SkillTotal

Is Mondaycom MCP server safe?

No malicious indicators - review capabilities before installing
Notable — review in context (capabilities are not malware):
  • Node.js network egress
  • MCP tool surface detected

monday-ai is an AI mcp_server analyzed by SkillTotal's deterministic static scanner. The scan found no malicious indicators, though 2 risky constructs are reported for review. It can: mcp tools detected and network egress — capabilities are what the code can do, not a verdict on intent. Risk score 0/100 (low).

monday-ai 1.0.0

mcp_server · https://github.com/mondaycom/mcp
LOW
0
/ 100 risk score
Snapshot · scanned Aug 13, 2026 · monday-ai@1.0.0 · engine 0.38.1 / ruleset 42

Automated static-analysis result. It can contain false positives and false negatives, and is not a claim about the intent of Mondaycom MCP server's authors. Report a false positive.

Capabilities — what this component can do (not a risk score):
mcp tools detectednetwork egress

Behavioral traits

How this component maps to the CSA agentic threat model. Descriptive — it never affects the risk score.

Tool surface
Tool Usage
Network egress
Interaction & Communication / Direct Communication

Findings (2)

MEDIUMNode.js network egressST-NET-NODE

The component makes outbound network requests.

const response = await axios.get<AppFeatureSchemaDefinition[]>(this.SCHEMA_ENDPOINT, {
const response = await axios.post<{ data?: T; errors?: Array<{ message: string }> }>(
fetch(`${DEFAULT_PUBLIC_BASE_URL}${path}`, { method, headers, body, signal });
const response = await fetch(url, { signal: AbortSignal.timeout(DOWNLOAD_TIMEOUT_MS) });
const response = await axios.head(formTokenOrUrl, { maxRedirects: 0, validateStatus: (s) => s < 400 });

Why it matters: Usually legitimate, but confirm the destinations are expected and no sensitive data leaves.

Fix: Confirm the destination hosts are expected and that no sensitive data is sent off-host.

LOWMCP tool surface detectedST-MCP-DETECTED

An MCP tool surface (manifest or tool definitions) was found.

Why it matters: Just context — review which tools it offers and their permissions.

Fix: Review the declared MCP tools and their permissions.

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How we determine this: deterministic static analysis (regex + AST), evidence-anchored, no code execution. Methodology →