This New Relic MCP server provides a bridge between AI assistants and New Relic's log querying capabilities. Built with Python and leveraging libraries like httpx and FastMCP, it offers a tool for executing NRQL queries against New Relic logs. The implementation focuses on simplifying interactions with New Relic's GraphQL API, making it accessible for AI models to analyze application logs and metrics. It's particularly useful for tasks like performance monitoring, error tracking, or generating insights from log data, enabling assistants to query New Relic logs without requiring deep knowledge of the underlying API complexities.
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.