New Relic MCP Server

New Relic MCP Server

Enables AI assistants to interact with New Relic monitoring and observability data through programmatic access to New Relic APIs. Supports APM management, NRQL queries, alert policies, synthetic monitoring, dashboards, infrastructure monitoring, and deployment tracking.

Category
Visit Server

README

New Relic MCP Server

A Model Context Protocol (MCP) server that provides programmatic access to New Relic APIs, enabling AI assistants and other tools to interact with New Relic monitoring and observability data.

Features

  • APM Application Management: List and retrieve application details, metrics, and metric data
  • NRQL Queries: Execute NRQL queries via NerdGraph
  • Alert Policies: List and manage alert policies
  • Synthetic Monitoring: Access synthetic monitor information
  • Dashboards: List and retrieve dashboard configurations
  • Entity Search: Search across all New Relic entities
  • Infrastructure: Monitor servers and infrastructure components
  • Deployments: Track and create application deployments
  • User Management: List and manage users
  • NerdGraph: Execute custom GraphQL queries

Installation

Option 1: Install from PyPI (Recommended)

pip install newrelic-mcp-server

Option 2: Install from Source

# Clone this repository
git clone https://github.com/piekstra/newrelic-mcp-server.git
cd newrelic-mcp-server

# Install in development mode
pip install -e .

Configuration

The server requires the following environment variables:

# Required
export NEWRELIC_API_KEY="your-api-key-here"  # Your New Relic User API key

# Optional
export NEWRELIC_REGION="US"  # or "EU" (default: "US")
export NEWRELIC_ACCOUNT_ID="your-account-id"  # Required for some operations

Getting Your API Key

  1. Log in to New Relic
  2. Navigate to the API Keys page
  3. Create a new User API key (starts with NRAK)
  4. Copy the key and set it as the NEWRELIC_API_KEY environment variable

Usage

With Claude Desktop

Add the following to your Claude Desktop configuration (claude_desktop_config.json):

{
  "mcpServers": {
    "newrelic": {
      "command": "newrelic-mcp-server",
      "env": {
        "NEWRELIC_API_KEY": "your-api-key-here",
        "NEWRELIC_REGION": "US",
        "NEWRELIC_ACCOUNT_ID": "your-account-id"
      }
    }
  }
}

With Other MCP Clients

# Start the server directly
newrelic-mcp-server

# Or run as a module
python -m newrelic_mcp

Available Tools

Application Management

  • list_applications - List all APM applications
  • get_application - Get details for a specific application
  • get_application_metrics - Get available metrics for an application
  • get_application_metric_data - Get metric data with time range filtering

Querying

  • query_nrql - Execute NRQL queries for data analysis
  • nerdgraph_query - Execute custom NerdGraph GraphQL queries

Monitoring

  • list_alert_policies - List all alert policies
  • get_alert_policy - Get specific alert policy details
  • list_synthetic_monitors - List synthetic monitors
  • get_synthetic_monitor - Get synthetic monitor details

Dashboards & Visualization

  • list_dashboards - List all dashboards
  • get_dashboard - Get dashboard configuration and widgets

Infrastructure

  • list_servers - List monitored servers
  • get_server - Get server details
  • search_entities - Search across all entity types

Deployment Tracking

  • list_deployments - List application deployments
  • create_deployment - Record new deployments

User Management

  • list_users - List account users
  • get_user - Get user details

Examples

Query Application Performance

# List all applications
await list_applications()

# Get specific application metrics
await get_application_metric_data(
    app_id='123456',
    metric_names=['HttpDispatcher', 'Apdex'],
    from_time='2024-01-01T00:00:00Z',
    to_time='2024-01-02T00:00:00Z'
)

Execute NRQL Query

await query_nrql(
    account_id='1234567',
    nrql='SELECT average(duration) FROM Transaction WHERE appName = "My App" SINCE 1 hour ago'
)

Search Entities

await search_entities(
    query='name LIKE "%production%"',
    limit=50
)

Create Deployment Marker

await create_deployment(
    app_id='123456',
    revision='v2.0.1',
    description='Production deployment',
    user='deploy-bot',
    changelog='Fixed critical bug in payment processing'
)

Development

# Clone the repository
git clone https://github.com/piekstra/newrelic-mcp-server.git
cd newrelic-mcp-server

# Install in development mode
pip install -e .[dev]

# Install pre-commit hooks
pre-commit install

# Run the server
newrelic-mcp-server

# Run tests (when available)
pytest

# Format code
black newrelic_mcp

# Lint code
flake8 newrelic_mcp

# Run all pre-commit checks
pre-commit run --all-files

Dependencies

  • fastmcp - FastMCP framework for building MCP servers
  • httpx - Async HTTP client for API requests
  • python-dotenv - Environment variable management (optional)

API Rate Limits

Be aware of New Relic's API rate limits:

  • REST API v2: Subject to rate limiting per account
  • NerdGraph: Higher rate limits but still enforced
  • Synthetic Monitoring API: 3 requests per second

Security

  • Never commit API keys to version control
  • Use environment variables for sensitive configuration
  • API keys should have minimal required permissions
  • Consider using separate keys for different environments

Troubleshooting

Authentication Errors

  • Ensure your API key starts with NRAK
  • Verify the key has the necessary permissions
  • Check if you're using the correct region (US/EU)

Rate Limiting

If you encounter rate limit errors:

  • Implement exponential backoff in your client code
  • Cache frequently accessed data
  • Batch operations where possible

Connection Issues

  • Verify network connectivity
  • Check firewall rules for API endpoints
  • Ensure correct base URLs for your region

Python Environment

  • Ensure Python 3.10+ is installed
  • Install dependencies with pip install -r requirements.txt
  • Check that the script is executable: chmod +x newrelic_mcp_server.py

Command Not Found Issues

If you encounter "command not found" errors after installation:

  • Try using the full path to the installed package:
    • Linux/macOS (user install): ~/.local/bin/newrelic-mcp-server
    • macOS (Python framework): /Library/Frameworks/Python.framework/Versions/3.13/bin/newrelic-mcp-server
    • System-wide: /usr/local/bin/newrelic-mcp-server
  • Or add the installation directory to your PATH: export PATH="$HOME/.local/bin:$PATH"
  • In Claude Desktop config, use the full path if the command isn't found:
    {
      "mcpServers": {
        "newrelic": {
          "command": "/Library/Frameworks/Python.framework/Versions/3.13/bin/newrelic-mcp-server",
          "env": {
            "NEWRELIC_API_KEY": "your-api-key-here",
            "NEWRELIC_REGION": "US",
            "NEWRELIC_ACCOUNT_ID": "your-account-id"
          }
        }
      }
    }
    

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT

Support

For issues and questions:

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured