Connect to Elasticsearch and OpenSearch
Search, manage, and monitor Elasticsearch or OpenSearch clusters conversationally, with write-operation lockdown controls.
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Why it matters
Integrate your AI applications with Elasticsearch and OpenSearch for powerful data analysis and management. This MCP server enables seamless interaction with your data stores.
Outcomes
What it gets done
Manage Elasticsearch/OpenSearch indices and data streams.
Perform document searches and indexing operations.
Monitor cluster health and statistics.
Execute general API requests for advanced control.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/vb-elasticsearch | bash Capabilities
Tools your agent gets
Execute a general HTTP API request for any Elasticsearch/OpenSearch API
List all indices in the cluster
Returns information about one or more indices including mappings and settings
Create a new index
Delete an index
Create a new data stream with a corresponding index template
Get information about one or more data streams
Delete one or more data streams and their underlying indices
Overview
Elasticsearch MCP Server
An MCP server for Elasticsearch/OpenSearch: index management, document search/CRUD, cluster health, alias management, text analysis, and multi-cluster support. Use it when an assistant needs to search, manage, or monitor Elasticsearch/OpenSearch clusters - lock down write operations for production or shared deployments.
What it does
This MCP server provides comprehensive Elasticsearch and OpenSearch interaction, covering index management, document search/CRUD, cluster health/stats, alias management, and text analysis - plus a general_api_request fallback for any API endpoint without a dedicated tool. It supports multiple named cluster configurations in a single server instance, so tools can target a specific cluster (e.g. prod vs staging) via an optional cluster parameter, and is compatible with Elasticsearch 7.x/8.x/9.x and OpenSearch 1.x/2.x/3.x via separate package variants (the base elasticsearch-mcp-server package defaults to the 8.x client). Authentication supports either username/password or, for Elasticsearch, an API key (recommended).
When to use - and when NOT to
Use this when you want an AI assistant to search documents, inspect index mappings/settings, manage aliases, check cluster health, or debug analyzer behavior directly against Elasticsearch or OpenSearch. For production or shared deployments, set DISABLE_HIGH_RISK_OPERATIONS=true to hide all write-capable tools (create_index, delete_index, index_document, delete_document, delete_by_query, create_data_stream, delete_data_stream, put_alias, delete_alias, general_api_request) from the client entirely, or selectively disable specific ones via DISABLE_OPERATIONS. When running over HTTP transports (SSE or Streamable HTTP), always set MCP_API_KEY - without it, the server is reachable over the network with no authentication at all; stdio transport doesn't need this since it's local-process-only. For a local test cluster, docker-compose -f docker-compose-elasticsearch.yml up -d (or the OpenSearch equivalent) starts one with default credentials (elastic/test123 for Elasticsearch, admin/admin for OpenSearch) and Kibana or OpenSearch Dashboards reachable at http://localhost:5601.
Capabilities
General: general_api_request. Index: list_indices, get_index, create_index, delete_index, create_data_stream, get_data_stream, delete_data_stream. Document: search_documents, index_document, get_document, delete_document, delete_by_query. Cluster: get_cluster_health, get_cluster_stats. Alias: list_aliases, get_alias, put_alias, delete_alias. Analyzer: analyze_text.
How to install
Via uvx for Claude Desktop (stdio):
{
"mcpServers": {
"elasticsearch-mcp-server": {
"command": "uvx",
"args": ["elasticsearch-mcp-server"],
"env": {
"ELASTICSEARCH_HOSTS": "https://localhost:9200",
"ELASTICSEARCH_API_KEY": "<YOUR_ELASTICSEARCH_API_KEY>"
}
}
}
}
Multiple clusters: set ELASTICSEARCH_CLUSTERS (inline JSON) or ELASTICSEARCH_CLUSTERS_FILE (path to a JSON file, recommended to avoid escaping) plus DEFAULT_CLUSTER. For version-specific Elasticsearch clients: uvx elasticsearch-mcp-server-es7 (7.x) or elasticsearch-mcp-server-es9 (9.x); OpenSearch uses opensearch-mcp-server. HTTP transports: uvx elasticsearch-mcp-server --transport sse or --transport streamable-http. A Docker image and Helm chart are published for Kubernetes deployment.
