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  3. Elasticsearch MCP Server
Elasticsearch MCP Server logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 3:01:53 PM

Elasticsearch MCP Server

User RatingsBe the first to rate and review this MCP server!
View Repository306 GitHub StarsTotal stargazers on GitHub for the source repository (306 stars).Visit Website
elasticsearchopensearchdatabasesearchmcp-server

MCP server enabling Elasticsearch/OpenSearch cluster, index, document, alias, and analyzer management via API.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

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The install command below didn't complete successfully in our automated test.

uvx Using

Ɨ No solution found when resolving tool dependencies: ╰─▶ Because using was not found in the package registry and you require using, we can conclude that your requirements are unsatisfiable.

This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 1mo ago.

Manual Client & Custom JSON ConfigExpand JSON ā–¾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "cr7258-elasticsearch-mcp-server": {
      "command": "uvx",
      "args": [
        "Using"
      ]
    }
  }
}

šŸ’” Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesšŸ—„ļø More in Databases

Overview

This MCP server provides tools to interact with Elasticsearch and OpenSearch clusters, supporting operations such as searching documents, managing indices and data streams, and retrieving cluster health and stats. It is suitable for applications needing programmatic access to Elasticsearch/OpenSearch APIs within an MCP client environment. The server supports multiple cluster configurations and authentication methods including API key and basic auth.

Use cases

•Search documents in Elasticsearch/OpenSearch indices
•Create, update, or delete indices and data streams
•Manage document lifecycle including indexing and deletion
•Retrieve cluster health and statistics for monitoring
•Analyze text using custom analyzers for query debugging

Key features

•General HTTP API request tool for any Elasticsearch/OpenSearch endpoint
•Index operations: list, create, delete indices and data streams
•Document operations: search, get, index, delete documents, delete by query
•Cluster operations: get cluster health and statistics
•Alias operations: list, get, create, update, delete aliases
•Text analysis tool for tokenization and analyzer debugging

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Elasticsearch MCP Server.

Extracted Tool Capabilities
General HTTP API request tool for any Elasticsearch/OpenSearch endpoint
Index operations: list, create, delete indices and data streams
Document operations: search, get, index, delete documents, delete by query
Cluster operations: get cluster health and statistics
Alias operations: list, get, create, update, delete aliases
Text analysis tool for tokenization and analyzer debugging

Documentation Overview

Elasticsearch/OpenSearch MCP Server

MseeP.ai Security Assessment Badge

Trust Score

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.

Elasticsearch MCP Server

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 authentication
  • ELASTICSEARCH_PASSWORD: Password for basic authentication
  • OPENSEARCH_USERNAME: Username for OpenSearch basic authentication
  • OPENSEARCH_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 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)

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:

config.json
{
  "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:

config.json
{
  "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:

config.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:

config.json
{
  "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 include Authorization: Bearer <MCP_API_KEY> header.

Important Security Notes:

  • Authentication is only applicable for HTTP transports (sse, streamable-http). The stdio transport uses local process communication and doesn't require authentication.
  • If 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.
  • For production deployments with HTTP transports, always set MCP_API_KEY.
server.ts
# 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 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_index
    • delete_index
  • Document Operations:

    • index_document
    • delete_document
    • delete_by_query
  • Data Stream Operations:

    • create_data_stream
    • delete_data_stream
  • Alias Operations:

    • put_alias
    • delete_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.

server.ts
# Disable High-Risk Operations
export DISABLE_HIGH_RISK_OPERATIONS=true
# Disable specific operations only
export DISABLE_OPERATIONS="delete_index,delete_document,delete_by_query"

GCF Response Encoding (optional)

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.

server.ts
export RESPONSE_FORMAT=gcf

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 Elasticsearch/OpenSearch Cluster

Start the Elasticsearch/OpenSearch cluster using Docker Compose:

bash
# 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

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
306
Stargazers on the source repository.
Last commit
26d ago
Most recent push to the default branch.
Install check
Inconclusive
Install command did not finish in our automated test.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Elasticsearch MCP Server

Supports Elasticsearch API key authentication and basic authentication with username/password for both Elasticsearch and OpenSearch.

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Technical Specs & Signals

CategoryšŸ—„ļøDatabases
PricingFree
More technical detailsExpand ā–¾
TransportSTDIO
RuntimePython
AuthAPI key
Last updatedAug 16, 2026
11/11 checks healthy over the last 34d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars306
GitHub Star CountTotal stargazers on GitHub representing community popularity (306 stars).
Last commit26d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 16, 2026
47Quality signal: Fair Ā· 47/100How this signal is calculated ā–¾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity9/15
Community engagement0/10

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