Intaris MCP Server

intaris PyPI v0.7.0

Published by fpytloun — 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
F
58/100
Last scanned
Trust
F · 58/100
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.
F Why this grade threat 65 − adoption risk = 58/100

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 − 35.1 = 65. What the published surface and source actually contain:

PointsWhat was foundCategory
−33 Hardcoded AWS access key id in server code ×2 MTC-SRC-008 exfiltration
−2.1 Package has no source repository MTC-SUP-011 supply-chain

2. Client adoption risk — 65 − 7 = 58. 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
inspection depth (source) — how much of the target the scan could see

Grade capped: 2 confirmed high findings → grade capped at D. A hard gate overrides the point total — no amount of clean surface buys back a confirmed catastrophe.

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 11

high Reads a sensitive credential path or dumps the environment (intaris/analyzer.py)MTC-SRC-006

In the server's implementation (`intaris/analyzer.py:207`): Reading private keys / cloud credentials, or serializing the whole environment, is a sensitive-data source that becomes exfiltration when combined with any egress. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.

Evidence: id_rsa

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 intaris/analyzer.py

high Reads a sensitive credential path or dumps the environment (tests/test_e2e.py)MTC-SRC-006

In the server's implementation (`tests/test_e2e.py:1820`): Reading private keys / cloud credentials, or serializing the whole environment, is a sensitive-data source that becomes exfiltration when combined with any egress. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.

Evidence: ~/.ssh

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_e2e.py

high Reads a sensitive credential path or dumps the environment (tools/benchmark/evaluator.py)MTC-SRC-006

In the server's implementation (`tools/benchmark/evaluator.py:1191`): Reading private keys / cloud credentials, or serializing the whole environment, is a sensitive-data source that becomes exfiltration when combined with any egress. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.

Evidence: id_rsa

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 tools/benchmark/evaluator.py

high Reads a sensitive credential path or dumps the environment (tools/benchmark/scenarios/adversarial.py)MTC-SRC-006

In the server's implementation (`tools/benchmark/scenarios/adversarial.py:180`): Reading private keys / cloud credentials, or serializing the whole environment, is a sensitive-data source that becomes exfiltration when combined with any egress. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.

Evidence: ~/.ssh

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 tools/benchmark/scenarios/adversarial.py

high Reads a sensitive credential path or dumps the environment (tools/benchmark/scenarios/coding.py)MTC-SRC-006

In the server's implementation (`tools/benchmark/scenarios/coding.py:108`): Reading private keys / cloud credentials, or serializing the whole environment, is a sensitive-data source that becomes exfiltration when combined with any egress. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.

Evidence: ~/.ssh

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 tools/benchmark/scenarios/coding.py

high Hardcoded AWS access key id in server code (tests/test_redactor.py)MTC-SRC-008

A live-looking AWS access key id is hardcoded in `tests/test_redactor.py:20`. Secrets in source ship to everyone who installs the package and are a direct credential leak.

Evidence: AWS access key id: AKIA…(redacted)

Fix: Remove the secret, rotate it, and load credentials from the environment or a secret store.

Location: server tests/test_redactor.py

high Hardcoded AWS access key id in server code (tools/benchmark/scenarios/cross_session.py)MTC-SRC-008

A live-looking AWS access key id is hardcoded in `tools/benchmark/scenarios/cross_session.py:141`. Secrets in source ship to everyone who installs the package and are a direct credential leak.

Evidence: AWS access key id: AKIA…(redacted)

Fix: Remove the secret, rotate it, and load credentials from the environment or a secret store.

Location: server tools/benchmark/scenarios/cross_session.py

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

In the server's implementation (`tests/test_analyzer.py:1913`): 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: subprocess.Popen(

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_analyzer.py

high Shell/command execution in server code (tests/test_e2e.py)MTC-SRC-002

In the server's implementation (`tests/test_e2e.py:542`): 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: subprocess.call(

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_e2e.py

high Shell/command execution in server code (tools/benchmark/scenarios/adversarial.py)MTC-SRC-002

In the server's implementation (`tools/benchmark/scenarios/adversarial.py:124`): 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: child_process

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 tools/benchmark/scenarios/adversarial.py

low Package has no source repositoryMTC-SUP-011

"intaris" declares no repository URL, so its published artifact cannot be compared against reviewable source.

Fix: Prefer packages that link to public, reviewable source.

Location: package intaris

What this scan could not see

Versions

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
v0.7.0 latest D 65/100 11 1.5.0 2026-07-23

Embed this score

Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.

MCP Trust Score: F · 58/100
Markdown (GitHub README)
[![MCP Trust Score](https://mcptrustchecker.com/registry/intaris/badge.svg)](https://mcptrustchecker.com/registry/intaris)
HTML
<a href="https://mcptrustchecker.com/registry/intaris"><img src="https://mcptrustchecker.com/registry/intaris/badge.svg" alt="MCP Trust Score" height="20"></a>
Prefer shields.io styling? Point it at https://mcptrustchecker.com/registry/intaris/badge.json via https://img.shields.io/endpoint?url=…

Verify this score yourself

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 intaris --online --registry pypi

Use the free API → How scoring works

More in Developer Tools