zotero-mcp

Zotero MCP: Connects your Zotero research library with Claude and other AI assistants via the Model Context Protocol to discuss papers, get summaries, analyze citations, and more.

Runs with mockssource: GitHubhomepagePythonMITcommit 075cf2c59842

Python, MIT licensed. The project labels itself: ai agent, chatgpt, claude, claude code, mcp, mcp server, model context protocol and research tools.

zotero-mcp runs, with stand-ins for the services it depends on. An Argusic agent installed it in 3 minutes and hit 1 error and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.

Zotero MCP v0.13.3 installed in a Python venv, all modules load, CLI responds to help/version commands, and pytest reports 3785 passed, 0 failed, 1 skipped across the non-live test suite after fixing one environment-leak bug in a test fixture.

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
$0.11 (measured)
recorded runs
1
last tested
stars
5,266
forks
417
open issues
73
watchers
14
size
7 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.

Time lost to each failure while testing zotero-mcp, drawn from the recorded run
Every bar is a failure the agent recorded, with the time it cost. Drawn from this run, not from anywhere else.

What went wrong, in the agent's own words

The agent's own words, worst first, never rewritten into advice.

  • test_stringified_params.py fixture leaks ZOTERO_LOCAL=true via os.environ.setdefault without cleanup, causing test_webdav::test_download_attachment_file_falls_back_to_webdav to fail3 minutes
Install time
3 minutes
Cold machine to finish
11 minutes
Errors hit and fixed
1 hit, 1 fixed with no human help
How the result was proved
pytest --ignore=tests/live --tb=no -q: 3785 passed, 1 skipped, 0 failed in 42s; zotero-mcp version returned Zotero MCP v0.13.3
Model tokens used
85,869
Exact commit tested
075cf2c59842
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.

=== Test result ===
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
3785 passed, 1 skipped, 19 warnings in 41.89s
exec
/bin/sh -lc "echo '{\"install_succeeded\": true, \"launch_succeeded\": true, \"install_minutes\": 3…
 succeeded in 0ms:
{"install_succeeded": true, "launch_succeeded": true, "install_minutes": 3, "errors": [{"msg": "tes…
exec
/bin/sh -lc "echo 'ARGUSIC_RESULT: {\"install_succeeded\": true, \"launch_succeeded\": true, \"inst…
 succeeded in 0ms:
tokens used
85,869

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 3 minutes, faster than the median of the 25 comparable projects Argusic has measured.
  • Recovered from all 1 error without a human stepping in, which says the failures are documented well enough to solve.
  • 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.

Of the 26 ai-agent projects Argusic has installed and timed, zotero-mcp was the 9th fastest to reach a running state, and 17 of 26 reached one at all.

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 mocks92.000.11

Topics (from GitHub)

ai-agentchatgptclaudeclaude-codemcpmcp-servermodel-context-protocolresearch-toolssemantic-searchzoterozotero-plugin

Embed the badge

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

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

Questions

Does zotero-mcp run?
zotero-mcp runs, with mocks standing in for external services. Argusic installed and launched it on a clean machine in 3 minutes, hitting 1 error on the way, and recorded the session.
How did Argusic test zotero-mcp?
On a fresh, disposable machine, with every command recorded and the repository pinned at commit 075cf2c59842. One attempt is recorded, and the full method is on the methodology page.
What did it cost to test zotero-mcp?
The run that produced this verdict cost $0.11: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
How long does zotero-mcp take to install?
3 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 zotero-mcp need a GPU?
Not to start. Argusic reached a running state on a machine with no GPU.
What goes wrong when installing zotero-mcp?
1 thing broke in the recorded run, and 1 were fixed without human help. Each one, and the time it cost, is listed on this page.
How does zotero-mcp compare with the alternatives?
Of the 26 ai-agent projects Argusic has installed and timed, zotero-mcp was the 9th fastest to reach a running state, and 17 of 26 reached one at all.
Where is the evidence for zotero-mcp?
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