Where do I find my User API Key?

In New Relic, go to the account dropdown > API keys. Look for a key of type 'USER'. This is required for NerdGraph access.

Can I run any NRQL query through this server?

Yes! Use the `run_nrql` tool and provide your Account ID and the query string. This allows for extremely flexible data retrieval.

What are APM golden metrics?

Golden metrics are the most critical performance indicators for an application: Response Time, Throughput, Error Rate, and Apdex (user satisfaction).

New Relic MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: New Relic
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to New Relic through Vinkius, pass the Edge URL in the `mcps` parameter and every New Relic tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="New Relic Specialist",
    goal="Help users interact with New Relic effectively",
    backstory=(
        "You are an expert at leveraging New Relic tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in New Relic "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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 MCP Server

Connect your New Relic account to your AI agent and gain full visibility into your applications and infrastructure through natural conversation using the powerful NerdGraph GraphQL API.

When paired with CrewAI, New Relic becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call New Relic tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Entity Discovery — List and search for monitored entities such as APM applications, hosts, containers, and browser apps.
Custom Querying — Execute raw NRQL (New Relic Query Language) strings to retrieve specific datasets and custom metrics.
Golden Metrics — Fetch real-time APM summaries including error rates, Apdex scores, and average response times.
Incident Monitoring — Track active AI-detected issues and open alerts across your accounts.
Dashboard Oversight — List and retrieve configuration details for your custom observability dashboards.
Account Management — Access current user metadata and list all accessible New Relic accounts.
SLO Tracking — Monitor defined Service Level Indicators (SLOs) and performance levels.

The New Relic MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI 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 to CrewAI via MCP

Follow these steps to integrate the New Relic MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from New Relic

Why Use CrewAI with the New Relic MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with New Relic through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

New Relic + CrewAI Use Cases

Practical scenarios where CrewAI combined with the New Relic MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries New Relic for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries New Relic, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain New Relic tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries New Relic against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

New Relic MCP Tools for CrewAI (10)

These 10 tools become available when you connect New Relic to CrewAI via MCP:

get_apm_summary

Get APM golden metrics

get_dashboard

Get dashboard configuration

get_entity_details

Get specific entity metadata

get_me

Get current user and account info

list_accounts

List accessible New Relic accounts

list_alerts

List active issues and alerts

list_dashboards

List New Relic dashboards

list_entities

List monitored entities

list_service_levels

List Service Level Indicators (SLOs)

run_nrql

Execute a NRQL query

Example Prompts for New Relic in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with New Relic immediately.

"List all APM applications in my account."

"Show me the error rate and response time for application GUID 'MTIzNDU2fEFQTXxBUFBMSUNBVElPTnwxMjM'."

"Run NRQL: 'SELECT average(duration) FROM Transaction FACET appName SINCE 1 DAY AGO' for account 12345."

Troubleshooting New Relic MCP Server with CrewAI

Common issues when connecting New Relic to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

New Relic + CrewAI FAQ

Common questions about integrating New Relic MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.