Elasticsearch
· #130 most-usedSearch and analytics at any scale, in milliseconds
Elasticsearch is the distributed search and analytics engine at the heart of the Elastic Stack — index any JSON document, run full-text search, aggregations, and vector queries against billions of records with sub-second response times. Connect it to Actionist and your agents can create and query documents, spin up indices for new features, search your knowledge base on demand, run aggregation queries to surface anomalies, and react to cluster health changes — all without a developer writing a single REST call.
Eliminates manual work. Agents eliminate the manual work of writing ad-hoc Kibana queries, copying search results into spreadsheets, and hand-rolling index management scripts.
What your Elasticsearch agent runs on autopilot
A week of scheduled jobs your Actionist agent will execute on your behalf.
Elasticsearch × every other app you use
End-to-end automations that span multiple apps — each one a real business outcome.
Support ticket routed in 30 seconds
When a customer emails a support question, the agent searches the `resolved-tickets` Elasticsearch index for the three most similar past cases — matching on issue keywords and product area — indexes the new ticket with its similarity scores, pings the right support engineer in Slack with the matched cases attached, and blocks a 15-minute callback slot on their calendar. The engineer walks into the call already armed with the solution.
Time saved for your team — every week, on autopilot
Savings
What your team gets back — two angles: what you stop doing manually, and what that's worth.
What you do manually today
What your agent runs for you
- Sales18 min / weekManual competitive lookup
Rep searches Confluence and Slack manually before every competitive call, taking 15–20 minutes per preparation.
Sales Agent0 minAgent queries knowledge-base index instantlyAgent searches the knowledge-base Elasticsearch index on demand and posts the top results to Slack within seconds.
- Marketing13 min / weekCampaign data export
Analyst exports campaign event logs from multiple sources into a spreadsheet to build performance reports.
Marketing Agent0 minAgent runs aggregation and posts resultsAgent executes a terms aggregation over the campaign-performance index and delivers a formatted summary to Notion.
- Customer Support18 min / weekSearching past ticket history
Support engineer manually combs resolved-ticket archives in Jira or email threads to find similar past cases.
Customer Support Agent0 minAgent surfaces top 3 matching past casesAgent runs a full-text search across the resolved-tickets index and attaches the most relevant matches to the incoming ticket.
- Human Resources7 min / weekEmployee record cross-referencing
HR manually queries multiple systems to correlate employee records for compliance audits and reporting.
Human Resources Agent0 minAgent queries employee-records index directlyAgent searches and retrieves employee documents from Elasticsearch, cross-referencing fields in seconds for any audit request.
- Finance13 min / weekTransaction anomaly review
Finance analyst manually compares expense reports against historical averages using spreadsheet VLOOKUP formulas.
Finance Agent0 minAgent aggregates 90-day baseline and flags anomaliesAgent runs an aggregation query over the transactions index and indexes an anomaly score before the reviewer even opens the report.
- Operations25 min / weekManual SLA metric tracking
Ops team exports metric data and compares to SLA thresholds in a spreadsheet updated once per day.
Operations Agent0 minAgent indexes metrics and evaluates SLA pass/failAgent searches the sla-benchmarks index, indexes the reading with a verdict, and updates the dashboard page in under two minutes.
- Legal6 min / weekContract clause keyword search
Legal team manually scans contract PDFs using Ctrl+F or a basic document search tool to find relevant clauses.
Legal Agent0 minAgent searches contracts index with full-text queryAgent queries the contracts Elasticsearch index with the relevant clause keywords and returns ranked matches with source locations.
Calculate what your team saves
Based on Elasticsearch's typical team usage — the visible tasks plus a few other automations the agent runs: ~2.5 hrs / person / week of admin work automated.
How to plug Elasticsearch into Actionist
Pick the connection method that suits your environment.
The fastest path to connecting Elasticsearch. Actionist's MCP server reaches your Elastic deployment through a permissioned handshake — no credentials to rotate, no tokens to store.
Find Elasticsearch in the Apps library and click Connect. MCP is selected by default.
Enter your Elasticsearch deployment Base URL (e.g. https://my-deployment.es.us-east-1.aws.elastic-cloud.com) and confirm. Actionist verifies the connection with a read-only cluster health check.
Actionist runs a read-only call to verify the handshake. You're ready.
15 actions your agent can call
Read and write operations available to your Actionist agent.
7 events your agent can react to
Events your agent watches for, and the actions it kicks off in response.
Skills that pair with Elasticsearch
Reusable agent skills that work well alongside this app.
MCP servers that work with Elasticsearch
Connect Actionist to MCP servers built for or around this app.