Analytics and Data

Elasticsearch

Distributed search and analytics engine capable of full-text search, structured search, analytics, and logging, powering a wide range of real-time data use cases.

Elasticsearch MCP, Integrations & Automations for Enterprise AI Agents

Connect your AI agents to Elasticsearch MCP in minutes. No field mapping. No code required. Adopt AI's zero-shot API discovery means your agents understand Elasticsearch's schema on first contact - and can act on it instantly.

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What Your AI Agents Can Do

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Create Role on Elasticsearch
PUT /_security/role/{name}.
Create API Key on Elasticsearch
POST /_security/api_key with body_json (X-Pack).
Delete Document on Elasticsearch
DELETE /{index}/_doc/{id}.
Update Settings on Elasticsearch
PUT /{index}/_settings.
Delete Template on Elasticsearch
DELETE /_index_template/{name}.
Explain on Elasticsearch
GET/POST explain why document matches. Pass index, id, body_json query.
Reindex on Elasticsearch
POST /_reindex with body_json.
Update By Query on Elasticsearch
POST /{index}/_update_by_query with body_json.
Index Document on Elasticsearch
PUT /{index}/_doc/{id} with body_json.
Refresh Index on Elasticsearch
POST /{index}/_refresh.
Multi Search Template on Elasticsearch
POST /_msearch/template with ndjson.
Search on Elasticsearch
POST /{index}/_search with full query DSL (query, size, from, sort, _source, aggs, highlight). Returns hits and aggregations. Use ES_COUNT for counts only.
Cluster Settings on Elasticsearch
GET /_cluster/settings.
Get Role on Elasticsearch
GET /_security/role/{name}.
Mget on Elasticsearch
POST /_mget with docs ids JSON.
Put Ilm Policy on Elasticsearch
PUT /_ilm/policy/{name}.
Restore Snapshot on Elasticsearch
POST /_snapshot/{repo}/{snapshot}/_restore.
Agg Query on Elasticsearch
Search with size 0 and aggs_json only.
Task Cancel on Elasticsearch
POST /_tasks/_cancel.
Open Index on Elasticsearch
POST /{index}/_open.
Term Search on Elasticsearch
Filter by exact term: {term:{field,value}}.
Get Ilm Policy on Elasticsearch
GET /_ilm/policy/{name}.
List Snapshots on Elasticsearch
GET /_snapshot/{repo}/_all.
Clear Scroll on Elasticsearch
DELETE /_search/scroll.
Cluster Stats on Elasticsearch
GET /_cluster/stats.
Create Document on Elasticsearch
POST /{index}/_doc auto-id.
Count on Elasticsearch
POST /{index}/_count with optional query JSON.
List Indices on Elasticsearch
GET /_cat/indices?format=json.
Scroll Search on Elasticsearch
POST /_search/scroll with scroll_id and scroll duration.
List Templates on Elasticsearch
GET /_index_template.
List Aliases on Elasticsearch
GET /_cat/aliases?format=json or GET /_alias.
Get Template on Elasticsearch
GET /_index_template/{name}.
Bool Query on Elasticsearch
Bool query from must_json, filter_json, should_json arrays (JSON strings).
Create Snapshot on Elasticsearch
PUT /_snapshot/{repo}/{snapshot} with body_json.
Put Template on Elasticsearch
PUT /_index_template/{name} with body_json.
Node Stats on Elasticsearch
GET /_nodes/stats.
Delete Snapshot on Elasticsearch
DELETE /_snapshot/{repo}/{snapshot}.
Alias Add on Elasticsearch
POST /_aliases with actions JSON array.
Update Document on Elasticsearch
POST /{index}/_update/{id} with doc or script in body_json.
Create Index on Elasticsearch
PUT /{index} with optional settings/mappings body_json.
Put Mapping on Elasticsearch
PUT /{index}/_mapping.
Delete Ilm Policy on Elasticsearch
DELETE /_ilm/policy/{name}.
List Roles on Elasticsearch
GET /_security/role.
Cluster Info on Elasticsearch
GET / root cluster info.
Rank Eval on Elasticsearch
POST /_rank_eval with body_json.
Terms Enum on Elasticsearch
POST /{index}/_terms_enum for keyword fields.
Alias Remove on Elasticsearch
Remove alias via _aliases actions .
Get Settings on Elasticsearch
GET /{index}/_settings.
Delete By Query on Elasticsearch
POST /{index}/_delete_by_query.
Cluster Health on Elasticsearch
GET /_cluster/health.
Put Cluster Settings on Elasticsearch
PUT /_cluster/settings transient/persistent JSON.
Invalidate API Key on Elasticsearch
DELETE /_security/api_key.
Get API Key on Elasticsearch
GET /_security/api_key.
Field Caps on Elasticsearch
GET /{index}/_field_caps?fields=.
Range Query on Elasticsearch
Range filter on numeric/date field with gte/lte JSON.
Close Index on Elasticsearch
POST /{index}/_close.
Simple Search on Elasticsearch
Multi-match style: builds query from index + text + fields comma-list. Quick full-text search.
Search Template on Elasticsearch
POST /_scripts/{id}/_render or search template id execution on index. Pass template_id and params_json.
Get Document on Elasticsearch
GET /{index}/_doc/{id}.
Get Mapping on Elasticsearch
GET /{index}/_mapping.
Msearch on Elasticsearch
POST /_msearch NDJSON body (raw). Pass ndjson_body string with header+body lines.
Bulk on Elasticsearch
POST /_bulk with ndjson_body (raw NDJSON).

