MCP Official Registry 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. - generalapirequest: Perform a general HTTP API request. Use this tool for any Elasticsearch/OpenSearch API that does not have a dedicated tool. - listindices: List
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npx mdskills install cr7258/elasticsearch-mcp-serverComprehensive MCP server providing robust Elasticsearch/OpenSearch integration with extensive operations
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)VERIFY_CERTS: Whether to verify SSL certificates (default: false)REQUEST_TIMEOUT: Request timeout in seconds (optional, uses client default if not set)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 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.# 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: 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.
# 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 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.
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": ""
}
}
}
}
// For OpenSearch
{
"mcpServers": {
"opensearch-mcp-server": {
"command": "uvx",
"args": [
"opensearch-mcp-server"
],
"env": {
"OPENSEARCH_HOSTS": "https://localhost:9200",
"OPENSEARCH_USERNAME": "admin",
"OPENSEARCH_PASSWORD": "admin"
}
}
}
}
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": ""
}
}
}
}
// 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"
}
}
}
}
# 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=""
# 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
# 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
# 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=""
# 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
# 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
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
This project is licensed under the Apache License Version 2.0 - see the LICENSE file for details.
Install via CLI
npx mdskills install cr7258/elasticsearch-mcp-serverElasticsearch/OpenSearch MCP Server is a free, open-source AI agent skill. MCP Official Registry 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. - generalapirequest: Perform a general HTTP API request. Use this tool for any Elasticsearch/OpenSearch API that does not have a dedicated tool. - listindices: List
Install Elasticsearch/OpenSearch MCP Server with a single command:
npx mdskills install cr7258/elasticsearch-mcp-serverThis downloads the skill files into your project and your AI agent picks them up automatically.
Elasticsearch/OpenSearch MCP Server works with Claude Code, Claude Desktop, Cursor, Vscode Copilot, Windsurf, Continue Dev, Gemini Cli, Amp, Roo Code, Goose. Skills use the open SKILL.md format which is compatible with any AI coding agent that reads markdown instructions.