Elastic Enterprise Search

Elastic Enterprise Search MCP Connector for Claude

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Manage enterprise search via Elastic — search engines and documents, handle indexing, and monitor search analytics directly from any AI agent.

6 tools Official Updated Jun 28, 2026 Official Vinkius Partner

Connect your Elastic Enterprise Search deployment to any AI agent and take full control of your application search engines and workplace discovery through natural conversation.

What you can do

  • Engine Orchestration — Iterate through explicit engine containers managing logical indexing schemas and search spaces completely
  • Search & Discovery — Resolve semantic or literal queries enforcing deep contextual matches against structured enterprise scopes seamlessly
  • Document Indexing — Command explicit bulk payload ingestions triggering native pipeline mappings to store and update document collections synchronously
  • Metadata Inspection — Analyze specific global bounds fetching discrete index layouts and extracting linguistic configuration nodes cleanly
  • Analytics Auditing — Generate precise internal metric tracking isolating usage insights and calculating exact click log data to monitor performance
  • Catalog Retrieval — Extract explicitly attached REST arrays mapping exact document payloads fetching physical raw records flawlessly

How it works

  1. Subscribe to this server
  2. Enter your Elastic Enterprise Search URL and API Key (found in Kibana > Stack Management > Security > API Keys)
  3. Start managing your search engines from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Search Engineers — monitor engine configurations and test search relevance without manual API testing
  • Software Developers — index documents and verify search results directly from the IDE or chat
  • Data Analysts — audit search analytics and monitor click logs using natural language conversation
  • Ops Teams — verify engine health and manage document indexing pipelines in real-time
enterprise-searchindexingsemantic-searchworkplace-discoverydata-retrievalsearch-analytics

6 tools expose this connector's capabilities to your AI agent.

list_engines

List engines

get_engine

Get engine

search

Search documents within an engine

list_documents

List indexed documents in an engine

index_documents

Index newly created JSON documents targeting specific schemas

analytics

Get search analytics

See how to talk to your AI agent using Elastic Enterprise Search.

List all search engines in my Elastic deployment

I found 3 engines: 'e-commerce-products', 'help-center-docs', and 'blog-posts'. Would you like to see the configuration or search documents in any of these?

Search for 'api integration' in engine 'help-center-docs'

Searching 'help-center-docs'... I found 5 matching documents. The most relevant is 'REST API Authentication Guide' (Score: 12.5). I can retrieve the full text or metadata for you.

Show me search analytics for engine 'e-commerce-products'

Retrieving analytics for 'e-commerce-products'... In the last 7 days, there were 5,000 queries with an 8% click-through rate. Top queries: 'shoes', 'backpack', 't-shirt'. Would you like a more detailed breakdown?

Yes. Use the 'list_engines' tool. The agent iterates through your engine containers, managing logical indexing schemas and providing a complete map of your search spaces.

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