GitLab Workflow MCP Server

@chntif/mcp-gitlab-workflow npm v0.1.2

Published by @chntif — 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.

Creates GitLab issues from requirements and submits merge requests from existing issues, plus atomic GitLab API tools for issue-driven development.

Trust grade
A
93/100
Last scanned get badge →
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 2

high Shell/command execution in server code (dist/src/local-delivery.js)MTC-SRC-002

In the server's implementation (`dist/src/local-delivery.js:1`): 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: rt { spawn } from "node:child_process"; export class LocalGitError extends Error { constructor(message) { su

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 dist/src/local-delivery.js

medium Untrusted input can drive an external actionMTC-FLOW-005

Untrusted-input tools ([workflow_review_mr_post_comment, workflow_sync_local_branch, gitlab_get_issue_images]) co-exist with external-action tools ([workflow_requirement_to_delivery, gitlab_create_issue, gitlab_add_issue_comment]). A prompt injection could cause unwanted external actions, though no direct sensitive-data leak path was found.

Evidence: untrusted [workflow_review_mr_post_comment, workflow_sync_local_branch, gitlab_get_issue_images] → sinks [workflow_requirement_to_delivery, gitlab_create_issue,

Fix: Require confirmation for state-changing/egress actions triggered after processing untrusted content.

Location: flow workflow_review_mr_post_comment → workflow_requirement_to_delivery

Tools 28

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

  • gitlab_add_issue_commentnetwork egress
  • gitlab_create_issuenetwork egress
  • gitlab_get_issue_imagesingests untrusted input
  • workflow_requirement_to_deliverynetwork egress
  • workflow_review_mr_post_commentingests untrusted input
  • workflow_sync_local_branchingests untrusted input
  • gitlab_approve_mrno sensitive capability
  • gitlab_commit_filesno sensitive capability
  • gitlab_create_branchno sensitive capability
  • gitlab_create_labelno sensitive capability
Show 18 more tools ↓
  • gitlab_create_merge_requestno sensitive capability
  • gitlab_create_mr_noteno sensitive capability
  • gitlab_delete_labelno sensitive capability
  • gitlab_get_current_userno sensitive capability
  • gitlab_get_fileno sensitive capability
  • gitlab_get_issueno sensitive capability
  • gitlab_get_issue_notesno sensitive capability
  • gitlab_get_merge_requestno sensitive capability
  • gitlab_get_mr_changesno sensitive capability
  • gitlab_get_mr_notesno sensitive capability
  • gitlab_list_labelsno sensitive capability
  • gitlab_unapprove_mrno sensitive capability
  • gitlab_update_labelno sensitive capability
  • gitlab_upload_project_fileno sensitive capability
  • workflow_issue_log_appendno sensitive capability
  • workflow_issue_to_deliveryno sensitive capability
  • workflow_prepare_delivery_workspaceno sensitive capability
  • workflow_requirement_to_issueno 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
v0.1.2 latest A 93/100 2 1.13.0 2026-08-25

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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: A · 93/100
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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 @chntif/mcp-gitlab-workflow --online

Use the free API → How scoring works

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