New Relic MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect New Relic through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"new-relic": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using New Relic, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with New Relic through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the New Relic MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from New Relic via MCP
Why Use LangChain with the New Relic MCP Server
LangChain provides unique advantages when paired with New Relic through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine New Relic MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across New Relic queries for multi-turn workflows
New Relic + LangChain Use Cases
Practical scenarios where LangChain combined with the New Relic MCP Server delivers measurable value.
RAG with live data: combine New Relic tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query New Relic, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain New Relic tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every New Relic tool call, measure latency, and optimize your agent's performance
New Relic MCP Tools for LangChain (10)
These 10 tools become available when you connect New Relic to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting New Relic to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersNew Relic + LangChain FAQ
Common questions about integrating New Relic MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.