by winor30 · MCP Server · ★ 143
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx -y @smithery/cli install @winor30/mcp-server-datadog --client claude
Taken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 143 |
| Forks | 75 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 61/100 |
| Open Issues | 30 |
| Last Updated | 2026-10-25 |
| Created | 2025-02-23 |
| Platforms | mcp, node |
| Est. Tokens | ~17k |
Datadog MCP Server DISCLAIMER: This is a community-maintained project and is not officially affiliated with, endorsed by, or supported by Datadog, Inc. This MCP server utilizes the Datadog API but is developed independently as part of the Model Context Protocol ecosystem. MCP server for the Datadog API, enabling incident management and more.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: