Skip to main content
Glama
cr7258

Elasticsearch MCP Server

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
OPENSEARCH_HOSTSNoThe OpenSearch server hosts URL
ELASTICSEARCH_HOSTSNoThe Elasticsearch server hosts URL
OPENSEARCH_PASSWORDNoThe OpenSearch password
OPENSEARCH_USERNAMENoThe OpenSearch username
ELASTICSEARCH_PASSWORDNoThe Elasticsearch password
ELASTICSEARCH_USERNAMENoThe Elasticsearch username

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": true
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
list_indicesA

List all indices.

Args: cluster: Optional cluster name. Uses the default cluster if omitted.

get_indexA

Returns information (mappings, settings, aliases) about one or more indices.

Args: index: Name of the index cluster: Optional cluster name. Uses the default cluster if omitted.

create_indexA

Create a new index.

Args: index: Name of the index body: Optional index configuration including mappings and settings cluster: Optional cluster name. Uses the default cluster if omitted.

delete_indexA

Delete an index.

Args: index: Name of the index cluster: Optional cluster name. Uses the default cluster if omitted.

search_documentsC

Search for documents.

Args: index: Name of the index body: Search query cluster: Optional cluster name. Uses the default cluster if omitted.

index_documentA

Creates or updates a document in the index.

Args: index: Name of the index document: Document data id: Optional document ID cluster: Optional cluster name. Uses the default cluster if omitted.

get_documentA

Get a document by ID.

Args: index: Name of the index id: Document ID cluster: Optional cluster name. Uses the default cluster if omitted.

delete_documentA

Delete a document by ID.

Args: index: Name of the index id: Document ID cluster: Optional cluster name. Uses the default cluster if omitted.

delete_by_queryB

Deletes documents matching the provided query.

Args: index: Name of the index body: Query to match documents for deletion cluster: Optional cluster name. Uses the default cluster if omitted.

get_cluster_healthB

Returns basic information about the health of the cluster.

Args: cluster: Optional cluster name. Uses the default cluster if omitted.

get_cluster_statsB

Returns high-level overview of cluster statistics.

Args: cluster: Optional cluster name. Uses the default cluster if omitted.

list_aliasesA

List all aliases.

Args: cluster: Optional cluster name. Uses the default cluster if omitted.

get_aliasA

Get alias information for a specific index.

Args: index: Name of the index cluster: Optional cluster name. Uses the default cluster if omitted.

put_aliasB

Create or update an alias for a specific index.

Args: index: Name of the index name: Name of the alias body: Alias configuration cluster: Optional cluster name. Uses the default cluster if omitted.

delete_aliasA

Delete an alias for a specific index.

Args: index: Name of the index name: Name of the alias cluster: Optional cluster name. Uses the default cluster if omitted.

create_data_streamA

Create a new data stream.

This creates a new data stream with the specified name. The data stream must have a matching index template before creation.

Args: name: Name of the data stream to create cluster: Optional cluster name. Uses the default cluster if omitted.

get_data_streamA

Get information about one or more data streams.

Retrieves configuration, mappings, settings, and other information about the specified data streams.

Args: name: Name of the data stream(s) to retrieve. Can be a comma-separated list or wildcard pattern. If not provided, retrieves all data streams. cluster: Optional cluster name. Uses the default cluster if omitted.

delete_data_streamA

Delete one or more data streams.

Permanently deletes the specified data streams and all their backing indices.

Args: name: Name of the data stream(s) to delete. Can be a comma-separated list or wildcard pattern. cluster: Optional cluster name. Uses the default cluster if omitted.

general_api_requestA

Perform a general HTTP API request. Use this tool for any Elasticsearch/OpenSearch API that does not have a dedicated tool.

Args: method: HTTP method (GET, POST, PUT, DELETE, etc.) path: API endpoint path params: Query parameters body: Request body cluster: Optional cluster name. Uses the default cluster if omitted.

analyze_textA

Analyze text to see how it would be tokenized.

Use this tool to understand how Elasticsearch/OpenSearch tokenizes and transforms text using analyzers. This is essential for debugging search queries and understanding why certain documents match or don't match.

Args: text: The text to analyze index: Index name to use its configured analyzer. If not specified, uses cluster-level analysis with built-in analyzers only. analyzer: Name of the analyzer to use (e.g., 'standard', 'korean', 'korean_search'). If index is specified, you can use custom analyzers defined in that index. tokenizer: Tokenizer to use for custom analysis chain. Cannot be used together with 'analyzer'. filter: List of token filters to apply (e.g., ['lowercase', 'stop']). Used with 'tokenizer' for custom analysis chain. char_filter: List of character filters to apply before tokenization. Used with 'tokenizer' for custom analysis chain. explain: If True, returns detailed information about each token including all token attributes and filter transformations. Useful for debugging complex analyzer chains. attributes: List of token attributes to return when explain=True (e.g., ['keyword', 'type']). If not specified, all attributes are returned. cluster: Optional cluster name. Uses the default cluster if omitted.

Returns: Dict containing 'tokens' array. Each token has 'token', 'start_offset', 'end_offset', 'type', and 'position' fields. With explain=True, returns detailed 'detail' object showing each filter's effect.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/cr7258/elasticsearch-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server