Who it's for
Platform and search teams running Elasticsearch or OpenSearch who want an AI assistant to search, manage, and monitor clusters - potentially across multiple environments - with explicit controls to lock down write operations in shared or production settings. Package naming maps directly to the target version: elasticsearch-mcp-server-es7 for 7.x, the base elasticsearch-mcp-server for 8.x, elasticsearch-mcp-server-es9 for 9.x, and opensearch-mcp-server covering OpenSearch 1.x through 3.x. Licensed Apache 2.0.
Source README
Elasticsearch/OpenSearch MCP Server
Overview
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.
Demo
https://github.com/user-attachments/assets/f7409e31-fac4-4321-9c94-b0ff2ea7ff15
Features
General Operations
general_api_request: Perform a general HTTP API request. Use this tool for any Elasticsearch/OpenSearch API that does not have a dedicated tool.
Index Operations
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.
Document Operations
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.
Cluster Operations
get_cluster_health: Returns basic information about the health of the cluster.get_cluster_stats: Returns high-level overview of cluster statistics.
Alias Operations
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.
Analyzer Operations
analyze_text: Analyze text using a specified analyzer or custom analysis chain. Useful for debugging search queries and understanding how text is tokenized.
Configure Environment Variables
The MCP server supports the following environment variables:
Basic Authentication (Username/Password)
ELASTICSEARCH_USERNAME: Username for basic authenticationELASTICSEARCH_PASSWORD: Password for basic authenticationOPENSEARCH_USERNAME: Username for OpenSearch basic authenticationOPENSEARCH_PASSWORD: Password for OpenSearch basic authentication
API Key Authentication (Elasticsearch only) - Recommended
ELASTICSEARCH_API_KEY: API key for Elasticsearch or Elastic Cloud Authentication.
Connection Settings
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 optionalclusterparameter.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 omitscluster(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)
Multiple Cluster Configuration
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:
{
"mcpServers": {
"elasticsearch-mcp-server": {
"command": "uvx",
"args": [
"elasticsearch-mcp-server"
],
"env": {
"ELASTICSEARCH_CLUSTERS": "{\"prod\": {\"hosts\": [\"https://prod-es:9200\"], \"api_key\": \"<PROD_API_KEY>\", \"verify_certs\": true}, \"staging\": {\"hosts\": [\"https://staging-es:9200\"], \"username\": \"elastic\", \"password\": \"<STAGING_PASSWORD>\"}}",
"DEFAULT_CLUSTER": "prod"
}
}
}
}
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:
{
"mcpServers": {
"elasticsearch-mcp-server": {
"command": "uvx",
"args": [
"elasticsearch-mcp-server"
],
"env": {
"ELASTICSEARCH_CLUSTERS_FILE": "/etc/mcp/es-clusters.json",
"DEFAULT_CLUSTER": "prod"
}
}
}
}
/etc/mcp/es-clusters.json:
{
"prod": {
"hosts": ["https://prod-es:9200"],
"api_key": "<PROD_API_KEY>",
"verify_certs": true
},
"staging": {
"hosts": ["https://staging-es:9200"],
"username": "elastic",
"password": "<STAGING_PASSWORD>"
}
}
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:
{
"cluster": "staging",
"index": "logs-*",
"body": {
"query": {
"match_all": {}
}
}
}
MCP Server Authentication (HTTP Transports Only)
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 includeAuthorization: Bearer <MCP_API_KEY>header.
Important Security Notes:
- Authentication is only applicable for HTTP transports (
sse,streamable-http). Thestdiotransport uses local process communication and doesn't require authentication. - If
MCP_API_KEYis not set, the MCP server will be accessible without authentication. This is a security risk when exposing the server over a network. - For production deployments with HTTP transports, always set
MCP_API_KEY.
