mesa-anyjev¶
Repo: idss-mesa/mesa-anyjev · Language: Python 3.11+ · Registered as: (none — it is a plugin inside mesa-mcp)
mesa-anyjev is not a standalone MCP server. It turns the choices MESA makes on the way
to an AVU (which ontology, which candidate term, which value, keep or drop) into fixed
AnyJev questions answered from one prefill
of an open model's logits, with a calibrated probability and an explicit level (raw, L0,
L1, L2) per decision. A reasoning model only plans; code does everything deterministic;
every decision is written to a sidecar next to the mesa-ducklake AVU
history before anything reaches iRODS.
What the installer does¶
It clones the repository into ~/.mesa/repos/mesa-anyjev and installs it editable into the
same venv as mesa-mcp, with AnyJev pinned to the commit the design was verified against.
mesa-mcp loads the plugin's tools through the mesa_mcp.tools entry point, so once
mesa-mcp's loader is merged the tools appear in every registered client without further
configuration:
| Tool | What it does |
|---|---|
mesa_decide_annotate |
decide and propose AVUs for a dataset card (no writes) |
mesa_decide_apply |
write accepted AVUs to iRODS and mirror them into the DuckLake; asks one question per open candidate group |
mesa_decide_explain |
every decision of a run with level, calibration and probability |
mesa_decide_feedback |
a curator's pick, reject or decline (authoritative; becomes labels) |
mesa_decide_health |
questions lock, provenance store, backend, promoted artifacts |
The default backend is the synthetic one (no model). To decide with a real model, point it at
the CARC gateway (MESA_ANYJEV_BACKEND__KIND=gateway and the tunnel; the gateway extra) or
at local weights on a CUDA host (the hf extra). See the
mesa-anyjev documentation for the configuration,
the decision graph, levels and policy, and the bench numbers.
~/.mesa/.venv/bin/mesa-anyjev doctor
~/.mesa/.venv/bin/mesa-anyjev annotate --card <dataset-card.md>
Machine-readable versions of this page: Markdown twin · raw source on GitHub · llms.txt · llms-full.txt (whole site). See For AI agents.