Ask Claude or ChatGPT what is in your Elasticsearch indices, from logs to catalogs, with exact counts and no way to change a thing.
Read from Elasticsearch when someone asks. Nothing exported, nothing copied, and nothing in Elasticsearch ever changes.
Elasticsearch Data & warehouses 
FrontierOps Permissions, definitions, record 
Any AI The AI your team uses How many checkout errors did we log yesterday, compared with the day before?
Show me the ten most recent orders for this customer email and the status of each.
Which search terms returned no results most often this week?
The Elasticsearch connection has no write actions. Nothing in Elasticsearch changes because someone asked a question.
Elasticsearch holds the logs, events and records your team searches every day, but only the people who know the query language get answers out of it. Connected once, anyone can ask in plain English. Counts come back exact, not capped at ten thousand, and the connection can only read: it has no way to index, update or delete.
An admin connects Elasticsearch one time. Nobody hands over a personal login.
Each answer is read at the moment of the question. Nothing is exported or copied, so there is nothing to keep in sync.
What each role can see and do holds in every AI your team uses, and in your own agents.
Every question and every action, by every person and agent, in one audit trail.
No. It is read-only by construction: the connection can search, count, fetch and list indices, and nothing else. Indexing, updates, deletes, mapping changes and cluster administration are not blocked by a rule, they are simply not part of it.
Whatever the API key you connect with can read. Create a key restricted to read access on the indices you want answered, plus index metadata for discovery, and Elasticsearch itself refuses anything outside them.
Yes: Elastic Cloud, hosted or serverless, and self-managed clusters. Connect with the Elasticsearch endpoint and an API key. The Kibana address is the most common mistake, and the setup check says so by name.
Yes, and one built for a whole company. FrontierOps gives Claude, ChatGPT and any other MCP client one connection to Elasticsearch, set up once by an admin. What each role can read or change is decided in FrontierOps, and every call is on record, instead of each person running their own server with their own login.
A direct connection links one AI to Elasticsearch through one person’s login, with that person’s settings. That works for one person. For a team it means no shared definitions, no single place to decide who can see or change what, and starting over when you switch AI. Through FrontierOps, Elasticsearch is connected once, for every AI and every agent, under one set of permissions, with every call on record.
Sentry Ask Claude or ChatGPT what is breaking in Sentry, which release caused it and who it hits, and have the issue resolved or assigned. Connect Sentry to any AI 
PagerDuty Ask Claude or ChatGPT what is on fire and who is on call in PagerDuty, and have incidents acknowledged, resolved or noted. Connect PagerDuty to any AI 
Slack Claude or ChatGPT posts answers, files and charts in your brand colors to Slack, and reads the channels it is in to catch you up on a conversation. Connect Slack to any AI