Notebook Intelligence (plmbr) MCP Server

notebook-intelligence PyPI v5.3.0

Published by plmbr — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.

Trust grade
A
93/100
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Trust
A · 93/100
Adoption risk for you: the threat score, then adjusted down for blast radius, publisher verification and how much the scan could see. Deterministic; every point is auditable.
Capability
High
Blast radius if it went rogue — what the server’s tools could reach. Independent of trust.
Coverage
Source
How much the scan could actually inspect. Shallow coverage is stated, never hidden.
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A Why this grade threat 100 − adoption risk = 93/100

The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.

1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:

The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.

2. Client adoption risk — 100 − 7 = 93. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:

PointsAdoption-risk factor
−6 capability blast radius (high) — client exposure if the model is manipulated
−1 publisher verification (public source) — no provenance, but the source is public and inspectable

Capability observations and info notes are shown under Findings but never scored. Open any row's finding below for the file, line and evidence behind a deduction.

Findings 14

high Sensitive-source and external-sink co-existMTC-FLOW-004

Tools that read sensitive data ([list_files, read_file]) and tools that can send data out ([execute_command, run_command_in_jupyter_terminal, run_command_in_embedded_terminal]) are exposed together. An agent can move private data to the sink.

Evidence: sources [list_files, read_file] → sinks [execute_command, run_command_in_jupyter_terminal, run_command_in_embedded_terminal]

Fix: Keep secret-reading and egress capabilities on separate, separately-approved servers.

Location: flow list_files → execute_command

high Tool "execute_command" exposes command/code executionMTC-CAP-001

Tool "execute_command" appears to run shell commands or evaluate code (keyword "execute command" in tool name). Arbitrary execution driven by model input is one of the most dangerous MCP capabilities; combined with any untrusted input it becomes RCE.

Fix: Sandbox execution, allowlist commands/arguments, and never pass model output to a shell unescaped.

Location: tool execute_command

high Tool "run_command_in_jupyter_terminal" exposes command/code executionMTC-CAP-001

Tool "run_command_in_jupyter_terminal" appears to run shell commands or evaluate code (keyword "run_command" in tool name). Arbitrary execution driven by model input is one of the most dangerous MCP capabilities; combined with any untrusted input it becomes RCE.

Fix: Sandbox execution, allowlist commands/arguments, and never pass model output to a shell unescaped.

Location: tool run_command_in_jupyter_terminal

high Tool "run_command_in_embedded_terminal" exposes command/code executionMTC-CAP-001

Tool "run_command_in_embedded_terminal" appears to run shell commands or evaluate code (keyword "run_command" in tool name). Arbitrary execution driven by model input is one of the most dangerous MCP capabilities; combined with any untrusted input it becomes RCE.

Fix: Sandbox execution, allowlist commands/arguments, and never pass model output to a shell unescaped.

Location: tool run_command_in_embedded_terminal

high Shell/command execution in server code (notebook_intelligence/built_in_toolsets.py)MTC-SRC-002

In the server's implementation (`notebook_intelligence/built_in_toolsets.py:793`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.

Evidence: mmand) result = subprocess.run( cmd_list, cwd=str(work_dir), capture_output=

Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.

Location: server notebook_intelligence/built_in_toolsets.py

high Shell/command execution in server code (notebook_intelligence/util.py)MTC-SRC-002

In the server's implementation (`notebook_intelligence/util.py:55`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.

Evidence: before handing it to ``subprocess.Popen(cwd=...)``, ``docmanager:open``, ``terminal:create-new``, or any other shel

Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.

Location: server notebook_intelligence/util.py

low Mutating tool "execute_command" declares no destructiveHintMTC-CAP-005

Tool "execute_command" can mutate/egress but declares no destructiveHint. Clients that don't default to spec-safe behavior may not prompt before running it.

Fix: Declare accurate annotations, and gate destructive tools on user confirmation regardless.

Location: tool execute_command

low Mutating tool "run_command_in_jupyter_terminal" declares no destructiveHintMTC-CAP-005

Tool "run_command_in_jupyter_terminal" can mutate/egress but declares no destructiveHint. Clients that don't default to spec-safe behavior may not prompt before running it.

Fix: Declare accurate annotations, and gate destructive tools on user confirmation regardless.

