Overview: Filter by exact term: {term:{field,value}} through Elasticsearch.
Benefits:
Common Use Cases:
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.
GET /_tasks.
PUT /_security/role/{name}.
POST /_security/api_key with body_json (X-Pack).
DELETE /{index}/_doc/{id}.
PUT /{index}/_settings.
DELETE /_index_template/{name}.
GET/POST explain why document matches. Pass index, id, body_json query.
POST /_reindex with body_json.
POST /{index}/_update_by_query with body_json.
PUT /{index}/_doc/{id} with body_json.
POST /{index}/_refresh.
POST /_msearch/template with ndjson.
POST /{index}/_search with full query DSL (query, size, from, sort, _source, aggs, highlight). Returns hits and aggregations. Use ES_COUNT for counts only.
GET /_cluster/settings.
GET /_security/role/{name}.
GET /{index}.
POST /_mget with docs ids JSON.
PUT /_ilm/policy/{name}.
POST /_snapshot/{repo}/{snapshot}/_restore.
Search with size 0 and aggs_json only.
POST /_tasks/_cancel.
POST /{index}/_open.
GET /_ilm/policy/{name}.
GET /_snapshot/{repo}/_all.
DELETE /_search/scroll.
GET /_cluster/stats.
POST /{index}/_doc auto-id.
POST /{index}/_count with optional query JSON.
GET /_cat/indices?format=json.
POST /_search/scroll with scroll_id and scroll duration.
GET /_index_template.
GET /_cat/aliases?format=json or GET /_alias.
GET /_index_template/{name}.
Bool query from must_json, filter_json, should_json arrays (JSON strings).
PUT /_snapshot/{repo}/{snapshot} with body_json.
PUT /_index_template/{name} with body_json.
GET /_nodes/stats.
DELETE /_snapshot/{repo}/{snapshot}.
POST /_aliases with actions JSON array.
POST /{index}/_update/{id} with doc or script in body_json.
PUT /{index} with optional settings/mappings body_json.
PUT /{index}/_mapping.
DELETE /_ilm/policy/{name}.
GET /_security/role.
GET / root cluster info.
POST /_rank_eval with body_json.
POST /{index}/_terms_enum for keyword fields.
Remove alias via _aliases actions .
GET /{index}/_settings.
POST /{index}/_delete_by_query.
GET /_cluster/health.
PUT /_cluster/settings transient/persistent JSON.
DELETE /_security/api_key.
GET /_security/api_key.
DELETE /{index}.
GET /{index}/_field_caps?fields=.
Range filter on numeric/date field with gte/lte JSON.
POST /{index}/_close.
GET /_nodes.
Multi-match style: builds query from index + text + fields comma-list. Quick full-text search.
POST /_scripts/{id}/_render or search template id execution on index. Pass template_id and params_json.
GET /{index}/_doc/{id}.
GET /{index}/_mapping.
POST /_msearch NDJSON body (raw). Pass ndjson_body string with header+body lines.
POST /_bulk with ndjson_body (raw NDJSON).
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.
