remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Integrations
Connects to Elasticsearch clusters allowing interaction with indices through natural language, including listing indices, retrieving mappings, performing searches, managing index templates, bulk operations, reindexing data, and monitoring cluster health.
Elasticsearch MCP Server
MCP Server for connecting to your Elasticsearch cluster directly from any MCP Client (like Claude Desktop, Cursor).
This server connects agents to your Elasticsearch data using the Model Context Protocol. It allows you to interact with your Elasticsearch indices through natural language conversations.
Demo
Feature Overview
Available Features
Cluster Management
elasticsearch_health
: Get Elasticsearch cluster health status, optionally including index-level details
Index Operations
list_indices
: List available Elasticsearch indices, support regexcreate_index
: Create Elasticsearch index with optional settings and mappingsreindex
: Reindex data from a source index to a target index with optional query and script
Mapping Management
get_mappings
: Get field mappings for a specific Elasticsearch indexcreate_mapping
: Create or update mapping structure for an Elasticsearch index
Search & Data Operations
search
: Perform an Elasticsearch search with the provided query DSLbulk
: Bulk data into an Elasticsearch index
Template Management
create_index_template
: Create or update an index templateget_index_template
: Get information about index templatesdelete_index_template
: Delete an index template
How It Works
- The MCP Client analyzes your request and determines which Elasticsearch operations are needed.
- The MCP server carries out these operations (listing indices, fetching mappings, performing searches).
- The MCP Client processes the results and presents them in a user-friendly format.
Getting Started
Prerequisites
- An Elasticsearch instance
- Elasticsearch authentication credentials (API key or username/password)
- MCP Client (e.g. Claude Desktop, Cursor)
Installation & Setup
Using the Published NPM Package
Tip
The easiest way to use Elasticsearch MCP Server is through the published npm package.
- Configure MCP Client
- Open your MCP Client. See the list of MCP Clients, here we are configuring Claude Desktop.
- Go to Settings > Developer > MCP Servers
- Click
Edit Config
and add a new MCP Server with the following configuration:
Copy - Start a Conversation
- Open a new conversation in your MCP Client.
- The MCP server should connect automatically.
- You can now ask questions about your Elasticsearch data.
Configuration Options
The Elasticsearch MCP Server supports configuration options to connect to your Elasticsearch:
Note
You must provide either an API key or both username and password for authentication.
Environment Variable | Description | Required |
---|---|---|
ES_HOST | Your Elasticsearch instance URL (also supports legacy HOST ) | Yes |
ES_API_KEY | Elasticsearch API key for authentication (also supports legacy API_KEY ) | No |
ES_USERNAME | Elasticsearch username for basic authentication (also supports legacy USERNAME ) | No |
ES_PASSWORD | Elasticsearch password for basic authentication (also supports legacy PASSWORD ) | No |
ES_CA_CERT | Path to custom CA certificate for Elasticsearch SSL/TLS (also supports legacy CA_CERT ) | No |
Local Development
Note
If you want to modify or extend the MCP Server, follow these local development steps.
- Use the correct Node.js versionCopy
- Install DependenciesCopy
- Build the ProjectCopy
- Run locally in Claude Desktop App
- Open Claude Desktop App
- Go to Settings > Developer > MCP Servers
- Click
Edit Config
and add a new MCP Server with the following configuration:
Copy - Run locally in Cursor Editor
- Open Cursor Editor
- Go to Cursor Settings > MCP
- Click
Add new global MCP Server
and add a new MCP Server with the following configuration:
Copy - Debugging with MCP InspectorThis will start the MCP Inspector, allowing you to debug and analyze requests. You should see:CopyCopy
Example Queries
Tip
Here are some natural language queries you can try with your MCP Client.
Cluster Management
- "What is the health status of my Elasticsearch cluster?"
- "How many active nodes are in my cluster?"
Index Operations
- "What indices do I have in my Elasticsearch cluster?"
- "Create a new index called 'users' with 3 shards and 1 replica."
- "Reindex data from 'old_index' to 'new_index'."
Mapping Management
- "Show me the field mappings for the 'products' index."
- "Add a keyword type field called 'tags' to the 'products' index."
Search & Data Operations
- "Find all orders over $500 from last month."
- "Which products received the most 5-star reviews?"
- "Bulk import these customer records into the 'customers' index."
Template Management
- "Create an index template for logs with pattern 'logs-*'."
- "Show me all my index templates."
- "Delete the 'outdated_template' index template."
If you encounter issues, feel free to open an issue on the GitHub repository.
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Tools
Connects agents to Elasticsearch data using the Model Context Protocol, allowing natural language interaction with Elasticsearch indices through MCP Clients like Claude Desktop and Cursor.