Elasticsearch

· #130 most-used

Search and analytics at any scale, in milliseconds

DatabaseAnalyticsDeveloperSecurityAutomation

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.

Average time saved
10 hours
per person · per month
≈ 1 workdays back

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.

Schedule

What your Elasticsearch agent runs on autopilot

A week of scheduled jobs your Actionist agent will execute on your behalf.

28Scheduled jobs
7Agents at work
24/7Always on
Agents
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1p
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Multi-app workflows

Elasticsearch × every other app you use

End-to-end automations that span multiple apps — each one a real business outcome.

6Workflows
9Apps spanned
~82 hrsSaved / week
6Personas served
For customer success
Featured4 apps

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.

~23 hrs

Time saved for your team — every week, on autopilot

The flow
Trigger·When a new support email arrives in Gmail
Result
Index new ticket document with similarity scoresPost matched cases and ticket details to engineerBlock 15-min callback slot on engineer calendar
The win
Saved per run
35 min
Runs / week
~40×
Engineers arrive at calls with answers, not questions
Driven byCustomer Support Agent
ROI

Savings

What your team gets back — two angles: what you stop doing manually, and what that's worth.

Without Actionist

What you do manually today

With Actionist

What your agent runs for you

  • Sales
    18 min / week
    Manual competitive lookup

    Rep searches Confluence and Slack manually before every competitive call, taking 15–20 minutes per preparation.

    Sales Agent
    0 min
    Agent queries knowledge-base index instantly

    Agent searches the knowledge-base Elasticsearch index on demand and posts the top results to Slack within seconds.

  • Marketing
    13 min / week
    Campaign data export

    Analyst exports campaign event logs from multiple sources into a spreadsheet to build performance reports.

    Marketing Agent
    0 min
    Agent runs aggregation and posts results

    Agent executes a terms aggregation over the campaign-performance index and delivers a formatted summary to Notion.

  • Customer Support
    18 min / week
    Searching past ticket history

    Support engineer manually combs resolved-ticket archives in Jira or email threads to find similar past cases.

    Customer Support Agent
    0 min
    Agent surfaces top 3 matching past cases

    Agent runs a full-text search across the resolved-tickets index and attaches the most relevant matches to the incoming ticket.

  • Human Resources
    7 min / week
    Employee record cross-referencing

    HR manually queries multiple systems to correlate employee records for compliance audits and reporting.

    Human Resources Agent
    0 min
    Agent queries employee-records index directly

    Agent searches and retrieves employee documents from Elasticsearch, cross-referencing fields in seconds for any audit request.

  • Finance
    13 min / week
    Transaction anomaly review

    Finance analyst manually compares expense reports against historical averages using spreadsheet VLOOKUP formulas.

    Finance Agent
    0 min
    Agent aggregates 90-day baseline and flags anomalies

    Agent runs an aggregation query over the transactions index and indexes an anomaly score before the reviewer even opens the report.

  • Operations
    25 min / week
    Manual SLA metric tracking

    Ops team exports metric data and compares to SLA thresholds in a spreadsheet updated once per day.

    Operations Agent
    0 min
    Agent indexes metrics and evaluates SLA pass/fail

    Agent searches the sla-benchmarks index, indexes the reading with a verdict, and updates the dashboard page in under two minutes.

  • Legal
    6 min / week
    Contract clause keyword search

    Legal team manually scans contract PDFs using Ctrl+F or a basic document search tool to find relevant clauses.

    Legal Agent
    0 min
    Agent searches contracts index with full-text query

    Agent queries the contracts Elasticsearch index with the relevant clause keywords and returns ranked matches with source locations.

+ 100s of other Elasticsearch automations
Average monthly
10 hrs / person / month
Average monthly
10 hrs / person / month
Calculator

Calculate what your team saves

Team size
10 person
Hourly rate
$20 / hr
Hours saved / week
25
Hours saved / year
1,250
Annual ROI
$25,000

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.

Connect

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.

