mcp-server-elasticsearch
The Elasticsearch MCP Server allows users to connect and interact with their Elasticsearch data through natural language queries using the Model Context Protocol. It is intended for research and experimental use, providing various tools to manage and query data indices efficiently.
What is the purpose of the Elasticsearch MCP Server?
The Elasticsearch MCP Server connects agents to Elasticsearch data using the Model Context Protocol, allowing for natural language interaction with Elasticsearch indices.
What are the prerequisites for using the Elasticsearch MCP Server?
You need an Elasticsearch instance, authentication credentials (API key or username/password), and an MCP Client like Claude Desktop.
How can I start a conversation with my Elasticsearch data?
Configure your MCP Client with the Elasticsearch MCP Server settings, start a new conversation, and the server will connect automatically, allowing you to ask questions about your data.
What security measures should I take when using the Elasticsearch MCP Server?
Avoid using cluster-admin privileges, create dedicated API keys with limited scope, and apply fine-grained access control at the index level.
How can I contribute to the Elasticsearch MCP Server project?
Contributions are welcome! Please refer to the Contributing Guidelines in the project's documentation for more details.