Connect Elasticsearch MCP using Adopt AI in 3 Simple Steps

  1. Run a single command in your terminal to install the Elasticsearch MCP server locally, no complex setup, no cloud dependency.
  2. A browser window opens automatically, where you can securely authenticate with your Elasticsearch account with one click.
  3. Restart your AI client, and your agents instantly have full access to indices, documents, queries, and every Elasticsearch object, ready to read, write, and automate.

Use Cases for Elasticsearch MCP

1. Intelligent Log Analysis & Alerting

AI agents query Elasticsearch indices to detect anomalies in application logs, infrastructure metrics, and security events, triggering alerts in real time.


2. Full-Text Search Enhancement

AI agents manage Elasticsearch indices to power fast, relevant search across products, documentation, and knowledge bases with dynamic ranking and filtering.


3. Real-Time Analytics Dashboards

Automatically aggregate and query data in Elasticsearch to build live dashboards showing business metrics, user behavior, and operational health.


4. Security Information & Event Management

AI agents ingest and correlate security events in Elasticsearch, identify threat patterns, and generate incident reports for security operations teams.


5. Data Pipeline Monitoring

AI agents track data ingestion rates, index health, and query performance in Elasticsearch, flagging bottlenecks and ensuring data pipelines run smoothly.

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Frequently Asked Questions

Do I need my own developer credentials to use Elasticsearch MCP with Adopt AI?

No, you can get started immediately using Adopt AI's built-in Elasticsearch integration. For production use, we recommend configuring your own API credentials for greater control and security.


Can I connect Elasticsearch with other apps through Adopt AI?

Yes! Adopt AI supports multi-app workflows, so your AI agents can seamlessly move data between Elasticsearch and databases, monitoring tools, analytics platforms, and more.


Is Adopt AI secure?

Absolutely. Adopt AI is SOC 2 Type 2 certified and ISO/IEC 27001 compliant, and adheres to EU GDPR, CCPA, and HIPAA standards. All data is encrypted in transit and at rest, ensuring the confidentiality, integrity, and availability of your data. Learn more here.


What happens if the Elasticsearch API changes?

Adopt AI maintains and updates all integrations automatically, so your agents always work with the latest API versions, no manual maintenance required.


Do I need coding skills to set up the Elasticsearch integration?

Not at all. Adopt AI's zero-shot API discovery means your agents understand Elasticsearch's schema on first contact. Setup takes minutes with no code required.


How do I set up custom Elasticsearch MCP in Adopt AI?

For a step-by-step guide on creating and configuring your own Elasticsearch API credentials with Adopt AI, see here.