Location: tool run_command_in_jupyter_terminal

low Mutating tool "run_command_in_embedded_terminal" declares no destructiveHintMTC-CAP-005

Tool "run_command_in_embedded_terminal" can mutate/egress but declares no destructiveHint. Clients that don't default to spec-safe behavior may not prompt before running it.

Fix: Declare accurate annotations, and gate destructive tools on user confirmation regardless.

Location: tool run_command_in_embedded_terminal

low Shell/command execution in packaging/dev tooling (benchmarks/claude_perf/bench_terminal.py)MTC-SRC-002

In a packaging/dev/install script (shipped, but not the server runtime) (`benchmarks/claude_perf/bench_terminal.py:39`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.

Evidence: try: proc = subprocess.run( cmd, capture_output=True, text=True,

Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.

Location: server benchmarks/claude_perf/bench_terminal.py

low Shell/command execution in packaging/dev tooling (tests/test_builtin_toolset_cwd_sandbox.py)MTC-SRC-002

In a packaging/dev/install script (shipped, but not the server runtime) (`tests/test_builtin_toolset_cwd_sandbox.py:6`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.

Evidence: y` straight through to `subprocess.Popen(cwd=...)`. An LLM-supplied path of '/etc' or '..' would spawn a subprocess outs

Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.

Location: server tests/test_builtin_toolset_cwd_sandbox.py

low Shell/command execution in packaging/dev tooling (tests/test_lazy_provider_imports.py)MTC-SRC-002

In a packaging/dev/install script (shipped, but not the server runtime) (`tests/test_lazy_provider_imports.py:30`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.

Evidence: '\n" ) result = subprocess.run( [sys.executable, "-c", code], capture_output=True, text=True, timeout=11

Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.

Location: server tests/test_lazy_provider_imports.py

low Shell/command execution in packaging/dev tooling (tests/test_mcp_client_shim.py)MTC-SRC-002

In a packaging/dev/install script (shipped, but not the server runtime) (`tests/test_mcp_client_shim.py:264`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.

Evidence: test itself may spawn (xdist workers, coverage helpers) so the assertion isolates the shim's own footpri

Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.

Location: server tests/test_mcp_client_shim.py

low Shell/command execution in packaging/dev tooling (tests/test_process_tree_teardown.py)MTC-SRC-002

In a packaging/dev/install script (shipped, but not the server runtime) (`tests/test_process_tree_teardown.py:33`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.

Evidence: s, time\n" "kids = [subprocess.Popen([sys.executable, '-c', 'import time; time.sleep(120)'])" " for _ in range({

Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.

Location: server tests/test_process_tree_teardown.py

Tools 24

Each tool and what it can reach — statically extracted from the published source.

  • execute_commandruns code / shell
  • list_filesreads sensitive data
  • read_filereads sensitive data
  • run_command_in_embedded_terminalruns code / shell
  • run_command_in_jupyter_terminalruns code / shell
  • add_code_cellno sensitive capability
  • add_markdown_cellno sensitive capability
  • create_new_notebookno sensitive capability
  • create_new_python_fileno sensitive capability
  • delete_cellno sensitive capability
Show 14 more tools ↓
  • get_cell_outputno sensitive capability
  • get_cell_type_and_sourceno sensitive capability
  • get_file_contentno sensitive capability
  • get_number_of_cellsno sensitive capability
  • insert_cellno sensitive capability
  • insert_contentno sensitive capability
  • list_available_notebook_kernelsno sensitive capability
  • rename_notebookno sensitive capability
  • run_cellno sensitive capability
  • save_notebookno sensitive capability
  • search_filesno sensitive capability
  • set_cell_type_and_sourceno sensitive capability
  • set_file_contentno sensitive capability
  • write_to_fileno sensitive capability

Toxic flows 1

Cross-tool combinations that form a data-exfiltration primitive (untrusted input → sensitive source → external sink).

What this scan could not see

Versions 1

Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.

VersionScoreFindingsEngineScanned
v5.3.0 latest A 93/100 14 1.9.0 2026-07-23

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MCP Trust Score: A · 93/100
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The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.

npx mcptrustchecker scan notebook-intelligence --online --registry pypi

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Other implementations of Notebook Intelligence 1

Independent packages implementing the same tool, scanned with the same engine. Compare all 2 side by side →

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