Elasticsearch

平台与服务

by tocharianou

支持多版本(ES 5.x-9.x)的 Elasticsearch MCP Server,适用于安全分析与威胁研判。

什么是 Elasticsearch

支持多版本(ES 5.x-9.x)的 Elasticsearch MCP Server,适用于安全分析与威胁研判。

README

Elasticsearch MCP Server

npm version Downloads Ask DeepWiki

Enhanced Elasticsearch MCP Server Solution - Security & Threat Analysis Focused

This is a professional security-focused solution maintained by TocharianOU. It enables comprehensive interaction with all Elasticsearch APIs, specifically optimized for security analysis, threat detection, and incident investigation. Features include advanced security monitoring, anomaly detection, threat hunting, root cause analysis, and comprehensive audit capabilities.

Key Security Features:

  • Real-time threat detection and security monitoring
  • Advanced machine learning for anomaly detection
  • Root cause analysis and attack chain tracking
  • Security incident investigation and forensics
  • Compliance monitoring and audit reporting

Note: This solution requires a valid Elasticsearch license (trial, platinum, or enterprise) and is designed for security professionals, SOC teams, and threat analysts.

Connect to your Elasticsearch data directly from any MCP Client (such as Claude Desktop) using the Model Context Protocol (MCP). Interact with your Elasticsearch security data through natural language queries for advanced threat analysis and incident response.

Prerequisites

  • An Elasticsearch instance
  • A valid Elasticsearch license (trial, platinum, enterprise) is required.
  • Elasticsearch authentication credentials (API key or username/password)
  • MCP Client (e.g. Claude Desktop) or HTTP client for remote access

⚠️ This project requires your Elasticsearch cluster to have a valid license. If you do not have a license, you can activate a trial license as shown below.

Multi-Version Elasticsearch Support

Automatically supports Elasticsearch 5.x - 9.x with intelligent version detection:

VersionStatusClientNotes
ES 5.x5.6.22EOL - Basic tools only
ES 6.x6.8.8EOL - ILM available (6.6+)
ES 7.x7.17.14LTS - Full features
ES 8.x8.19.1Recommended - Latest features, ES|QL (8.11+)
ES 9.x+Auto-fallbackFuture-ready

Key Features:

  • Automatic version detection - No manual configuration needed
  • Smart client selection - Loads the right client for your ES version
  • Adaptive features - Disables unsupported tools (e.g., Data Streams on ES < 7.9, ES|QL on ES < 8.11)
  • Version-specific optimizations - Handles API differences transparently

What happens:

code
Connect → Detect ES version → Load matching client → Register compatible tools

SSL/TLS Connection

To connect to Elasticsearch with a self-signed certificate or in a test environment, you can set the following environment variable:

bash
NODE_TLS_REJECT_UNAUTHORIZED=0

⚠️ This disables Node.js SSL certificate validation. Use only in development or testing environments. For production, always use a trusted CA certificate.

Installation & Setup

  1. Start a Conversation
    • Open a new conversation in your MCP Client
    • The MCP server should connect automatically
    • You can now ask questions about your Elasticsearch data

Configuration Options

The Elasticsearch MCP Server supports the following configuration options:

Elasticsearch Configuration

Environment VariableDescriptionRequired
ES_URLYour Elasticsearch instance URLYes
ES_API_KEYElasticsearch API key for authenticationNo
ES_USERNAMEElasticsearch username for basic authenticationNo
ES_PASSWORDElasticsearch password for basic authenticationNo
ES_CA_CERTPath to custom CA certificate for Elasticsearch SSL/TLSNo
NODE_TLS_REJECT_UNAUTHORIZEDSet to 0 to disable SSL certificate validationNo

Transport Mode Configuration (NEW in v0.3.0)

Environment VariableDescriptionDefaultValues
MCP_TRANSPORTTransport mode selectionstdiostdio, http
MCP_HTTP_PORTHTTP server port (when using HTTP transport)30001-65535
MCP_HTTP_HOSTHTTP server host (when using HTTP transport)localhostAny valid host

Transport Mode Details:

  • Stdio mode (default): For Claude Desktop and local MCP clients
  • HTTP Streamable mode: Runs as a standalone HTTP server for remote access, API integration, and web applications

Quick Start

Option 1: NPM Installation (Recommended)

