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New Relic AI (LLM Observability) MCP Server for Windsurf 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools IDE

Windsurf brings agentic AI coding to a purpose-built IDE. Connect New Relic AI (LLM Observability) through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.

Vinkius supports streamable HTTP and SSE.

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The modern way to manage MCP Servers — no config files, no terminal commands. Install New Relic AI (LLM Observability) and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json
{
  "mcpServers": {
    "new-relic-ai-llm-observability": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
New Relic AI (LLM Observability)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About New Relic AI (LLM Observability) MCP Server

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.

Windsurf's Cascade agent chains multiple New Relic AI (LLM Observability) tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

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

The New Relic AI (LLM Observability) MCP Server exposes 10 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect New Relic AI (LLM Observability) to Windsurf via MCP

Follow these steps to integrate the New Relic AI (LLM Observability) MCP Server with Windsurf.

01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"

02

Add the server

Paste the JSON configuration above into mcp_config.json

03

Save and reload

Windsurf will detect the new server automatically

04

Start using New Relic AI (LLM Observability)

Open Cascade and ask: "Using New Relic AI (LLM Observability), help me..."10 tools available

Why Use Windsurf with the New Relic AI (LLM Observability) MCP Server

Windsurf provides unique advantages when paired with New Relic AI (LLM Observability) through the Model Context Protocol.

01

Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

02

Purpose-built for agentic workflows — Cascade understands context across your entire codebase and integrates MCP tools natively

03

JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available

04

Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

New Relic AI (LLM Observability) + Windsurf Use Cases

Practical scenarios where Windsurf combined with the New Relic AI (LLM Observability) MCP Server delivers measurable value.

01

Automated code generation: ask Cascade to fetch data from New Relic AI (LLM Observability) and generate models, types, or handlers based on real API responses

02

Live debugging: query New Relic AI (LLM Observability) tools mid-session to inspect production data while debugging without leaving the editor

03

Documentation generation: pull schema information from New Relic AI (LLM Observability) and have Cascade generate comprehensive API docs automatically

04

Rapid prototyping: combine New Relic AI (LLM Observability) data with Cascade's code generation to scaffold entire features in minutes

New Relic AI (LLM Observability) MCP Tools for Windsurf (10)

These 10 tools become available when you connect New Relic AI (LLM Observability) to Windsurf via MCP:

01

custom_nrql

Note that NRQL is read-only. Irreversibly vaporize explicit validations extracting rich Churn flags

02

list_alert_policies

Inspect deep internal arrays mitigating specific Plan Math

03

list_apm_apps

Dispatch an automated validation check routing explicit Gateway history

04

list_dashboards

Identify precise active arrays spanning native Gateway auth

05

post_custom_event

/events` inserting absolute generic `CustomAITelemetry` rows tracking internal agent state. Enumerate explicitly attached structured rules exporting active Billing

06

query_llm_costs

Perform structural extraction of properties driving active Account logic

07

query_llm_errors

Identify precise active arrays spanning native Hold parsing

08

query_llm_events

Identify bounded CRM records inside the Headless New Relic Platform

09

query_llm_feedback

Retrieve explicit Cloud logging tracing explicit Vault limits

10

query_llm_latency

Provision a highly-available JSON Payload generating hard Customer bindings

Example Prompts for New Relic AI (LLM Observability) in Windsurf

Ready-to-use prompts you can give your Windsurf agent to start working with New Relic AI (LLM Observability) immediately.

01

"Show me the last 5 LLM events for the 'OpenAI' vendor"

02

"What is my total LLM token cost for the last 24 hours?"

03

"Run NRQL: SELECT count(*) FROM LlmEvent WHERE duration > 2 SINCE 1 hour ago"

Troubleshooting New Relic AI (LLM Observability) MCP Server with Windsurf

Common issues when connecting New Relic AI (LLM Observability) to Windsurf through the Vinkius, and how to resolve them.

01

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

New Relic AI (LLM Observability) + Windsurf FAQ

Common questions about integrating New Relic AI (LLM Observability) MCP Server with Windsurf.

01

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.
02

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system — it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.
03

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.

Connect New Relic AI (LLM Observability) to Windsurf

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.