mcpcost

io.github.ysydhc/team-memory

TeamMemory

Team experience database - let AI accumulate, retrieve and apply team knowledge across chats.

alive probed 2026-10-14

13tools
5.2ktokens in Claude Opus 5.5
5.3ktokens in Claude Code
2.6 %of a 200k context window
2.9ko200k_base estimate
10.6 sto initialize
646 msto list tools
Run it
uvx team_memory==0.1.2 (stdio, probed in a container with the network off)
Host
pypi.org
Reports itself as
team_memory 4.1.0
Capabilities
logging, prompts, resources, tools
Instructions
1 147 characters
Claude count
Claude Opus 5.5, measured 2026-10-14. Counted again when the tool definitions change. Method.
Repository
https://github.com/ysydhc/team_memory
Registry
active, updated 2026-02-26 · registry entry
Reachable
1 of the last 1 probe

Most expensive tools

ToolTokens (o200k)Share of this server
tm_save_typed64722 %
tm_save_group40514 %
tm_save34712 %
tm_solve27910 %
tm_suggest2539 %

Badge and feed

mcpcost: alive

[![mcpcost](https://mcpcost.ulehla.dev/badge/io.github.ysydhc/team-memory.svg)](https://mcpcost.ulehla.dev/s/io.github.ysydhc/team-memory)

An entry for every probe that changed the result, the tool count or the token cost: Atom feed. Add it to a feed reader or a Slack RSS app to hear when the server stops answering or its tool set grows.