by elastic · MCP Server · ★ 725
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: MCP Database Tools
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 725 |
| Forks | 161 |
| Language | Rust |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 64/100 |
| Open Issues | 25 |
| Last Updated | 2026-10-22 |
| Created | 2025-03-24 |
| Platforms | mcp, rust |
| Est. Tokens | ~24k |
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 It has been superseded by the Elastic Agent Builder MCP endpoint, which is available in Elastic 9.2.0+ and Elasticsearch Serverless projects.
Looking for a mcp-server-elasticsearch alternative? If you're comparing mcp-server-elasticsearch with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowl
Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple S
Model Context Protocol(MCP) 编程极速入门
Open-source AI assistant ecosystem with MCP integrations, multimodal workflows, IoT support, and cross-platfor
编程导航 2025 年 AI 开发实战新项目，基于 Spring Boot 3 + Java 21 + Spring AI 构建 AI 恋爱大师应用和 ReAct 模式自主规划智能体YuManus，覆盖 AI 大模型接入
RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in differen
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: