Datadog
Datadog MCP Server provides a bridge to the Datadog monitoring platform, enabling AI assistants to access metrics, logs, dashboards, monitors, and incidents through a standardized interface. Developed by GeLi2001, this TypeScript implementation leverages the official Datadog API client to offer ten specialized tools for querying and analyzing observability data. The server supports both environment variables and command-line configuration for authentication, making it easy to integrate with Claude Desktop or other MCP clients. It's particularly valuable for DevOps and SRE workflows where users need to investigate system performance, troubleshoot issues, or analyze monitoring data without switching context to the Datadog web interface.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/geli2001/datadog-mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
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.