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.
Every tool, the reading ones included, loads the suite it is named. For a
suite.py that executes the project's code, in the server's environment.
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).
A declared file outside the perimeter is refused when the run is made; one under
.digline or .git is refused by the command that would let it cross. Neither is
dropped in silence.
1 maintainer
Metadata
1 maintainer
Release files for digline-mcp 0.6.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| digline_mcp-0.6.1.tar.gz | 61.2 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| digline_mcp-0.6.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 82.5 kB
Release files / digline_mcp-0.6.1.tar.gz
| Download URL | digline_mcp-0.6.1.tar.gz |
|---|---|
| Size | 61.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9024c67c99c59c00ab86c514f89a4717a183de292b08f1de8bef7a1bb1d2b639
|
|
BLAKE2b-256 checksum How to use checksums |
c0d08286053145385cfa60327cd8f13c0f5e3658d089758f01ca5b7fec83a5aa
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 19, 2026.
Transparency logRelease files / digline_mcp-0.6.1-py3-none-any.whl
| Download URL | digline_mcp-0.6.1-py3-none-any.whl |
|---|---|
| Size | 21.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8cfaa4f1efe151efb623c563fbdf13dc5651c41a968cb3f92ea2b3a143bfc2c0
|
|
BLAKE2b-256 checksum How to use checksums |
4b937bce2741f4fe7618db3ed4ebbd2aedd49f44e78d040dd596bf58eabe794b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 19, 2026.
Transparency logSecurity for digline-mcp 0.6.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for digline_mcp-0.6.1.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 19, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
