elasticsearch-mcp

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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.

• elasticsearch_health: Get Elasticsearch cluster health status, optionally including index-level details

• list_indices: List available Elasticsearch indices, support regex
• create_index: Create Elasticsearch index with optional settings and mappings
• reindex: Reindex data from a source index to a target index with optional query and script

• get_mappings: Get field mappings for a specific Elasticsearch index
• create_mapping: Create or update mapping structure for an Elasticsearch index

• search: Perform an Elasticsearch search with the provided query DSL
• bulk: Bulk data into an Elasticsearch index

• create_index_template: Create or update an index template
• get_index_template: Get information about index templates
• delete_index_template: Delete an index template

1. The MCP Client analyzes your request and determines which Elasticsearch operations are needed.
2. The MCP server carries out these operations (listing indices, fetching mappings, performing searches).
3. The MCP Client processes the results and presents them in a user-friendly format.

• An Elasticsearch instance
• Elasticsearch authentication credentials (API key or username/password)
• MCP Client (e.g. Claude Desktop, Cursor)

1. 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:

   {
     "mcpServers": {
       "elasticsearch-mcp": {
         "command": "npx",
         "args": [
           "-y",
           "@awesome-ai/elasticsearch-mcp"
         ],
         "env": {
           "ES_HOST": "your-elasticsearch-host",
           "ES_API_KEY": "your-api-key"
         }
       }
     }
   }

2. 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.

The Elasticsearch MCP Server supports configuration options to connect to your Elasticsearch:

1. Use the correct Node.js version

   nvm use

2. Install Dependencies

   npm install

3. Build the Project

   npm run build

4. 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:

   {
     "mcpServers": {
       "elasticsearch-mcp": {
         "command": "node",
         "args": [
           "/path/to/your/project/dist/index.js"
         ],
         "env": {
           "ES_HOST": "your-elasticsearch-host",
           "ES_API_KEY": "your-api-key"
         }
       }
     }
   }

5. 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:

   {
     "mcpServers": {
       "elasticsearch-mcp": {
         "command": "node",
         "args": [
           "/path/to/your/project/dist/index.js"
         ],
         "env": {
           "ES_HOST": "your-elasticsearch-host",
           "ES_API_KEY": "your-api-key"
         }
       }
     }
   }

6. Debugging with MCP Inspector

   ES_HOST=your-elasticsearch-url ES_API_KEY=your-api-key npm run inspector

   This will start the MCP Inspector, allowing you to debug and analyze requests. You should see:

   Starting MCP inspector...
   ⚙️ Proxy server listening on port 6277
   🔍 MCP Inspector is up and running at http://127.0.0.1:6274 🚀

• "What is the health status of my Elasticsearch cluster?"
• "How many active nodes are in my cluster?"

• "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'."

• "Show me the field mappings for the 'products' index."
• "Add a keyword type field called 'tags' to the 'products' index."

• "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."

• "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.