# Generate a secure API key (example using openssl)
export MCP_API_KEY=$(openssl rand -base64 32)
# Or set a custom API key
export MCP_API_KEY="your-secure-api-key-here"
Disable High-Risk Operations
DISABLE_HIGH_RISK_OPERATIONS: Set totrueto 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_index
Document Operations:
index_documentdelete_documentdelete_by_query
Data Stream Operations:
create_data_streamdelete_data_stream
Alias Operations:
put_aliasdelete_alias
General API Operations:
general_api_request
Optionally, you can specify a comma-separated list of operations to disable in the DISABLE_OPERATIONS environment variable.
# Disable High-Risk Operations
export DISABLE_HIGH_RISK_OPERATIONS=true
# Disable specific operations only
export DISABLE_OPERATIONS="delete_index,delete_document,delete_by_query"
Start Elasticsearch/OpenSearch Cluster
Start the Elasticsearch/OpenSearch cluster using Docker Compose:
# For Elasticsearch
docker-compose -f docker-compose-elasticsearch.yml up -d
# For OpenSearch
docker-compose -f docker-compose-opensearch.yml up -d
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.
Stdio
Option 1: Using uvx
Using uvx will automatically install the package from PyPI, no need to clone the repository locally. Add the following configuration to 's config file claude_desktop_config.json.
// For Elasticsearch with username/password
{
"mcpServers": {
"elasticsearch-mcp-server": {
"command": "uvx",
"args": [
"elasticsearch-mcp-server"
],
"env": {
"ELASTICSEARCH_HOSTS": "https://localhost:9200",
"ELASTICSEARCH_USERNAME": "elastic",
"ELASTICSEARCH_PASSWORD": "test123"
}
}
}
}
// For Elasticsearch with API key
{
"mcpServers": {
"elasticsearch-mcp-server": {
"command": "uvx",
"args": [
"elasticsearch-mcp-server"
],
"env": {
"ELASTICSEARCH_HOSTS": "https://localhost:9200",
"ELASTICSEARCH_API_KEY": "<YOUR_ELASTICSEARCH_API_KEY>"
}
}
}
}
// For OpenSearch
{
"mcpServers": {
"opensearch-mcp-server": {
"command": "uvx",
"args": [
"opensearch-mcp-server"
],
"env": {
"OPENSEARCH_HOSTS": "https://localhost:9200",
"OPENSEARCH_USERNAME": "admin",
"OPENSEARCH_PASSWORD": "admin"
}
}
}
}
Option 2: Using uv with local development
Using uv requires cloning the repository locally and specifying the path to the source code. Add the following configuration to Claude Desktop's config file claude_desktop_config.json.
