signal busAll systems operationalScrums.com x Vercel for AI engineering ↗
summaryNew Relic AI MCP Server by New Relic — Observability MCP on the Scrums.com enterprise catalog. Gateway grade C: preview / gated / high privilege. Deployable through the Scrums.com MCP Gateway.Priced on scope·★ 5.0·● available now·vetted by Scrums.com

mcp servers · CAT-30031021 · rev 1.0

New Relic AI MCP Server. @new-relic-ai-mcp-server

MCP Serversmcp · new relic · observability · apmNew Relic● available now
5.0Reviews ▾

Rated 5.0 / 5 by clients on GoodFirms.

Read verified reviews on GoodFirms

Vetted by Scrums.com Platform

Provider New Relic

Last review 2026-09-14

01

What you get

the numbers that matter
Starting price

Priced on scope

starting price

Ready in

≈ 2 weeks

signed to first PR

Retention

96%

engagements renewed

Match

96%

to your stack & domain

New Relic AI MCP Server is a first-party MCP surface for new Relic observability context and actions for AI development and operations clients. The engineering-leadership use case is straightforward: bring production telemetry into coding and troubleshooting agents for faster diagnosis.

02

How this operator works

every way of working, already decided
A · capability focus

Owns the system, not the ticket

Takes end-to-end ownership of a service or surface. Design, delivery, on-call. And is measured on outcomes, not hours.

B · ways of working

Embedded, async-first, instrumented

Works inside your repos, your CI and your rituals. Daily written standups, decisions logged. No status-meeting tax.

C · reliability posture

Runbooks, canaries, reversible deploys

Every change gated and reversible. Incidents get a timeline and a postmortem; nothing ships without a rollback.

D · comms & cadence

Plugged into your Slack & rituals

Joins standups and retros, reports weekly against the goal. You get an operator, not a queue.

E · tooling

Brings a pre-wired stack or adopts yours

Infrastructure and observability as code by default. No bespoke setup tax to absorb.

F · onboarding

Scoped, gated, reversible

Week-1 shadow, week-2 ownership, swap on request inside the trial window. No long-tail handover risk.

·

What it connects

New Relic AI MCP Server is a first-party MCP surface for new Relic observability context and actions for AI development and operations clients. The engineering-leadership use case is straightforward: bring production telemetry into coding and troubleshooting agents for faster diagnosis.

·

What engineering teams can do

Example workflow: Investigate the latest checkout latency regression and correlate it with deployments and service errors.

·

Enterprise MCP Gateway deployment

Grade C (preview / gated / high privilege): preview/beta, IAM/secrets/security administration or unusually destructive toolset. Default posture: list with warning; enable only by policy exception or controlled pilot.

Server-specific posture: Preview; enforce least-privilege New Relic roles and validate write-capable tools before production use.

03

What's included

in every engagement · no add-ons
Embedded operatorfull-time, in your timezone overlapincl.
Daily written standuplogged, async, searchableincl.
Code review & pairingon your PRs, dailyincl.
Weekly progress reportagainst the goalincl.
Scrums.com delivery managerescalation + cadence ownerincl.
No-fault replacement guaranteecovered for the engagementincl.
04

Track record

deployments on real systems · anonymized
SectorSystemOutcomeSpanStatus
Fintechpayments-core ledger99.97% achieved14 mo● complete
Commercecheckout platform−38% incident rate9 mo● complete
Health SaaSdata plane0 SEV1 in 6 mo11 mo● active
Logisticsrouting enginezero-downtime cutover7 mo● complete
AI infrainference clusterp99 −120 ms5 mo● active
05

Works inside your stack

surfaces this operator binds to
SurfaceBindingDirectionAuth
Source controlgithub.com/<org>reviews + writesOIDC
CI / CDscm-flow · deploy-servicegates deploysOIDC
Observabilityotlp://collector:4317metrics + alertsmTLS
Commsslack://<workspace>standups, incidentsSSO
Secretsvault://scrums/op/<id>short-lived credsSPIFFE
On-callpagerduty://<org>primary / secondaryAPI token
06

Boundaries

what to deploy instead

Scoped to this discipline. For an adjacent capability, compose a second operator into the squad. compose →

Not a fractional advisory engagement. For advisory-only, contact platform@scrums.com.

07

Deployments

the only social proof we publish

402deploys

across 38 organizations

+24 last 30 days · median age 11.4 mo · retention 96%

08

Pricing

one number · one footnote
starting price

Priced on scope

All-in: the operator, delivery manager and replacement guarantee. No recruiter fee, no markup surprises.

Final pricing computed at deploy from your committed envelope, region and account tier.

·

FAQ

common questions
How is New Relic AI MCP Server priced?

Priced on scope. Request a quote and pricing is computed from the work envelope.

Is New Relic AI MCP Server available now?

Yes. It is published and deployable directly from the Scrums.com catalog.

Can a New Relic AI MCP Server deployment be reversed?

Yes. Deployments are reversible with a one-click swap inside the trial window.

Who provides New Relic AI MCP Server?

New Relic, vetted by the Scrums.com platform.

·

How it compares

vs other MCP servers
OptionFromStackStatus
New Relic AI MCP Server · this onePriced on scopemcp · new relic · observability● available
GitHub MCP ServerPriced on scopemcp · github · source control● available
GitLab MCP ServerPriced on scopemcp · gitlab · merge requests● available
Managed MCP GatewayPriced on scopemcp · platform · governance● available
09

Commonly deployed with

more MCP servers

More MCP servers

GitHub MCP Server

GitHub MCP Server gives approved AI clients access to repositories, issues, pull requests, branches, code search and common GitHub workflows. It is most valuable where teams want to give coding agents governed access to the system where engineering work is reviewed and merged.

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See options →

GitLab MCP Server

Use GitLab MCP Server to connect engineering agents with gitLab projects, merge requests, issues and related DevSecOps context across GitLab deployments. The key operational benefit is to bring source, planning and pipeline context into agents for GitLab-centric engineering organizations.

GitLabmcpgitlabmerge requests
See options →

Managed MCP Gateway

One governed Model Context Protocol endpoint for your whole organisation. Connect your tools once, scope them per team and per agent, and see every call every agent makes.

mcpplatformgovernance
See options →
starting price

Priced on scope