Provides configuration of OpenSearch connection details through environment variables stored in a .env file.
Allows running the server directly from GitHub using npx without cloning the repository, with options to specify branches or commits.
Serves as the runtime environment for the MCP server, requiring version 16 or higher.
Enables package management and script execution for server operations like starting in various modes (stdio, debug, dev, inspect).
Enables querying and analyzing Wazuh security logs stored in OpenSearch, with features for searching alerts with advanced filtering, retrieving detailed alert information, generating security event statistics, and visualizing alert trends over time.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@OpenSearch MCP Servershow me high severity alerts from the last 24 hours"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
OpenSearch MCP Server
A Model Context Protocol (MCP) server for querying and analyzing Wazuh security logs stored in OpenSearch.
Features
Search for security alerts with advanced filtering
Get detailed information about specific alerts
Generate statistics on security events
Visualize alert trends over time
Progress reporting for long-running operations
Structured error handling
Related MCP server: OpenSearch MCP Server
Prerequisites
Node.js v16 or higher
Access to an OpenSearch instance containing Wazuh security logs
Installation
Option 1: Use with npx directly from GitHub (recommended)
You can run this tool directly using npx without cloning the repository:
# Run the latest version from GitHub
npx github:jetbalsa/mcp-opensearch-js
# Run with debug mode enabled
npx github:jetbalsa/mcp-opensearch-js --debug
# You can also specify a specific branch or commit
npx github:jetbalsa/mcp-opensearch-js#mainOption 2: Local Installation
Clone this repository:
git clone https://github.com/jetbalsa/mcp-opensearch-js.git
cd mcp-opensearch-jsInstall dependencies:
npm installConfigure your environment variables:
cp .env.example .envEdit the
.envfile with your OpenSearch connection details:
OPENSEARCH_URL=https://your-opensearch-endpoint:9200
OPENSEARCH_USERNAME=your-username
OPENSEARCH_PASSWORD=your-password
DEBUG=falseRunning the Server
Start the server:
npm startThis will start the server in stdio mode.
Enable debug logging:
npm run stdio:debugTest with MCP CLI:
npm run devThis runs the server with the FastMCP CLI tool for interactive testing.
Test with MCP Inspector:
npm run inspectThis starts the server and connects it to the MCP Inspector for visual debugging.
Server Tools
The server provides the following tools:
1. Search Alerts
Search for security alerts in Wazuh data.
Parameters:
query: The search query texttimeRange: Time range (e.g., 1h, 24h, 7d)maxResults: Maximum number of results to returnindex: Index pattern to search
2. Get Alert Details
Get detailed information about a specific alert by ID.
Parameters:
id: The alert IDindex: Index pattern
3. Alert Statistics
Get statistics about security alerts.
Parameters:
timeRange: Time range (e.g., 1h, 24h, 7d)field: Field to aggregate by (e.g., rule.level, agent.name)index: Index pattern
4. Visualize Alert Trend
Visualize alert trends over time.
Parameters:
timeRange: Time range (e.g., 1h, 24h, 7d)interval: Time interval for grouping (e.g., 1h, 1d)query: Query to filter alertsindex: Index pattern
Example Usage
Using the MCP CLI tool:
> tools
Available tools:
- searchAlerts: Search for security alerts in Wazuh data
- getAlertDetails: Get detailed information about a specific alert by ID
- alertStatistics: Get statistics about security alerts
- visualizeAlertTrend: Visualize alert trends over time
> tools.searchAlerts(query: "rule.level:>10", timeRange: "12h", maxResults: 5)Using with a Client
To use this MCP server with a client implementation:
import { Client } from "@modelcontextprotocol/sdk";
import { SSEClientTransport } from "@modelcontextprotocol/sdk/client/sse.js";
const client = new Client(
{
name: "example-client",
version: "1.0.0",
},
{
capabilities: {},
},
);
const transport = new SSEClientTransport(new URL(`http://localhost:3000/sse`));
await client.connect(transport);
// Use tools
const result = await client.executeTool("searchAlerts", {
query: "rule.level:>10",
timeRange: "24h",
maxResults: 10
});
console.log(result);License
MIT