mcp-atlassian

MCP server for Atlassian tools (Confluence, Jira)

Runs with mockssource: GitHubhomepagePythonMITcommit 0a5d2427144d

Python, MIT licensed. The project labels itself: atlassian, confluence, jira and mcp.

mcp-atlassian runs, with stand-ins for the services it depends on. An Argusic agent installed it in 5 minutes and hit no errors on a clean machine with no GPU, and the whole session was recorded.

Project installs with uv sync, 3938 unit tests pass, and the MCP server binary starts via SSE transport and prints its version banner.

What the agent ended up with on a clean machine, in its own words. How this is measured

Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 92 of 100 (the mean of this project's run scores).

At a glance

verdict
Runs with mocks
Argusic Score
92 / 100
cost of the verifying run
$0.02 (measured)
recorded runs
1
last tested
stars
5,954
forks
1,371
open issues
255
watchers
23
size
5 MB
created
last push

Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.

What was measured

From the run that decided this verdict. Every line is a recorded value, not an estimate.

Install time
5 minutes
Cold machine to finish
7 minutes
Errors hit and fixed
0 hit, 0 fixed with no human help
How the result was proved
uv run mcp-atlassian --version printed 0.0.1.dev1+0a5d242; uv run mxck-atlassian --transport sse started and printed FastMCP banner; uv run pytest tests/ --ignore=tests/integration --ignore=tests/e2e -q exited 0 with 3938 passed, 5 skipped
Model tokens used
56,714
Exact commit tested
0a5d2427144d
Container image
sha256:cdd920bce783

What was not measured

The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.

Peak GPU memory
this ran on a CPU machine, so there was no GPU to sample
Behaviour over a long run
each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load
Behaviour against real services
this run was verified against stand-in services only

The end of the recording

The last lines of the terminal session that decided this verdict, exactly as they were recorded.

- **`uv run mcp-atlassian --transport sse --port 9999 --host 127.0.0.1 ...`** — FastMCP server star…
- **`uv run pytest tests/ -x --ignore=tests/integration --ignore=tests/e2e -q`** — 3938 passed, 5 s…
No errors encountered. The app installs, imports, and runs; the unit test suite (all mocked, no rea…
tokens used
56,714
All clean. Let me compile the result.
Here is the summary:
- **`uv sync --frozen --all-extras --dev`** — installed all 200+ dependencies with zero errors.
- **`uv run mcp-atlassian --version`** — printed `mcp-atlassian, version 0.0.1.dev1+0a5d242`.
- **`uv run mcp-atlassian --transport sse --port 9999 --host 127.0.0.1 ...`** — FastMCP server star…
- **`uv run pytest tests/ -x --ignore=tests/integration --ignore=tests/e2e -q`** — 3938 passed, 5 s…
No errors encountered. The app installs, imports, and runs; the unit test suite (all mocked, no rea…

Replay the whole session, every command from a clean machine to this point.

How it was tested

One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.

Strengths and limits

Measured facts, not opinions. How this is written.

What went well

  • Installed in 5 minutes.
  • Nothing broke on the way: zero errors between clone and running.
  • Licensed MIT, as reported by its host.

What did not, or is not known

  • Only reached a running state against stand-in services, so nothing here proves it works against the real ones.
  • Measured once so far. A single attempt shows it can run, not that it runs reliably.

Also tested, in the same area

Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.

Run history

tested byattemptoutcomescorecost USDwhen
Argusic Runner1/3Runs with mocks92.000.02

Topics (from GitHub)

atlassianconfluencejiramcp

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/mcp-atlassian.svg)](https://argusic.com/subject/mcp-atlassian)

Questions

Does mcp-atlassian run?
mcp-atlassian runs, with mocks standing in for external services. Argusic installed and launched it on a clean machine in 5 minutes, hitting 0 errors on the way, and recorded the session.
How did Argusic test mcp-atlassian?
On a fresh, disposable machine, with every command recorded and the repository pinned at commit 0a5d2427144d. One attempt is recorded, and the full method is on the methodology page.
What did it cost to test mcp-atlassian?
The run that produced this verdict cost $0.02: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
How long does mcp-atlassian take to install?
5 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
Does mcp-atlassian need a GPU?
Not to start. Argusic reached a running state on a machine with no GPU.
What goes wrong when installing mcp-atlassian?
Nothing did, in the recorded run: zero errors between clone and running.
Where is the evidence for mcp-atlassian?
The recorded run is on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

Discussion