Does @winor30/mcp-server-datadog send data, and where? — data-flow verdict

provisional · AUTOMATED — forensic confirmation pending. A preliminary, fact-based flag, not a judgment that the tool is unlawful or unsafe.

Verdict (the facts)

Tool

npm/@winor30/mcp-server-datadog

Integrity axis

undisclosed_processing — Observed behaviour matches the tool's stated function; the egress above is the tool doing its advertised job. 'honest' is the integrity axis — it does NOT imply the data flow is irrelevant; see the data-flow axis and jurisdiction.

Data-flow axis

Sends data to api.datadoghq.com (US, jurisdiction tier 2) as its core function. No telemetry, analytics or error-reporting side-channel was found (full source + dependency-tree review). Where your data goes is determined by the tool's stated purpose, not by a hidden observability channel.

Disclosure

functional — Purely functional: all 18 captured requests go to api.datadoghq.com via the official @datadog/datadog-api-client, carrying the user's own DD-API-KEY/DD-APP-KEY to the user's OWN Datadog tenant; every path maps 1:1 to a documented MCP tool (/api/v2/incidents, /api/v1/query metrics, /api/v2/logs/events/search, dashboards, downtimes, RUM). NO self-telemetry — despite Datadog being an observability vendor, the dependency tree contains no analytics/error-reporting SDK and no second host appeared.

Capture self-test

verified

Severity

medium — integrity axis only (undeclared exfiltration). Functional egress and disclosed metadata are reported as neutral facts and are not graded here.

Version (pinned)

1.7.0 · commit

Content hash

sha256:a08254141efabb0647dd46f19ddacf3b11eeb46f85490d77e44d22785af5ba42

Signature

ed25519:XBpqnvpVGRdCRrSLZyLVYe4EzxFKUVs97CbJXF… · Ed25519 public key · sha256:49cf8457b42a7048

Scanned

2026-06-14T00:00:00Z — Pinned to @winor30/mcp-server-datadog@1.7.0, published 2025-10-19. This verdict applies to that exact version; a newer release would require a re-scan.

Re-verified

2026-06-14 — pinned version current

Categories

observability functional-egress US published

Observation history

1 scan(s); first seen 2026-06-14T00:00:00Z · latest 2026-06-14T00:00:00Z

Observed egress destinations

Each destination is classified FUNCTIONAL (the tool's advertised job requires the call — a neutral fact about where your data goes), SESSION/AUTH (handshake with the same operator), or TELEMETRY/ERROR_REPORTING (an observability side-channel not required for the function). Disclosure is judged across the tool's full public doc surface, not just its README, and any 'undisclosed telemetry' finding is adversarially refuted before it is asserted.

Jurisdiction context: Tier 2 = third country (e.g. US): transferring EU personal data to a third country requires a transfer basis under GDPR Art. 44-49 (e.g. SCCs / EU-US Data Privacy Framework) — an obligation on you, the deployer; the tool gives no control over this flow. This is the applicable framework, not a finding that the tool violates it.

Evidence — the captured request (verify, don't just trust)

Capture self-test: verified — a beacon decoy was emitted from the tool's network context; its presence in the intercept means a 'no egress' result would have been trustworthy.

Observed: GET https://api.datadoghq.com/api/v2/incidents?page%5Bsize%5D=10&page%5Boffset%5D=0 ×18 — intercepted (the tool's HTTPS was terminated against the sandbox CA; the egress was then blocked by strict-egress, but the full request was captured)

Payload fields actually sent:

• filter.query
• filter.from
• filter.to
• page.limit
• sort
• message
• override

Captured payload sample (one event):

{"filter":{"query":"FILE-CONTENT::canary-70dedd5e-file-2a3fe3455572::END","from":"1000","to":"1000"},"page":{"limit":100},"sort":"-timestamp"}

Captured in the sandbox run. The distinct_id (a persistent machine identifier) and the write-only, public-by-design ingestion key are truncated above; payload_fields is the union observed across the run.