  1. Install globally via NPM

    bash
    npm install -g @tocharianou/elasticsearch-mcp
    
  2. Run directly

    bash
    npx @tocharianou/elasticsearch-mcp
    

Option 2: GitHub Release (Standalone Package)

  1. Download release package

    • Go to GitHub Releases
    • Download the latest .tar.gz file and its checksum files (.sha256 and .sha512)
  2. Verify package integrity

    bash
    shasum -a 256 -c elasticsearch-mcp-v*.tar.gz.sha256
    # Should output: elasticsearch-mcp-v*.tar.gz: OK
    
  3. Extract and use

    bash
    mkdir elasticsearch-mcp && cd elasticsearch-mcp
    tar -xzf ../elasticsearch-mcp-v*.tar.gz
    
    # Run with your Elasticsearch credentials
    ES_URL=https://localhost:9200 ES_API_KEY=your-key node dist/index.js
    

Option 3: Source Installation

  1. Clone the repository

    bash
    git clone https://github.com/TocharianOU/elasticsearch-mcp.git
    cd elasticsearch-mcp
    
  2. Install Dependencies

    bash
    npm install
    
  3. Build the Project

    bash
    npm run build
    
  4. Configure Claude Desktop App

    • Open Claude Desktop App
    • Go to Settings > Developer > MCP Servers
    • Click Edit Config and add a new MCP Server with the following configuration:

    For NPM Installation:

    json
    {
      "mcpServers": {
        "elasticsearch-mcp-server": {
          "command": "npx",
          "args": [
            "@tocharianou/elasticsearch-mcp"
          ],
          "env": {
            "ES_URL": "your-elasticsearch-url",
            "ES_USERNAME": "elastic",
            "ES_PASSWORD": "your_pass",
            "NODE_TLS_REJECT_UNAUTHORIZED": "0"
          }
        }
      }
    }
    

    For Source Installation:

    json
    {
      "mcpServers": {
        "elasticsearch-mcp-server-local": {
          "command": "node",
          "args": [
            "/path/to/your/elasticsearch-mcp/dist/index.js"
          ],
          "env": {
            "ES_URL": "your-elasticsearch-url",
            "ES_USERNAME": "elastic",
            "ES_PASSWORD": "your_pass",
            "NODE_TLS_REJECT_UNAUTHORIZED": "0"
          }
        }
      }
    }
    
  5. Debugging with MCP Inspector

    bash
    ES_URL=your-elasticsearch-url ES_USERNAME=elastic ES_PASSWORD=your_pass npm run inspector
    

    This will start the MCP Inspector, allowing you to debug and analyze requests. You should see:

    bash
    Starting MCP inspector...
    Proxy server listening on port 3000
    
    MCP Inspector is up and running at http://localhost:5173
    

Method 3: HTTP Streamable Mode (NEW in v0.3.0)

Run the server as a standalone HTTP service for remote access and API integration:

bash
# Start HTTP server (default port 3000)
MCP_TRANSPORT=http \
ES_URL=your-elasticsearch-url \
ES_USERNAME=elastic \
ES_PASSWORD=your_pass \
npx @tocharianou/elasticsearch-mcp

# Or with custom port and host
MCP_TRANSPORT=http \
MCP_HTTP_PORT=9000 \
MCP_HTTP_HOST=0.0.0.0 \
ES_URL=your-elasticsearch-url \
ES_USERNAME=elastic \
ES_PASSWORD=your_pass \
npx @tocharianou/elasticsearch-mcp

HTTP Streamable Mode Features:

  • Exposes MCP server at http://host:port/mcp endpoint
  • Health check available at http://host:port/health
  • Session-based connection management
  • Supports both POST (JSON-RPC requests) and GET (SSE streams)
  • Compatible with any HTTP client or MCP SDK

Example HTTP client usage:

javascript
// Initialize connection
const response = await fetch('http://localhost:3000/mcp', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    jsonrpc: '2.0',
    method: 'initialize',
    params: {
      protocolVersion: '2024-11-05',
      capabilities: {},
      clientInfo: { name: 'my-client', version: '1.0.0' }
    },
    id: 1
  })
});

const sessionId = response.headers.get('mcp-session-id');

