MCP server enabling Elasticsearch/OpenSearch cluster, index, document, alias, and analyzer management via API.
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š” Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Elasticsearch MCP Server.
A Model Context Protocol (MCP) server implementation that provides Elasticsearch and OpenSearch interaction. This server enables searching documents, analyzing indices, and managing cluster through a set of tools.
https://github.com/user-attachments/assets/f7409e31-fac4-4321-9c94-b0ff2ea7ff15
general_api_request: Perform a general HTTP API request. Use this tool for any Elasticsearch/OpenSearch API that does not have a dedicated tool.list_indices: List all indices.get_index: Returns information (mappings, settings, aliases) about one or more indices.create_index: Create a new index.delete_index: Delete an index.create_data_stream: Create a new data stream (requires matching index template).get_data_stream: Get information about one or more data streams.delete_data_stream: Delete one or more data streams and their backing indices.search_documents: Search for documents.index_document: Creates or updates a document in the index.get_document: Get a document by ID.delete_document: Delete a document by ID.delete_by_query: Deletes documents matching the provided query.get_cluster_health: Returns basic information about the health of the cluster.get_cluster_stats: Returns high-level overview of cluster statistics.list_aliases: List all aliases.get_alias: Get alias information for a specific index.put_alias: Create or update an alias for a specific index.delete_alias: Delete an alias for a specific index.analyze_text: Analyze text using a specified analyzer or custom analysis chain. Useful for debugging search queries and understanding how text is tokenized.The MCP server supports the following environment variables:
ELASTICSEARCH_USERNAME: Username for basic authenticationELASTICSEARCH_PASSWORD: Password for basic authenticationOPENSEARCH_USERNAME: Username for OpenSearch basic authenticationOPENSEARCH_PASSWORD: Password for OpenSearch basic authenticationELASTICSEARCH_API_KEY: API key for Elasticsearch or Elastic Cloud Authentication.ELASTICSEARCH_HOSTS / OPENSEARCH_HOSTS: Comma-separated list of hosts (default: https://localhost:9200)ELASTICSEARCH_CLUSTERS / OPENSEARCH_CLUSTERS: Inline JSON object for named cluster configurations. When set, tools can target a specific cluster with the optional cluster parameter.ELASTICSEARCH_CLUSTERS_FILE / OPENSEARCH_CLUSTERS_FILE: Path to a JSON file with the clusters object. Recommended when the configuration is embedded inside another JSON file (e.g. the MCP client config) because it avoids JSON-in-JSON escaping. Takes precedence over the inline variable when both are set.DEFAULT_CLUSTER: Default cluster name to use when multi-cluster configuration is set and a tool call omits cluster (defaults to the first configured cluster).VERIFY_CERTS: Whether to verify SSL certificates (default: false)REQUEST_TIMEOUT: Request timeout in seconds (optional, uses client default if not set)By default, the server uses a single Elasticsearch cluster from ELASTICSEARCH_HOSTS, ELASTICSEARCH_USERNAME, ELASTICSEARCH_PASSWORD, and ELASTICSEARCH_API_KEY, or a single OpenSearch cluster from OPENSEARCH_HOSTS, OPENSEARCH_USERNAME, and OPENSEARCH_PASSWORD. To configure multiple named clusters, set ELASTICSEARCH_CLUSTERS (or OPENSEARCH_CLUSTERS) to a JSON object inside the MCP server configuration. Because the value is a JSON string embedded in another JSON file, the inner quotes need to be escaped:
For better readability, point ELASTICSEARCH_CLUSTERS_FILE (or OPENSEARCH_CLUSTERS_FILE) at a standalone JSON file instead. The value is just a path so it avoids the JSON-in-JSON escaping:
/etc/mcp/es-clusters.json:
Every tool accepts an optional cluster parameter. If omitted, the server uses DEFAULT_CLUSTER. When DEFAULT_CLUSTER is not set, the first cluster in the JSON object is used as the default. A tool call targeting a specific cluster looks like:
When running the MCP server with HTTP-based transports (SSE or Streamable HTTP), you can enable Bearer token authentication to protect the server from unauthorized access.
MCP_API_KEY: API key for MCP server authentication. Clients must include Authorization: Bearer <MCP_API_KEY> header.Important Security Notes:
sse, streamable-http). The stdio transport uses local process communication and doesn't require authentication.MCP_API_KEY is not set, the MCP server will be accessible without authentication. This is a security risk when exposing the server over a network.MCP_API_KEY.DISABLE_HIGH_RISK_OPERATIONS: Set to true to disable all write operations (default: false)DISABLE_OPERATIONS: Comma-separated list of specific operations to disable (optional, uses default write operations list if not set)When DISABLE_HIGH_RISK_OPERATIONS is set to true, all MCP tools that perform write operations are completely hidden from the MCP client. In this mode, the following MCP tools are disabled by default.
Index Operations:
create_indexdelete_indexDocument Operations:
index_documentdelete_documentdelete_by_queryData Stream Operations:
create_data_streamdelete_data_streamAlias Operations:
put_aliasdelete_aliasGeneral API Operations:
general_api_requestOptionally, you can specify a comma-separated list of operations to disable in the DISABLE_OPERATIONS environment variable.
Opt in to serialize tool-result payloads as GCF (Graph Compact Format), a token-optimized wire format, in the content block the model reads. Elasticsearch returns large, uniform record sets (search hits, aggregation buckets, mappings), the shape GCF compacts best: on representative responses it is ~39% fewer tokens than compact JSON (40% on search hits), losslessly.
structuredContent is preserved unchanged, so a tool's declared output schema still validates and any non-model client keeps receiving JSON; only the model-facing text block is re-encoded. Encoding is fail-safe: any error, including a value outside GCF's canonical int64 numeric domain (which GCF rejects rather than silently approximating), leaves the original JSON result untouched, so a tool call is never dropped over encoding. Default behavior is unchanged when RESPONSE_FORMAT is unset.
Reproduce the token comparison: uv run --with tiktoken python benchmarks/gcf_benchmark.py.
Start the Elasticsearch/OpenSearch cluster using Docker Compose:
The default Elasticsearch username is elastic and password is test123. The default OpenSearch username is admin and password is admin.
You can access Kibana/OpenSearch Dashboards from http://localhost:5601.
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