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Elasticsearch MCP

Model Context Protocol Integration

Overview

Integrates with Elasticsearch to enable advanced search capabilities, data retrieval, and analysis for AI-assisted applications.

Elasticsearch

Integrates with Elasticsearch to enable advanced search capabilities, data retrieval, and analysis for AI-assisted applications.

Installation Instructions

README: https://github.com/meghanmurphy1/mcp

mcp

Python implementation of an Elasticsearch MCP server

Quick Start

Make sure you have Claude desktop installed and an instance of Elasticsearch running, and configure the .env appropriately.

Run:

make add-claude-config
make run

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Sequential Thinking MCP - Model Context Protocol for Cursor IDE

Sequential Thinking

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process. Break down complex problems into manageable steps, revise and refine thoughts as understanding deepens, and branch into alternative paths of reasoning.

Puppeteer MCP - Model Context Protocol for Cursor IDE

Puppeteer

A Model Context Protocol server that provides browser automation capabilities using Puppeteer. This server enables LLMs to interact with web pages, take screenshots, execute JavaScript, and perform various browser-based operations in a real browser environment.