MCP Elasticsearch Server

@sonirico

代码仓库

基本信息

分类

数据库

传输方式

stdio

作者

sonirico

关于 MCP Elasticsearch Server

MCP server connecting AI systems to Elasticsearch clusters

#go #golang #elasticsearch#elastic#mcp-server #modelcontextprotocol#elasticsearch-mcp-server

MCP Elasticsearch Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

MCP Elasticsearch Server 工具

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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Elasticsearch Server 🔍?

MCP Elasticsearch Server 🔍 is an MCP server that provides Elasticsearch integration capabilities to AI assistants and other MCP clients. It enables querying Elasticsearch clusters through a standardized interface.

How to use MCP Elasticsearch Server 🔍?

Install by cloning the repository, building with Go, and installing the binary. Configure with the ES_URL environment variable and either an ES_API_KEY or ES_USERNAME/ES_PASSWORD. Run directly or integrate with clients like Claude Desktop or ApMentor by adding a mcpServers entry.

Key features of MCP Elasticsearch Server 🔍

Multiple authentication methods (API key or username/password)
List indices with health status and document counts
Retrieve field mappings to understand index structure
Execute complex Elasticsearch queries with aggregations and sorting
JSON-formatted output with search metadata
Query execution time tracking

Use cases of MCP Elasticsearch Server 🔍

List all or filtered Elasticsearch indices
Get field mappings for one or more indices
Execute simple or complex search queries across indices
Search with aggregations and sorting for analytics
Filter log indices by pattern for targeted searching

常见问题

What authentication methods does MCP Elasticsearch Server 🔍 support?

It supports both API key authentication and basic authentication (username/password). You must provide either an API key or both username and password.

What are the runtime requirements?

The server is a Go binary that requires a running Elasticsearch cluster accessible via the provided URL.

Where does my data live?

All data resides in your Elasticsearch cluster. The server only queries and returns results; it does not store any data.

Are there any limitations on search results?

The default maximum number of documents returned is 10, with a configurable maximum of 10,000. You can also specify sorting and track total hits.

How does the server handle errors?

Detailed error messages are provided for authentication failures, index not found, query syntax errors, and connection issues.

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