 | 2,378 | 9 | no change |
Full series: results/history.csv.
npx -y mcp-context-cost verify results/memory/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.