// Subsequent requests include session ID
const toolsResponse = await fetch('http://localhost:3000/mcp', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'mcp-session-id': sessionId
  },
  body: JSON.stringify({
    jsonrpc: '2.0',
    method: 'tools/list',
    params: {},
    id: 2
  })
});

// Call a tool (e.g., list_indices)
const indicesResponse = await fetch('http://localhost:3000/mcp', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'mcp-session-id': sessionId
  },
  body: JSON.stringify({
    jsonrpc: '2.0',
    method: 'tools/call',
    params: {
      name: 'list_indices',
      arguments: {}
    },
    id: 3
  })
});

Available Tools

ToolDescriptionMin Version
list_indicesList indices with pattern filter, health filter, sorting and token-aware summaryES 5.x+
get_mappingsGet field mappings with flat/tree/raw modes, field filtering and multi-index compareES 5.x+
es_searchFull Query DSL search with auto-highlight on text/vector fieldsES 5.x+
execute_es_apiExecute any ES REST endpoint directly (GET/POST/PUT/DELETE/HEAD)ES 5.x+
get_shardsShard info with health analysis, problem detection and recommendationsES 5.x+
list_data_streamsList and analyze Data Streams with ILM info and backing index detailsES 7.9+
esql_queryExecute ES|QL pipe-based queries with tabular output and parameterised supportES 8.11+

Tools not supported by your cluster version are automatically skipped at startup.

ES|QL Query Tool (esql_query)

ES|QL is Elasticsearch's modern pipe-based query language, ideal for analytics and data exploration without complex JSON DSL.

Example queries:

code
FROM logs-* | WHERE level == "error" | STATS count = COUNT(*) BY service | SORT count DESC | LIMIT 20
FROM metrics-* | WHERE @timestamp > NOW() - 1 hour | STATS avg_cpu = AVG(cpu.usage) BY host.name
FROM auditbeat-* | WHERE event.action == "user_login" AND event.outcome == "failure" | LIMIT 50

Parameters:

  • query — the ES|QL string (required)
  • params — positional parameters replacing ? placeholders (optional)
  • include_types — include column type info in output (optional, default false)
  • break_token_rule — bypass token limit for large results (optional, default false)

Automatically registered only on ES 8.11+ clusters.

Contributing

We welcome contributions from the community! For details on how to contribute, please see Contributing Guidelines.

How It Works

  1. The MCP Client analyzes your request and determines which Elasticsearch operations are needed.
  2. The MCP server comunicate with ES.
  3. The MCP Client processes the results and presents them in a user-friendly format, including highlights, aggregation summaries, and anomaly insights.

Security Analysis Examples

[!TIP] Here are security-focused queries you can try with your MCP Client.

Threat Detection:

  • "Analyze brute force attack attempts in the past 24 hours"
  • "Detect abnormal login behavior and suspicious IP addresses in the system"
  • "Identify potential SQL injection attack patterns and malicious requests"
  • "Discover DDoS attack signatures and traffic anomalies in network flows"

Root Cause Analysis:

  • "Trace the complete attack chain and impact scope for specific security incidents"
  • "Analyze root causes and propagation paths of system failures"
  • "Identify data breach sources and involved sensitive information"
  • "Investigate user privilege abuse incidents with timeline and operation records"

Threat Intelligence:

  • "Create machine learning models to detect zero-day attacks and unknown threats"
  • "Establish behavioral baselines and identify activities deviating from normal patterns"
  • "Analyze threat levels and attack history of malicious domains and IP addresses"
  • "Detect behavioral characteristics and attack patterns of Advanced Persistent Threats (APT)"

Real-time Monitoring:

  • "Monitor active threats and ongoing attacks in the current system"
  • "Detect abnormal data access patterns and privilege escalation behaviors"
  • "Discover suspicious network communications and data exfiltration activities"
  • "Identify security causes of abnormal system resource consumption and performance degradation"

Security Best Practices

[!WARNING] Avoid using cluster-admin privileges. Create dedicated API keys with limited scope and apply fine-grained access control at the index level to prevent unauthorized data access.

