Github Agent MCP Server

mcp-github-agent PyPI v0.2.0

Published by fmorgan-111 — 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
B
89/100
Last scanned get badge →
Trust
B · 89/100
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
Critical
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.
B Why this grade threat 100 − adoption risk = 89/100

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 − 11 = 89. 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
−10 capability blast radius (critical) — 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 3

critical Completed toxic-flow trifecta across toolsMTC-FLOW-002

This server (without client built-ins) exposes a complete data-exfiltration chain: comment_pr_review → get_file_contents → create_issue. Untrusted input is ingested, private data is read, and it can be sent to an external sink via the agent composing the tools (→). Static analysis proves the primitive exists, not that a specific run will occur.

Fix: Remove one leg of the trifecta: isolate untrusted-input tools from secret-reading tools and from egress tools, or require human approval between them.

Location: flow comment_pr_review → get_file_contents → create_issue

high Shell/command execution in server code (src/analyzers/ruff.py)MTC-SRC-002

In the server's implementation (`src/analyzers/ruff.py:21`): 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: result = subprocess.run( [self.cmd, "check", "--output-format", "json", str(path)],

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 src/analyzers/ruff.py

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

In a packaging/dev/install script (shipped, but not the server runtime) (`tests/test_http_transport.py:53`): 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: -token"} proc = subprocess.Popen( [sys.executable, "-m", "src.main", "--transport", "http", "--port"

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_http_transport.py

Tools 12

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

  • comment_pr_reviewingests untrusted input
  • create_issuenetwork egress
  • get_file_contentsreads sensitive data
  • add_issue_commentno sensitive capability
  • create_or_update_fileno sensitive capability
  • create_prno sensitive capability
  • get_pr_diffno sensitive capability
  • list_issuesno sensitive capability
  • merge_pull_requestno sensitive capability
  • push_filesno sensitive capability
Show 2 more tools ↓
  • review_pr_diffno sensitive capability
  • search_codeno 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
v0.2.0 latest B 89/100 3 1.9.0 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: B · 89/100
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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 mcp-github-agent --online --registry pypi

Use the free API → How scoring works

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