New Relic AI (LLM Observability) MCP Server
Monitor and audit LLM telemetry via New Relic AI — track token costs, p95 latency, and user feedback.
Ask AI about this MCP Server
Vinkius supports streamable HTTP and SSE.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
What is the New Relic AI MCP Server?
The New Relic AI MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to New Relic AI via 10 tools. Monitor and audit LLM telemetry via New Relic AI — track token costs, p95 latency, and user feedback. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate New Relic AI
Ask your AI agent "Show me the last 5 LLM events for the 'OpenAI' vendor" and get the answer without opening a single dashboard. With 10 tools connected to real New Relic AI data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
New Relic AI (LLM Observability) MCP Server capabilities
10 toolsNote that NRQL is read-only. Irreversibly vaporize explicit validations extracting rich Churn flags
Inspect deep internal arrays mitigating specific Plan Math
Dispatch an automated validation check routing explicit Gateway history
Identify precise active arrays spanning native Gateway auth
/events` inserting absolute generic `CustomAITelemetry` rows tracking internal agent state. Enumerate explicitly attached structured rules exporting active Billing
Perform structural extraction of properties driving active Account logic
Identify precise active arrays spanning native Hold parsing
Identify bounded CRM records inside the Headless New Relic Platform
Retrieve explicit Cloud logging tracing explicit Vault limits
Provision a highly-available JSON Payload generating hard Customer bindings
What the New Relic AI (LLM Observability) MCP Server unlocks
Connect your New Relic AI account to any AI agent and take full control of your LLM observability, token cost tracking, and performance analytics through natural conversation.
What you can do
- LLM Telemetry Audit — Retrieve detailed LLM chat completion messages and prompt inputs directly from your agent to understand literal model behavior in real-time
- Token Cost Tracking — Execute structural extraction of model costs to calculate exact USD token consumption across your entire AI infrastructure securely
- Performance Monitoring — Extract p95 latency matrices and average response times to ensure your LLM text generation remains performant and sub-second
- User Feedback Loop — Retrieve chronological feedback messages and 1-5 rating scores dumped by human supervisors to identify quality regressions natively
- Custom NRQL Execution — Run sophisticated read-only queries using the New Relic Query Language (NRQL) to extract rich insights from multi-tenant AI datasets instantly
- Custom Event Injection — Post atomic generic telemetry rows to track internal agent states and custom behavioral markers across your observability pipeline
- Resource Discovery — Enumerate active APM apps, dashboards, and alert policies to audit your AI environment's structural health and PagerDuty configurations
How it works
1. Subscribe to this server
2. Enter your New Relic API Key and Account ID
3. Start monitoring your AI stack from Claude, Cursor, or any MCP-compatible client
Who is this for?
- AI Engineers — monitor LLM prompt performance and verify model accuracy through natural conversation without manual dashboard navigation
- Observability Leads — track global AI token costs and p95 latency benchmarks directly from your workspace to optimize infrastructure spend
- DevOps Teams — audit APM app health and verify alert policy triggers across multiple AI environments efficiently
Frequently asked questions about the New Relic AI (LLM Observability) MCP Server
Can I check my total AI token costs through my agent?
Yes. Use the query_llm_costs tool. Your agent will execute a NRQL aggregation summing the tokenSpanCost property from your LLM events over the last 24 hours, faceted by model, to provide a clear financial breakdown.
How do I monitor the p95 latency of my LLM generations?
The query_llm_latency tool retrieves the average duration and latency matrices for your AI providers. Your agent will report the results as a timesheet or summary, helping you identify performance bottlenecks instantly.
Can my agent run custom NRQL queries against my telemetry data?
Absolutely. Use the custom_nrql tool to provide any valid read-only NRQL string. Your agent will query New Relic's NerdGraph API and return the resulting dataset, allowing for complete flexibility in how you analyze your AI operations.
More in this category
Tinybird Data Platform
10 toolsAnalyze real-time data via Tinybird — manage Data Sources, inspect Pipes, and query endpoints directly.
Supabase Vector
7 toolsConnect your AI to Supabase Vector. Execute pgvector semantic searches, manage embeddings, and run relational database queries directly from your terminal.
Neon (Serverless PostgreSQL)
10 toolsManage serverless database infrastructure via Neon — spawn zero-copy branches, audit projects, and monitor compute endpoints.
You might also like
Japan e-Stat
2 toolsQuery official Japanese government statistics — population, GDP, industry, trade, employment, and more — from the e-Stat national database.
Intrinio
10 toolsAccess real-time and historical financial market data via Intrinio API.
Epsilon3 Aerospace Operations
10 toolsEquip your AI agent to manage operational procedures, track execution runs, and monitor telemetry via the Epsilon3 API.
Connect New Relic AI (LLM Observability) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of New Relic AI MCP Server
Production-grade New Relic AI (LLM Observability) MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.