Skills/PyPI/iflow-mcp-lyellr88-marm-mcp-server

iflow-mcp-lyellr88-marm-mcp-server@2.2.6

VERIFIED

Publisher claims: "MARM-Systems is a complete protocol and platform—combining an advanced memory backend, modular semantic search, and agent-to-agent coordination with a scientifically structured, community-vetted methodology for reasoning, session recall, and collaborative AI workflows. More then just a set of tools, it's a complete AI memory ecosystem" Observed in sandbox: no network, touches nothing outside the project, writes no memory.

Registry PyPI (MCP server)Publisher lyellr88 · joined 0 days agoInstalls 21Last detonated 3 h ago
$claude mcp add iflow-mcp-lyellr88-marm-mcp-server -- uvx iflow-mcp_lyellr88-marm-mcp-server
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Is [email protected] safe to install?

KillerSkills ran it in the KillerSkills honeypot sandbox (2 scenarios) on 2026-11-03 and scored it 87/100 (Verified). It did what it claims and nothing else we could detect: no undeclared network egress, no credential reads, no persistent instruction writes. Summary: no network, touches nothing outside the project, writes no memory.

Behavior trace

Honeypot run · 0 s · 2 scenarios · 0 deviations
t+CategoryObserved action
0.0sprocessno install scripts in bundle
0.4sprocessdependency install exit 1
0.4sprocessexec /usr/bin/timeout
0.4sprocessexec .venv/bin/iflow-mcp_lyellr88-marm-mcp-server
0.4sprocessexited 127: timeout: failed to run command '.venv/bin/iflow-mcp_lyellr88-marm-mcp-server': No such file or directory
0.4sclaimedno tools/list reply (exit 127)
0.4sprocessscript backend runs setup only

Static findings

MEDIUM
Python subprocess execution detectedtests/test_docker_memory_usage.py:40 · Python subprocess execution detectedFix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05

No other findings across 7,356 lines in 52 files.

iflow-mcp-lyellr88-marm-mcp-server@2.2.6 safety verdict: Verified 87/100 — KillerSkills