New Relic MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add New Relic as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to New Relic. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in New Relic?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine New Relic tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the New Relic MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from New Relic
Why Use LlamaIndex with the New Relic MCP Server
LlamaIndex provides unique advantages when paired with New Relic through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine New Relic tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain New Relic tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query New Relic, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what New Relic tools were called, what data was returned, and how it influenced the final answer
New Relic + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the New Relic MCP Server delivers measurable value.
Hybrid search: combine New Relic real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query New Relic to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying New Relic for fresh data
Analytical workflows: chain New Relic queries with LlamaIndex's data connectors to build multi-source analytical reports
New Relic MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect New Relic to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting New Relic to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNew Relic + LlamaIndex FAQ
Common questions about integrating New Relic MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect New Relic 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.
Connect New Relic to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.