1
Open the Apps tab

Find Elasticsearch in the Apps library and click Connect. MCP is selected by default.

2
Authorise your Elastic deployment

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.

3
Test the connection

Actionist runs a read-only call to verify the handshake. You're ready.

Actions

15 action your agent can call

Read and write operations available to your Actionist agent.

Triggers

7 event your agent can react to

Events your agent watches for, and the actions it kicks off in response.

Skills

Skills that pair with Elasticsearch

Reusable agent skills that work well alongside this app.

No paired skills curated yet. Add this app to your agent to discover what fits.
MCP servers

MCP servers that work with Elasticsearch

Connect Actionist to MCP servers built for or around this app.

No MCP servers indexed for this app yet.
FAQs

Questions about Elasticsearch + Actionist

How do I connect Actionist to my Elasticsearch deployment?
Go to the Apps tab, find Elasticsearch, and click Connect. Choose MCP for the fastest setup — you'll need your deployment's Base URL from Elastic Cloud Console. If you're on a self-managed cluster without MCP support, switch to the API Token method and enter your username, password, and Base URL. Actionist verifies the connection with a read-only cluster health check before saving.
What credentials does Actionist need, and what permissions are required?
For MCP, Actionist uses your Elastic deployment's permissioned handshake — no manual credentials required. For basic-auth, create a dedicated Elasticsearch user in Elastic Cloud Console → Security → Users. Assign the minimum required privileges: `read` and `write` on the indices your agents will use, plus `monitor` on the cluster for health checks. Avoid using the elastic superuser account — a scoped role prevents accidental index deletions.
Which Elasticsearch objects can the agent read and write?
Your agent can create, read, update, and delete individual documents; search and run aggregation queries against any index; create, delete, and inspect indices; update index mappings; create index aliases; and check cluster and index health. It operates at the document and index layer — it does not manage cluster nodes, snapshots, or security configuration directly.
Can the agent combine Elasticsearch with other apps in a single workflow?
Yes. A common pattern is to use a trigger from Gmail, Slack, HubSpot, or a calendar event, have the agent search or read from Elasticsearch to pull relevant context, write an enriched document back, and then post results to Slack, Notion, Google Sheets, or another destination. Elasticsearch is load-bearing in these workflows — not a bystander — because near-real-time search results are what make the agent's response specific and useful.
How does Actionist handle large Elasticsearch result sets?
When using Get all documents or a broad search query, Actionist respects the index's `max_result_window` setting (default 10,000 documents). For larger result sets, use a Search documents action with a `size` and `from` parameter for pagination, or use Run aggregation query to compute summaries server-side — moving only the aggregated result rather than millions of raw documents. This keeps agent runs fast and avoids memory issues.
Will the agent cause runaway indexing if a trigger fires on documents it just wrote?
No, as long as you scope your triggers to specific index names that differ from the indices your agent writes to. For example, if your agent indexes to `processed-events`, set your Document indexed trigger to listen on `raw-events` only. Actionist does not currently support native Elasticsearch Change Data Capture — triggers fire on the external event (email, Slack, calendar) that initiates the workflow, not on Elasticsearch write events themselves.
Does the integration support Elasticsearch clusters running on-premises?
Yes. The API Token connection method works with any Elasticsearch cluster reachable over HTTPS, including self-managed deployments. Enter the Base URL of your cluster's HTTP endpoint (e.g. https://es.internal.example.com:9200), along with a username and password. Ensure your Actionist environment can reach the cluster network — if the cluster is behind a VPN or private subnet, you may need to whitelist the Actionist outbound IP range.
How do I avoid breaking live searches when updating an index mapping?
Use the Update index mapping action to add new fields — Elasticsearch supports adding fields without a re-index. If you need to change an existing field's type (e.g., `text` to `keyword`), you must create a new index with the correct mapping, bulk-index the existing documents using Bulk index documents, then use Create index alias to atomically point your alias to the new index. This zero-downtime pattern keeps live searches uninterrupted throughout the migration.