Skills/PyPI/mlx-mcp-server

mlx-mcp-server@0.7.0

VERIFIED· not started

Publisher claims: "MCP server bridging Codex to local MLX LM (and any OpenAI-compatible backend)" Observed in sandbox: no network, touches nothing outside the project, writes no memory.

Registry PyPI (MCP server)Publisher deresolution20 · publishing for 158 daysInstalls 40Last detonated 3d ago
$claude mcp add mlx-mcp-server -- uvx mlx-mcp-server
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Coverage

Not started: dependency install failed; the server itself was not observed.
Tested
the dependency install step · every file read, file written and host contacted by what ran
Not tested
server startup · the tool list · tool behavior

What this means for the label: Verified here covers what ran. The server's tools were not exercised with a real credential, so nothing about their behavior is asserted; the credential summary below says what to do with that.

Before you give it your token

It will ask for
MLX_API_KEY
Where it talks to
no vendor host named in the code
What the honeypot saw
no credential files read · no network
What we could not test
server startup · the tool list · tool behavior

Connect it with a scoped credential, under the guard. It asks for MLX_API_KEY and talks to its vendor. Give the credential to the guard, not the server: the value never enters the server's environment and only travels to the host you bind. What the tools do with a real credential was not observed.

$vet-skills run --net declared -- uvx mlx-mcp-server

Never paste a credential into a chat, a ticket or a report, including ours. How the guard holds it.

Is [email protected] safe to install?

KillerSkills ran it in the KillerSkills honeypot sandbox (2 scenarios; not started: dependency install failed; the server itself was not observed) on 2026-11-11 and scored it 88/100 (Verified). In what ran, nothing we could detect went wrong: no undeclared network egress, no credential reads, no persistent instruction writes. What it does with a real credential was not observed; the static findings and the publisher carry the rest of the score. 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
0.1sprocessdependency install exit 1 ·
0.1sclaimednot started: dependency install failed (exit 1); the server itself was not observed
0.1sprocessscript backend runs setup only
0.1sprocessno install scripts to re-run

Static findings

MEDIUM
MCP server using network transport (SSE/HTTP)tests/test_installer.py:289 · MCP server using network transport (SSE/HTTP) — data sent over networkassert data["mcpServers"]["mlx"]["env"]["MLX_BASE_URL"] == "http://localhost:8000"Fix: Namespace tool names and keep tool descriptions literal; no instructions to the agent inside them.
AST04
MEDIUM
Python subprocess execution detectedsrc/mlx_mcp_server/gates.py:70 · Python subprocess execution detectedresult = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
MCP server using network transport (SSE/HTTP)tests/test_installer.py:196 · MCP server using network transport (SSE/HTTP) — data sent over networkassert data["mcpServers"]["mlx"]["env"]["MLX_BASE_URL"] == "http://localhost:8080"Fix: Namespace tool names and keep tool descriptions literal; no instructions to the agent inside them.
AST04
MEDIUM
MCP server using network transport (SSE/HTTP)src/mlx_mcp_server/server.py:791 · MCP server using network transport (SSE/HTTP) — data sent over networkmlx-mcp-server install --codex-project --base-url http://localhost:8000Fix: Namespace tool names and keep tool descriptions literal; no instructions to the agent inside them.
AST04
MEDIUM
MCP server using network transport (SSE/HTTP)tests/test_installer.py:92 · MCP server using network transport (SSE/HTTP) — data sent over networkassert data["mcp_servers"]["mlx"]["env"] == {"MLX_BASE_URL": "http://localhost:8000"}Fix: Namespace tool names and keep tool descriptions literal; no instructions to the agent inside them.
AST04
MEDIUM
Python subprocess execution detectedtests/test_server.py:347 · Python subprocess execution detectedresult = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
MCP server using network transport (SSE/HTTP)tests/test_installer.py:165 · MCP server using network transport (SSE/HTTP) — data sent over networkassert data["mcpServers"]["mlx"]["env"]["MLX_BASE_URL"] == "http://localhost:8080"Fix: Namespace tool names and keep tool descriptions literal; no instructions to the agent inside them.
AST04

Cost to the agent

Instructions loaded
≈489 tok
2 files · 67 in bundle
Tool list per prompt
≈0 tok
0 tools · 0 per tool
Handshake
no reply
launch to tools/list, stdio
Undocumented tools
0
description under 20 chars · avg 0

Tokens estimated at four characters each. The tool list is re-read by the agent on every turn, so it is the number to compare between servers that do the same job: ranked across the index.

Known vulnerabilities

No advisories in OSV for mlx-mcp-server@0.7.0 as of 3d ago. This is the package itself, not its dependencies.