Package Integrity Verification

When downloading release packages, always verify checksums to ensure integrity:

bash
# Verify SHA256 checksum
shasum -a 256 -c elasticsearch-mcp-vX.Y.Z.tar.gz.sha256

# Verify SHA512 checksum
shasum -a 512 -c elasticsearch-mcp-vX.Y.Z.tar.gz.sha512

This protects against:

  • Corrupted downloads
  • Tampered packages
  • Man-in-the-middle attacks

Elasticsearch Access Control

You can create a dedicated Elasticsearch API key with minimal permissions to control access to your data:

POST
{
  "name": "es-mcp-server-access",
  "role_descriptors": {
    "mcp_server_role": {
      "cluster": [
        "monitor"
      ],
      "indices": [
        {
          "names": [
            "index-1",
            "index-2",
            "index-pattern-*"
          ],
          "privileges": [
            "read",
            "view_index_metadata"
          ]
        }
      ]
    }
  }
}

License

This project is licensed under the Apache License 2.0.

Troubleshooting

  • Ensure your MCP configuration is correct.
  • Verify that your Elasticsearch URL is accessible from your machine.
  • Check that your authentication credentials (API key or username/password) have the necessary permissions.
  • If using SSL/TLS with a custom CA, verify that the certificate path is correct and the file is readable.
  • Look at the terminal output for error messages.

If you encounter issues, feel free to open an issue on the GitHub repository.

Running with a Trial License

If your Elasticsearch cluster does not have a valid license, you can activate a 30-day trial license with the following command:

bash
curl -X POST -u elastic:your_password \
  -k "https://your-es-host:9200/_license/start_trial?acknowledge=true"
  • Replace your_password and your-es-host with your actual credentials and host.
  • This will enable all features for 30 days.

Note: This project will not start if your cluster does not have a valid license (trial, platinum, enterprice etc.).

常见问题

Elasticsearch 是什么?

支持多版本(ES 5.x-9.x)的 Elasticsearch MCP Server,适用于安全分析与威胁研判。

相关 Skills

Slack动图

by anthropics

Universal
热门

面向Slack的动图制作Skill,内置emoji/消息GIF的尺寸、帧率和色彩约束、校验与优化流程,适合把创意或上传图片快速做成可直接发送的Slack动画。

帮你快速做出适配 Slack 的动图,内置约束规则和校验工具,少踩上传与播放坑,做表情包和演示都更省心。

平台与服务
未扫描165.3k

MCP构建

by anthropics

Universal
热门

聚焦高质量 MCP Server 开发,覆盖协议研究、工具设计、错误处理与传输选型,适合用 FastMCP 或 MCP SDK 对接外部 API、封装服务能力。

想让 LLM 稳定调用外部 API,就用 MCP构建:从 Python 到 Node 都有成熟指引,帮你更快做出高质量 MCP 服务器。

平台与服务
未扫描165.3k

接口测试套件

by alirezarezvani

Universal
热门

扫描 Next.js、Express、FastAPI、Django REST 的 API 路由,自动生成覆盖鉴权、参数校验、错误码、分页、上传与限流场景的 Vitest 或 Pytest 测试套件。

帮你把API与集成测试自动化跑顺,减少回归漏测;能力全面,尤其适合复杂接口场景的QA团队。

平台与服务
未扫描23.5k

相关 MCP Server

Slack 消息

编辑精选

by Anthropic

热门

Slack 是让 AI 助手直接读写你的 Slack 频道和消息的 MCP 服务器。

这个服务器解决了团队协作中需要 AI 实时获取 Slack 信息的痛点,特别适合开发团队让 Claude 帮忙汇总频道讨论或发送通知。不过,它目前只是参考实现,文档有限,不建议在生产环境直接使用——更适合开发者学习 MCP 如何集成第三方服务。

平台与服务
89.1k

by netdata

热门

io.github.netdata/mcp-server 是让 AI 助手实时监控服务器指标和日志的 MCP 服务器。

这个工具解决了运维人员需要手动检查系统状态的痛点,最适合 DevOps 团队让 Claude 自动分析性能数据。不过,它依赖 NetData 的现有部署,如果你没用过这个监控平台,得先花时间配置。

平台与服务
79.9k

by d4vinci

热门

Scrapling MCP Server 是专为现代网页设计的智能爬虫工具,支持绕过 Cloudflare 等反爬机制。

这个工具解决了爬取动态网页和反爬网站时的头疼问题,特别适合需要批量采集电商价格或新闻数据的开发者。不过,它依赖外部浏览器引擎,资源消耗较大,不适合轻量级任务。

平台与服务
71.9k

评论