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Mcp Server Elasticsearch
What is Mcp Server Elasticsearch
mcp-server-elasticsearch is a Model Context Protocol server designed for managing Elasticsearch clusters. It allows Large Language Models (LLMs) to manage indices and execute queries effectively.
Use cases
Use cases include searching for documents in large datasets, creating and managing indices for structured data, and integrating with applications that utilize Elasticsearch for backend data processing.
How to use
To use mcp-server-elasticsearch, integrate it into your Claude Desktop configuration by adding it to the ‘mcpServers’ section of your ‘claude_desktop_config.json’. You can also run it using Docker with the provided command.
Key features
Key features include executing search queries, creating new indices, listing available indices, and indexing documents. It also provides mapping information for each index automatically discovered from metadata.
Where to use
mcp-server-elasticsearch is suitable for applications that require efficient data retrieval and management in Elasticsearch, such as data analytics, search engines, and content management systems.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Server Elasticsearch
mcp-server-elasticsearch is a Model Context Protocol server designed for managing Elasticsearch clusters. It allows Large Language Models (LLMs) to manage indices and execute queries effectively.
Use cases
Use cases include searching for documents in large datasets, creating and managing indices for structured data, and integrating with applications that utilize Elasticsearch for backend data processing.
How to use
To use mcp-server-elasticsearch, integrate it into your Claude Desktop configuration by adding it to the ‘mcpServers’ section of your ‘claude_desktop_config.json’. You can also run it using Docker with the provided command.
Key features
Key features include executing search queries, creating new indices, listing available indices, and indexing documents. It also provides mapping information for each index automatically discovered from metadata.
Where to use
mcp-server-elasticsearch is suitable for applications that require efficient data retrieval and management in Elasticsearch, such as data analytics, search engines, and content management systems.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Elasticsearch
A Model Context Protocol server for Elasticsearch clusters. Enables LLMs to manage indices and execute queries.
IMPORTANT NOTE : this was built mainly by feeding examples to claude from the postgres mcp server.
Components
Tools
-
search
- Execute search queries against indices
- Input:
index(string): Target index namequery(object): Elasticsearch query DSL
- Returns search hits
-
create_index
- Create new Elasticsearch indices
- Input:
index(string): Index namemappings(object, optional): Index mappings configurationsettings(object, optional): Index settings configuration
-
list_indices
- List all available indices
- No input required
- Returns array of index information
-
index_document
- Index a document
- Input:
index(string): Target index nameid(string, optional): Document IDdocument(object): Document content
- Returns indexing operation result
Resources
The server provides mapping information for each index:
- Index Mappings (
elasticsearch://<host>/<index>/schema)- JSON mapping information
- Field names, types and configurations
- Automatically discovered from metadata
Usage with Claude Desktop
Add to the “mcpServers” section of your claude_desktop_config.json:
{
"mcpServers": {
"elasticsearch": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-elasticsearch",
"http://localhost:9200"
]
}
}
}
Docker one liner to run container :
docker run -d --name elasticsearch -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" -e "xpack.security.enabled=false" docker.elastic.co/elasticsearch/elasticsearch:8.11.3
Replace the URL with your Elasticsearch endpoint.
License
Licensed under MIT License. Free to use, modify, and distribute. See LICENSE file for details.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










