No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by elastic · MCP Server · ★ 718
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-server-elasticsearch safe to install? View the security audit →
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 It has been superseded by the Elastic Agent Builder MCP endpoint, which is available in Elastic 9.2.0+ and Elasticsearch Serverless projects.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.
| Stars | 718 |
| Forks | 154 |
| Language | Rust |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 64.3675377132555/100 |
| Open Issues | 23 |
| Last Updated | 2026-09-18 |
| Created | 2025-03-24 |
| Platforms | mcp, rust |
| Est. Tokens | ~24k |
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mcp-server-elasticsearch is an open-source mcp server by elastic with 718 GitHub stars.
mcp-server-elasticsearch is primarily written in Rust. It covers topics such as elasticsearch, mcp, mcp-server.
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 718 stars and 154 forks, indicating an active community.
mcp-server-elasticsearch is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to mcp-server-elasticsearch on Agent Skills Hub include mcp-memory-service, Wax, MCP-Chinese-Getting-Started-Guide. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: