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Connect New Relic AI LLM Observability to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Control your AI infrastructure through natural conversation.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 10 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through New Relic AI.

  1. 01

    Custom nrql

    This capability runs read-only NRQL queries to pull specific datasets from your New Relic account.

  2. 02

    Query llm costs

    Use this to extract specific properties and logic related to your active LLM account costs.

  3. 03

    Query llm feedback

    This capability retrieves cloud logging and tracing data to check against specific limits.

  4. 04

    List alert policies

    This capability inspects internal arrays to help you manage and mitigate plan math issues.

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through New Relic AI.

  1. 05

    List apm apps

    Use this to run automated validation checks on your gateway history.

  2. 06

    List dashboards

    This capability identifies active arrays that span your native gateway authentication.

  3. 07

    Query llm errors

    This capability identifies active arrays used for parsing hold data.

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through New Relic AI.

  1. 08

    Query llm events

    Use this to find bounded CRM records within the New Relic platform.

  2. 09

    Query llm latency

    This capability provisions JSON payloads to create hard customer bindings for latency data.

  3. 10

    Post custom event

    This capability inserts generic CustomAITelemetry rows to track your agent's internal state.

Real work

What teams actually run

01

Cost Management

Check your total token spend across different model providers to stay within budget.

02

Performance Debugging

Identify specific LLM calls that are causing latency spikes in your application.

03

Quality Control

Review human supervisor ratings to detect when a model's output quality regresses.

04

Infrastructure Auditing

Enumerate active APM apps and alert policies to ensure your AI environment is healthy.

Automate a task

Put New Relic AI to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

New Relic AI works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put New Relic AI to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

946ms average. Fast in production.

New Relic AI is checked daily against the live service.

Daily averagePeak 1058ms
Oct 3Today
Fastest day
777ms
Slowest day
1058ms
14-day trend
Stable+1%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of New Relic AI, so you can see the experience inside your AI.

It does not authenticate your account with New Relic AI. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

New Relic AI Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_oqdaAroeFoXBv9yPI4WsHZZZZZuzqhwVoSn1YCyq/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — New Relic AI capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "new-relic-ai-llm-observability-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_oqdaAroeFoXBv9yPI4WsHZZZZZuzqhwVoSn1YCyq/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up New Relic AI in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work New Relic AI owners hand off.

This MCP is built for technical teams managing production AI workloads who need real-time visibility without leaving their development environment.

  • 01

    AI Engineers

    They use the agent to monitor prompt performance and verify model accuracy through conversation.

  • 02

    Observability Leads

    They track global token costs and p95 latency benchmarks to manage infrastructure spend.

  • 03

    DevOps Teams

    They audit APM app health and verify alert policy triggers across multiple environments.

FAQ

Questions New Relic AI owners ask.

  • 01

    How do I connect this MCP to my AI client?

    You subscribe to the MCP on Vinkius, enter your New Relic credentials, and then connect your client like Claude or Cursor with a single click.

  • 02

    Can I run custom queries?

    Yes, you can use the custom_nrql capability to run read-only NRQL queries to pull specific insights from your datasets.

  • 03

    Does this MCP support cost tracking?

    Yes, the query_llm_costs capability allows you to extract model costs and calculate USD consumption across your infrastructure.

  • 04

    Can I track user feedback?

    Yes, you can use the query_llm_feedback capability to retrieve chronological feedback messages and star ratings.

  • 05

    Is my data secure?

    Vinkius hosts the MCP and manages your credentials securely, allowing your agent to interact with New Relic through authorized API calls.

  • 06

    Can I check my total AI token costs through my agent?

    Yes. Use the query_llm_costs capability. 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.

  • 07

    How do I monitor the p95 latency of my LLM generations?

    The query_llm_latency capability 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.

  • 08

    Can my agent run custom NRQL queries against my telemetry data?

    Absolutely. Use the custom_nrql capability 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.

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