Elasticsearch Integration with MCP - Multi-team and multi-environment support
Overview
What is Elasticsearch MCP Server?
Elasticsearch MCP Server is a Model Context Protocol (MCP) server designed for integrating Elasticsearch with support for multiple teams and environments. It enables AI assistants to efficiently search exceptions, analyze patterns, and query logs across various teams in a secure manner.
How to use Elasticsearch MCP Server?
To use the server, install it via npm and configure the necessary environment variables and team settings in a JSON configuration file. You can run the server in either STDIO mode for MCP clients or HTTP mode for web interfaces.
Key features of Elasticsearch MCP Server?
- Multi-team support with individual Elasticsearch clusters
- Multi-environment support for development, staging, and production
- Flexible exception search with filtering and sorting
- Deep analysis of exceptions with suggested solutions
- Trend analysis for exception patterns and service health
- Log search capabilities with various filters
- Connection testing for Elasticsearch clusters
- Support for both HTTP and STDIO transport protocols
Use cases of Elasticsearch MCP Server?
- Investigating exceptions related to specific commits or pull requests.
- Monitoring service health by analyzing exception trends over time.
- Debugging application issues by searching logs for specific error messages.
FAQ from Elasticsearch MCP Server?
- Can I configure multiple teams?
Yes! The server supports multiple teams, each with its own Elasticsearch cluster.
- How do I install the server?
You can install it using npm with the command
npm install.
- What transport protocols does it support?
The server supports both HTTP+SSE and STDIO transport protocols.