- Elasticsearch MCP Server by CData
Elasticsearch MCP Server by CData
What is Elasticsearch MCP Server by CData?
Elasticsearch MCP Server by CData is a read-only Model Context Protocol (MCP) server that allows large language models (LLMs) to query live data from Elasticsearch without needing to write SQL queries. It utilizes the CData JDBC Driver for Elasticsearch to expose data as relational SQL models.
How to use Elasticsearch MCP Server?
To use the server, clone the repository, build the server, install the CData JDBC Driver, configure your connection, and create a configuration file for your AI client (e.g., Claude Desktop). Finally, run the server using the provided command.
Key features of Elasticsearch MCP Server?
- Provides a read-only interface for querying Elasticsearch data.
- Allows natural language queries without SQL.
- Integrates with various data sources through the CData JDBC Driver.
Use cases of Elasticsearch MCP Server?
- Querying live data from Elasticsearch using natural language.
- Integrating with AI clients for data retrieval.
- Simplifying data access for non-technical users.
FAQ from Elasticsearch MCP Server?
- Can I write data to Elasticsearch using this server?
No, this server is read-only. For write capabilities, use the full CData MCP Server for Elasticsearch.
- Is there a trial version available?
Yes, you can download a trial version of the CData JDBC Driver for Elasticsearch.
- What types of data sources can I connect to?
The server supports a wide range of data sources, including Salesforce, Google Sheets, and many more.
Server Config
{
"mcpServers": {
"{classname_dash}": {
"command": "PATH\\TO\\java.exe",
"args": [
"-jar",
"PATH\\TO\\CDataMCP-jar-with-dependencies.jar",
"PATH\\TO\\elasticsearch.prp"
]
}
}
}