mcp-server-elasticsearch — MCP Server by elastic

by elastic · MCP Server · ★ 643

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About mcp-server-elasticsearch

Elasticsearch MCP Server [!CAUTION] This MCP server is deprecated and will only receive critical security updates going forward. It has been superseded by the Elastic Agent Builder MCP endpoint, which is available in Elastic 9.2.0+ and Elasticsearch Serverless projects. Use the Elasticsearch MCP Server for AI Agents The Elasticsearch MCP Server connects your AI agents to Elasticsearch data using the Model Context Protocol (MCP). It enables natural language interactions with your Elasticsearch indices, allowing agents to query, analyze, and retrieve data without custom APIs. Follow these steps to deploy and configure the Elasticsearch MCP Server container image from AWS Marketplace.

elasticsearchmcpmcp-servervector-database

Quick Facts

Stars643
Forks137
LanguageRust
CategoryMCP Server
LicenseApache-2.0
Quality Score52.206/100
Open Issues18
Last Updated2026-04-14
Created2025-03-24
Platformsmcp, rust
Est. Tokens~37k

mcp-server-elasticsearch alternative? Top 6 similar tools

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Frequently Asked Questions

What is mcp-server-elasticsearch?

mcp-server-elasticsearch is an open-source mcp server by elastic with 643 GitHub stars.

What programming language is mcp-server-elasticsearch written in?

mcp-server-elasticsearch is primarily written in Rust. It covers topics such as elasticsearch, mcp, mcp-server.

How do I install or use mcp-server-elasticsearch?

You can find installation instructions and usage details in the mcp-server-elasticsearch GitHub repository at github.com/elastic/mcp-server-elasticsearch. The project has 643 stars and 137 forks, indicating an active community.

What license does mcp-server-elasticsearch use?

mcp-server-elasticsearch is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to mcp-server-elasticsearch?

The top alternatives to mcp-server-elasticsearch on Agent Skills Hub include mcp-memory-service, Wax, yu-ai-agent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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