digline-mcp
The MCP server for digline: it lets a coding agent read a digline result and measure a new one, and it does not let the agent promote a baseline.
Not because promotion is refused. Because there is no such tool.
The eight tools
| tool | what it does |
|---|---|
list_runs |
every stored run of a suite, newest first, with the baseline marked |
get_run |
one stored run — the verdicts, never the payload |
get_baseline |
the approved reference, same shape |
log |
which model answered, read down the stored runs; never a gate |
compare |
a run against the baseline: did it get worse? |
diff |
two runs, neither of them a reference: should I switch? |
explain |
one run read back as typed facts, with the exit code |
run |
execute the suite, with the call count acknowledged first |
promote is absent by construction, and so are migrate, view and
report. A baseline is an approved reference, and promote writes into
.digline/<tenant>/baselines/, which is committed — anything landing there
arrives in somebody's diff and must arrive because they put it there. A refusal
would be a conversation an agent could argue with; an absence is not.
The reasoning is ADR 0011, and the
judgement layer it turns into surface is AGENTS.md.
Install and configure
uv pip install digline-mcp
One server serves one repository: the perimeter is the repo, and multi-project is N named servers rather than a registry.
{
"mcpServers": {
"digline-northwind": {
"command": "digline-mcp",
"args": ["--root", "/Users/you/src/northwind"]
}
}
}
--tenant and --env are accepted and verify; they never override. The
suite decides, as it does everywhere else in digline.
What run costs, before it costs it
run takes a mandatory acknowledge_calls that must equal the suite's planned
calls to the target. Called without it, the tool refuses and hands back the
number:
run(suite="suite.py")
→ refused: this suite plans 100 calls to the target.
20 cases × 5 samples = 100 calls to the target; each answer is judged
3 times by llm_rubric.
Call again with acknowledge_calls=100.
run(suite="suite.py", acknowledge_calls=100) → executes
The first call is the probe. An agent cannot spend a hundred model calls without
having stated the number — AGENTS.md §7 as a contract rather than as advice.
What never crosses
An MCP response goes into a model's context, and from there into transcripts and caches nobody controls. So the run tools return a verdict-only projection: the name, the identity, the status, the score, the threshold, the tolerance, the measured interval, and the metadata a suite disclosed.
Never the judge's reason — the judge quotes the output, so the reason is the
output. Never the sentence explaining a suspension, never undisclosed metadata,
never a case's inputs, and never a prompt or its digest unless the suite
declares Disclosure(artifacts=True).
Release files for digline-mcp 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| digline_mcp-0.3.0.tar.gz | 37.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| digline_mcp-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 53.6 kB
Release files / digline_mcp-0.3.0.tar.gz
| Download URL | digline_mcp-0.3.0.tar.gz |
|---|---|
| Size | 37.4 kB |
| Tags | Source |
|
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| Uploaded via |
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|
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