elasticsearch-mcp-serverA Model Context Protocol (MCP) server implementation that provides Elasticsearch and OpenSearch interaction.
Overview
Key features
- General API request tool
- Index operations (list, get, create, delete)
- Document operations (search, index, get, delete)
- Cluster operations (get health, get stats)
- Alias operations (list, get, put, delete)
- Analyzer operations (analyze text)
Pricing
- Model
- Free
- Category
- MCP Servers
- Rating
- No reviews yet
Use cases
Elasticsearch Cluster Management
Use the elasticsearch-mcp-server to manage an Elasticsearch cluster, including creating and deleting indices, searching documents, and analyzing cluster health.
OpenSearch Data Analysis
Utilize the elasticsearch-mcp-server to interact with an OpenSearch cluster, performing operations such as searching documents, analyzing text, and managing data streams.
Pros & Cons
Pros
- Provides a unified interface for interacting with Elasticsearch and OpenSearch
- Supports various operations, including searching documents, analyzing indices, and managing clusters
- Configurable using environment variables for authentication and cluster settings
Cons
- May require additional configuration for specific use cases
- Limited information on scalability and performance
Reviews
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Q&A
What operations are supported?
The server supports general operations, index operations, document operations, cluster operations, alias operations, and analyzer operations.
Asked by Sven Bergqvist · Dec 22, 2025
How is the server configured?
The server can be configured using environment variables, such as setting usernames, passwords, and cluster configurations.
Asked by Priyanka Menon · Nov 21, 2025
What authentication methods are available?
The server supports basic authentication and API key authentication.
Asked by Elena Rossi · Nov 17, 2025
What databases are supported?
The elasticsearch-mcp-server supports Elasticsearch and OpenSearch interaction.
Asked by Emiliano Vargas · Oct 21, 2025
What’s included in initial troubleshooting?
For initial troubleshooting, the assigned Premium Support Engineer or Customer Reliability Engineer will review and acknowledge your ticket. They may request additional information such as screenshots, error messages, log files, diagnostics files, support bundles, or command output. They may also collaborate with other support teams or engineers, and if a callback was requested, they may initiate a screen‑sharing session to drive resolution.
Asked by Thandiwe Dlamini · Sep 8, 2025
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