Elasticsearch MCP Server

Name: Elasticsearch MCP Server
Author: sajitsasi

@sajitsasi

代码仓库

关于 Elasticsearch MCP Server

Elasticsearch MCP Server in Python

基本信息

分类

数据库

许可证

MIT

运行时

python

传输方式

stdio

发布者

sajitsasi

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "es_mcp_server": {
      "command": "python",
      "args": [
        "configure_mcp_server.py",
        "your_cloud_id",
        "your_api_key"
      ]
    }
  }
}

工具

Lists all indices in the Elasticsearch cluster

Gets the mappings for a specific index

Performs an Elasticsearch search with a provided query DSL

Performs a search with a simple query string

Gets statistics for a specific index

概览

What is Elasticsearch MCP Server?

Elasticsearch MCP Server is an MCP (Model Context Protocol) server that provides tools and resources to interact with Elasticsearch clusters. It is designed for developers and AI agents using MCP-compatible clients like Claude.

How to use Elasticsearch MCP Server?

Install dependencies, set environment variables ES_CLOUD_ID and ES_API_KEY, then run python es_mcp_server.py. Optionally use configure_mcp_server.py to add the server to Claude's MCP settings.

Key features of Elasticsearch MCP Server?

List all indices in the cluster
Get mappings for a specific index
Perform Elasticsearch searches with query DSL
Search with a simple query string
Access cluster and index statistics

Use cases of Elasticsearch MCP Server?

Query Elasticsearch indices from an AI assistant like Claude
Explore index mappings and settings automatically
Run ad‑hoc searches without direct Elasticsearch access

FAQ from Elasticsearch MCP Server

What are the dependencies for Elasticsearch MCP Server?

Python 3.7+, the Elasticsearch Python client, and the MCP SDK are required. Elasticsearch cluster credentials (Cloud ID and API Key) must be provided.

How do I configure Elasticsearch MCP Server for Claude?

Run configure_mcp_server.py your_cloud_id your_api_key to add the server to Claude’s MCP settings file. After that, restart VS Code to apply the changes.

What tools and resources does Elasticsearch MCP Server offer?

Tools: list_indices, get_mappings, search, search_with_query_string, get_index_stats. Resources: elasticsearch://indices, elasticsearch://index/{index_name}, elasticsearch://mapping/{index_name}.

How can I test Elasticsearch MCP Server?

Use the provided test_es_mcp.sh script or start the server manually and test resources via Claude’s access_mcp_resource tool. A Python test script test_es_resources.py is also included.