cr7258/elasticsearch-mcp-server

Score: 42.3 Rank #1280

A Model Context Protocol (MCP) server implementation that provides Elasticsearch and OpenSearch interaction.

Overview

cr7258/elasticsearch-mcp-server is a Python MCP server licensed under Apache-2.0. A Model Context Protocol (MCP) server implementation that provides Elasticsearch and OpenSearch interaction.

Ranked #1280 out of 25632 indexed tools.

In the top 5% of all indexed tools.

Ecosystem

Python Apache-2.0

Signal Breakdown

Stars 256

Freshness 1mo ago

Issue Health 56%

Contributors 9

Dependents 0

Forks 53

Description Good

License Apache-2.0

How to Improve

Description low impact

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Freshness high impact

Last commit was 42 days ago — a recent commit would boost your freshness score

Dependents medium impact

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Details

Stars: 256
Forks: 53
Open Issues: 8
Closed Issues: 10
Contributors: 9
Dependents: —
Language: Python
License: Apache-2.0
Last Commit: 1mo ago

Matched Queries

"mcp server""mcp-server""model context protocol""model-context-protocol"

From the README

# Elasticsearch/OpenSearch MCP Server

[MCP Official Registry]( https://registry.modelcontextprotocol.io/v0/servers?search=io.github.cr7258/elasticsearch-mcp-server)

## 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.

<a href="https://glama.ai/mcp/servers/b3po3delex"></a>

## 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

Read full README on GitHub →

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