mcp-logseq

MCP server to interact with LogSeq via its Local HTTP API - enabling AI assistants like Claude to seamlessly read, write, and manage your LogSeq graph.

Not yet testedsource: GitHubPythonMITcommit 0769877448a2

Python, MIT licensed. The project labels itself: knowledge base, knowledge management, logseq, mcp, mcp server and second brain.

mcp-logseq has not been verified yet.

Measured by Argusic on a fresh machine every time. Every number links to its evidence.

At a glance

verdict
Not yet tested
Argusic Score
not scored yet
recorded runs
0
last tested
-
stars
340
forks
50
open issues
2
watchers
2
size
2 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.

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

No recorded runs.

Topics (from GitHub)

knowledge-baseknowledge-managementlogseqmcpmcp-serversecond-brain

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-logseq.svg)](https://argusic.com/subject/mcp-logseq)

Questions

Does mcp-logseq run?
mcp-logseq has not been fully verified yet. No recorded run has produced a verdict yet.
How did Argusic test mcp-logseq?
On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
Where is the evidence for mcp-logseq?
All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

Discussion