Datadog
This MCP server implementation provides integration with Datadog's API, enabling AI assistants to manage and retrieve incident information. Developed by winor30, it offers tools for listing and retrieving Datadog incidents, with plans for future expansion to cover more Datadog resources. Built using TypeScript and leveraging the Datadog API client, the server focuses on incident management capabilities. It is particularly useful for AI applications that need to monitor and respond to system incidents or integrate Datadog's observability data into their workflows.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- monitoring
- Source
- PulseMCP
- Repository
- github.com/winor30/mcp-server-datadog
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve Datadog from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.