Datadog (PyPI) MCP Server
datadog-mcp
PyPI
v0.3.3
Published by an unidentified publisher — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
Datadog MCP server
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 − 5 = 95. 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:
| Points | Adoption-risk factor |
|---|---|
| −3 | capability blast radius (moderate) — client exposure if the model is manipulated |
| −2 | publisher verification (unlinked) — no provenance/repo link, but the shipped source was fully read |
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 1
low Dynamic module load from a non-literal in packaging/dev tooling (tests/test_integration.py)MTC-SRC-005
In a packaging/dev/install script (shipped, but not the server runtime) (`tests/test_integration.py:231`): Loading a module chosen at runtime (from a variable) can pull in and run attacker-influenced code paths. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: s: module = __import__(f"datadog_mcp.tools.{module_name}", fromlist=[module_name]) # Each tool
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_integration.py
Tools 28
Each tool and what it can reach — statically extracted from the published source.
get_logsreads sensitive dataget_logs_field_valuesreads sensitive dataadd_notebook_cellno sensitive capabilityaggregate_tracesno sensitive capabilitycheck_deploymentno sensitive capabilitycreate_monitorno sensitive capabilitycreate_notebookno sensitive capabilitydelete_monitorno sensitive capabilitydelete_notebookno sensitive capabilitydelete_notebook_cellno sensitive capability
Show 18 more tools ↓
get_metric_field_valuesno sensitive capabilityget_metric_fieldsno sensitive capabilityget_metricsno sensitive capabilityget_monitorno sensitive capabilityget_notebookno sensitive capabilityget_service_definitionno sensitive capabilityget_teamsno sensitive capabilityget_tracesno sensitive capabilitylist_metricsno sensitive capabilitylist_monitorsno sensitive capabilitylist_notebooksno sensitive capabilitylist_service_definitionsno sensitive capabilitylist_slosno sensitive capabilityquery_metric_formulano sensitive capabilitysetup_authno sensitive capabilityupdate_monitorno sensitive capabilityupdate_notebookno sensitive capabilityupdate_notebook_cellno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (28 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
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.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v0.3.3 latest |
A 95/100 | 1 | 1.13.0 | 2026-08-25 |
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.
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 datadog-mcp --online --registry pypiOther implementations of Datadog 12
Independent packages implementing the same tool, scanned with the same engine. Compare all 13 side by side →
MCP server for interacting with Datadog API
MCP server for Datadog API - monitors, logs, metrics, traces, dashboards and more
Datadog MCP server - 165 tools for metrics, monitors, logs, APM, RUM, incidents, CI/CD, status pages, fleet automation, and more
MCP Server for Datadog API
MCP-native server for Datadog API with tools, resources, prompts, and schema-based generation
Datadog MCP Server for monitoring and observability data
More in Developer Tools
Hotel booking MCP server — 300K+ properties, real confirmation numbers, loyalty programs. Builders monetize every booking via Stripe Connect. The first MCP server that completes real hotel reservations inside AI conversations.
Manage AdGuard Home through AI assistants
Read-only Azure DevOps for MCP clients using only your existing browser session — no PAT, no Azure CLI. Browse work items, pull requests, comments, attachments and Artifacts feeds across every project, repo and feed you can access.
MCP server for Adobe Experience Manager Assets integration development
Servidor MCP para el tiempo oficial de España (API pública OpenData de AEMET). Predicción, observación y avisos como herramientas MCP tipadas.
A standalone MCP stdio bridge for Affinity by Canva's local MCP SSE server.