// For Elasticsearch with username/password
{
"mcpServers": {
"elasticsearch-mcp-server": {
"command": "uv",
"args": [
"--directory",
"path/to/elasticsearch-mcp-server",
"run",
"elasticsearch-mcp-server"
],
"env": {
"ELASTICSEARCH_HOSTS": "https://localhost:9200",
"ELASTICSEARCH_USERNAME": "elastic",
"ELASTICSEARCH_PASSWORD": "test123"
}
}
}
}
// For Elasticsearch with API key
{
"mcpServers": {
"elasticsearch-mcp-server": {
"command": "uv",
"args": [
"--directory",
"path/to/elasticsearch-mcp-server",
"run",
"elasticsearch-mcp-server"
],
"env": {
"ELASTICSEARCH_HOSTS": "https://localhost:9200",
"ELASTICSEARCH_API_KEY": "<YOUR_ELASTICSEARCH_API_KEY>"
}
}
}
}
// For OpenSearch
{
"mcpServers": {
"opensearch-mcp-server": {
"command": "uv",
"args": [
"--directory",
"path/to/elasticsearch-mcp-server",
"run",
"opensearch-mcp-server"
],
"env": {
"OPENSEARCH_HOSTS": "https://localhost:9200",
"OPENSEARCH_USERNAME": "admin",
"OPENSEARCH_PASSWORD": "admin"
}
}
}
}
SSE
Option 1: Using uvx
# export environment variables (with username/password)
export ELASTICSEARCH_HOSTS="https://localhost:9200"
export ELASTICSEARCH_USERNAME="elastic"
export ELASTICSEARCH_PASSWORD="test123"
# OR export environment variables (with API key)
export ELASTICSEARCH_HOSTS="https://localhost:9200"
export ELASTICSEARCH_API_KEY="<YOUR_ELASTICSEARCH_API_KEY>"
# By default, the SSE MCP server will serve on http://127.0.0.1:8000/sse
uvx elasticsearch-mcp-server --transport sse
# The host, port, and path can be specified using the --host, --port, and --path options
uvx elasticsearch-mcp-server --transport sse --host 0.0.0.0 --port 8000 --path /sse
Option 2: Using uv
# By default, the SSE MCP server will serve on http://127.0.0.1:8000/sse
uv run src/server.py elasticsearch-mcp-server --transport sse
# The host, port, and path can be specified using the --host, --port, and --path options
uv run src/server.py elasticsearch-mcp-server --transport sse --host 0.0.0.0 --port 8000 --path /sse
Streamable HTTP
Option 1: Using uvx
# export environment variables (with username/password)
export ELASTICSEARCH_HOSTS="https://localhost:9200"
export ELASTICSEARCH_USERNAME="elastic"
export ELASTICSEARCH_PASSWORD="test123"
# OR export environment variables (with API key)
export ELASTICSEARCH_HOSTS="https://localhost:9200"
export ELASTICSEARCH_API_KEY="<YOUR_ELASTICSEARCH_API_KEY>"
# By default, the Streamable HTTP MCP server will serve on http://127.0.0.1:8000/mcp
uvx elasticsearch-mcp-server --transport streamable-http
# The host, port, and path can be specified using the --host, --port, and --path options
uvx elasticsearch-mcp-server --transport streamable-http --host 0.0.0.0 --port 8000 --path /mcp
Option 2: Using uv
# By default, the Streamable HTTP MCP server will serve on http://127.0.0.1:8000/mcp
uv run src/server.py elasticsearch-mcp-server --transport streamable-http
# The host, port, and path can be specified using the --host, --port, and --path options
uv run src/server.py elasticsearch-mcp-server --transport streamable-http --host 0.0.0.0 --port 8000 --path /mcp
Compatibility
The MCP server is compatible with Elasticsearch 7.x, 8.x, and 9.x. By default, it uses the Elasticsearch 8.x client (without a suffix).
| MCP Server | Elasticsearch |
|---|---|
| elasticsearch-mcp-server-es7 | Elasticsearch 7.x |
| elasticsearch-mcp-server | Elasticsearch 8.x |
| elasticsearch-mcp-server-es9 | Elasticsearch 9.x |
| opensearch-mcp-server | OpenSearch 1.x, 2.x, 3.x |
To use the Elasticsearch 7.x client, run the elasticsearch-mcp-server-es7 variant. For Elasticsearch 9.x, use elasticsearch-mcp-server-es9. For example:
uvx elasticsearch-mcp-server-es7
If you want to run different Elasticsearch variants (e.g., 7.x or 9.x) locally, simply update the elasticsearch dependency version in pyproject.toml, then start the server with:
uv run src/server.py elasticsearch-mcp-server
Kubernetes Deployment
The Docker image is published to ghcr.io/cr7258/elasticsearch-mcp-server and the Helm chart is available as an OCI artifact at oci://ghcr.io/cr7258/charts/elasticsearch-mcp-server repository.
For full installation instructions, configuration reference, and usage examples see the Helm chart README.
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