Reproduce it yourself (canary-sandbox (open methodology; Docker backend)):
python -m canary.cli scan <target> --backend docker # target: npm @winor30/mcp-server-datadog@1.7.0
Re-run it yourself: the scanner installs the pinned version, drives the tool over MCP, and intercepts all egress.

Full raw captured trace + verification: /verdict/datadog/evidence.json — every captured request (redacted), the verdict content-hash and the package checksum, for an AI or auditor that wants the underlying observation, not just the conclusion.

Disclosure check (the §824 evidence)

Read

README (npm + GitHub); dependency tree (no observability SDK); captured sandbox requests (18, all api.datadoghq.com)

Quoted from the tool's own docs

“”

Match

Purely functional: all 18 captured requests go to api.datadoghq.com via the official @datadog/datadog-api-client, carrying the user's own DD-API-KEY/DD-APP-KEY to the user's OWN Datadog tenant; every path maps 1:1 to a documented MCP tool (/api/v2/incidents, /api/v1/query metrics, /api/v2/logs/events/search, dashboards, downtimes, RUM). NO self-telemetry — despite Datadog being an observability vendor, the dependency tree contains no analytics/error-reporting SDK and no second host appeared.

Residual gap

Default api.datadoghq.com = US (tier 2); DATADOG_SITE lets an EU deployer route to datadoghq.eu instead. Community-maintained, not officially affiliated with Datadog.

How we know this — claims by basis

A verdict is a reproducible evidence container, not just a claim. Each assertion is tagged: an observation is in the capture and reproducible; an inference is our reasoning over it; documented is the tool’s own statement; a classification is our adversarially-reviewed judgment. Observation never reads as inference.

Observed — directly in the capture, reproducible

• The tool sent 18 request(s) to api.datadoghq.com carrying fields: filter.query, filter.from, filter.to, page.limit, sort, message, override. — Captured in the sandbox run (published redacted in the evidence artifact); re-run the scan to reproduce. (confidence: high)

Inferred — our reasoning over the observation

• The repeated requests suggest the flow fires on launch and on each tool call. — 18 requests in one run — an inferred pattern, not proven across launches. (confidence: medium)

Documented — the tool's own statement

• The tool's own docs state (quoted): # Datadog MCP Server > **DISCLAIMER**: This is a community-maintained project and is not officially affiliated with, endorsed by, or supported by Datadog, Inc. T — npm registry readme for @winor30/mcp-server-datadog (confidence: high)

Classified — our adversarially-reviewed judgment

• api.datadoghq.com is classified as egress (an observability side-channel, not required for the function). — Adversarially reviewed. (confidence: high)
• Disclosure status: disclosed. — The observed endpoint api.datadoghq.com (Datadog) is named/disclosed in the tool's own docs (matched: datadog, api). (confidence: high)

Method

Installed and run in an isolated container; fed traceable decoy data; all outbound traffic intercepted (TLS broken via own CA, iptables transparent redirect). Endpoints, resolved geo/jurisdiction and frequency are observed facts. Capture self-test passed.

Scope

Compares the tool's declared destinations against what was observed in one sandbox run. Checks transparency / integrity for a cooperative tool, NOT resistance to deliberate evasion. "honest"/"clean" means "observed without deviation within our reach", NOT "guaranteed no hidden egress". Out of scope: exfiltration split/chunked across requests; tool-side encryption of the payload before egress; input/time/state-triggered processing not triggered in the run.

Machine-readable verdict: /verdict/datadog.json. This page describes observed behaviour and its relation to the tool's own disclosures — it is not a legal judgment. Search context: does @winor30/mcp-server-datadog send data, @winor30/mcp-server-datadog privacy, @winor30/mcp-server-datadog data flow, @winor30/mcp-server-datadog telemetry, where does @winor30/mcp-server-datadog send data, is @winor30/mcp-server-datadog safe, what data does @winor30/mcp-server-datadog collect, how to disable @winor30/mcp-server-datadog telemetry, @winor30/mcp-server-datadog opt out tracking, @winor30/mcp-server-datadog GDPR data residency, @winor30/mcp-server-datadog third-party / jurisdiction.