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mcp-server-elasticsearch

Active·★ 666·Apache-2.0·Updated 2026-05-28
★ RAG / Knowledge Base★ Data Processing

No description provided.

The Elasticsearch MCP Server enables AI agents to query, analyze, and retrieve data from Elasticsearch indices using natural language. It supports both stdio and streamable-HTTP protocols, and can be deployed as a Docker container from AWS Marketplace. Note: This server is deprecated and superseded by the Elastic Agent Builder MCP endpoint.

#elasticsearch#mcp#mcp-server#mcp-servers#vector-database
$ Install
$ docker run -i --rm -e ES_URL -e ES_API_KEY docker.elastic.co/mcp/elasticsearch stdio
↗ Visit site★ GitHub
01

Features

01Natural language querying of Elasticsearch indices
02Supports stdio and streamable-HTTP protocols
03Docker container deployment from AWS Marketplace
04Provides tools: list_indices, get_mappings, search, esql, get_shards
05Secure credential handling via environment variables
02

Compatibility

Docker
Docker
Verified via docs
MCP Clients
Claude Desktop, Cursor, VS Code
Verified via docs
Elasticsearch
Elasticsearch 8.x/9.x
Verified via docs
03

Quick start

1
$ docker run -i --rm -e ES_URL -e ES_API_KEY docker.elastic.co/mcp/elasticsearch stdio
04

Use cases

↳Enable AI agents to query Elasticsearch indices using natural language
↳Perform advanced data analysis using ES|QL through agent conversations
↳Connect MCP-compatible clients (e.g., Claude Desktop) to Elasticsearch data
05

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Related searches

mcp-server-elasticsearch AlternativesBest RAG / Knowledge Base Tools 2026Open Source RAG / Knowledge Basemcp-server-elasticsearch Tutorialmcp-server-elasticsearch Vs Competitorselasticsearchmcpmcp-server

Comments

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  • S
    Spencer WilsonApr 25, 2026

    Connecting to Elastic Cloud was a breeze, just needed to supply the cloud ID and API key.

  • Harley Lee
    Harley LeeApr 2, 2026

    Really neat implementation. Claude can now search through millions of documents in milliseconds.

  • R
    Remy WilsonMar 23, 2026

    Does this support hybrid search (dense + sparse vector) out of the box, or is it keyword only?

  • P
    Parker ClarkMar 11, 2026

    Initial setup took about 5 minutes. The vector database integration makes semantic search seamless.

  • S
    Skyler MartinezFeb 26, 2026

    Extremely useful for giving AI agents RAG capabilities directly over our existing log indexes.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 666
Last commit2d ago
StatusActive
LicenseApache-2.0
CategoryRAG / Knowledge Base
Trend (30d)
+26.6↑ 0.7%
Links
Documentation↗Discussion↗Issues↗Releases↗

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