New Relic
This MCP server provides AI assistants with access to New Relic monitoring data through both NerdGraph GraphQL and REST API v2 endpoints, built using Python with FastMCP and httpx for asynchronous HTTP operations. The implementation offers seven core tools for querying logs and metrics via NRQL, retrieving account and user information, accessing alert policies and dashboards, listing entities, and fetching application metrics with timestamp filtering through the REST API. Built with comprehensive error handling, debug logging, and environment-based configuration for API keys and account IDs, it serves DevOps teams needing conversational access to New Relic telemetry data, site reliability engineers requiring AI-assisted incident investigation, and developers wanting to integrate New Relic monitoring insights into automated troubleshooting workflows without direct API interaction.
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/mohdhaji87/newrelicmcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve New Relic 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.