Which Elasticsearch versions are supported?
Elasticsearch 7.x is required; version 7.17.x is recommended.
@imlewc
Basic information
elasticsearch7 mcp server
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"elasticsearch7-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@imlewc/elasticsearch7-mcp-server",
"--client",
"claude"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
Elasticsearch 7.x MCP Server is an MCP (Model Context Protocol) server that provides a protocol interface for interacting with Elasticsearch 7.x clusters. It is designed for developers who need to query and manage Elasticsearch 7.x (7.17.x recommended) directly from any MCP-compatible client.
Install via Smithery (npx -y @smithery/cli install @imlewc/elasticsearch7-mcp-server --client claude) or manually (pip install -e .). Configure environment variables ELASTIC_HOST, ELASTIC_USERNAME, ELASTIC_PASSWORD, and optionally MCP_PORT (default 9999). Run the server with elasticsearch7-mcp-server or use the provided Docker Compose setup. Connect an MCP client to localhost:9999 and call methods like es-ping, es-info, and es-search.
es-pinges-infoes-searchElasticsearch 7.x is required; version 7.17.x is recommended.
Python 3.10 or higher and a running Elasticsearch 7.x cluster.
Set the environment variables `ELASTIC_HOST`, `ELASTIC_USERNAME`, `ELASTIC_PASSWORD`, and optionally `MCP_PORT` (default 9999).
Yes, a `docker-compose.yml` is provided to start a three-node Elasticsearch 7.17.10 cluster, Kibana, and the MCP server. Create a `.env` file with `ELASTIC_PASSWORD` and run `docker-compose up -d`.
The server listens on a TCP port (default 9999) for MCP client connections and authenticates to Elasticsearch using the provided username and password.
MCP server for interacting with Neon Management API and databases
MCP server for interacting with Neon Management API and databases
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
A Model Context Protocol server to connect to MongoDB databases and MongoDB Atlas Clusters.
An official Qdrant Model Context Protocol (MCP) server implementation
Comments