"Elasticsearch" matching MCP servers:

Read/write Elasticsearch mcp server with many tools

Connects agents to Elasticsearch data using the Model Context Protocol, allowing natural language interaction with Elasticsearch indices through MCP Clients like Claude Desktop and Cursor.

This is an elasticsearch mcp server developed based on sprint ai.

Enables AI assistants to search Elasticsearch logs, retrieve log details, analyze service health, scan local codebases for APIs, and create Kibana dashboards.

MCP-Server from your Database optimized for LLMs and AI-Agents. Supports PostgreSQL, MySQL, ClickHouse, Snowflake, MSSQL, BigQuery, Oracle Database, SQLite, ElasticSearch, DuckDB

Provides a unified MCP server to interact with multiple middleware (Loki, MySQL, Redis, RocketMQ, Elasticsearch, MongoDB) through a desktop application for connection management and configuration export.

A template for creating MCP servers in Node.js/TypeScript with a modular architecture. It simplifies adding new tools and includes an example Elasticsearch search tool.

Provides CRUD tools for managing a database of Italian cities backed by Elasticsearch. It enables AI assistants to search, create, update, and delete city records through a standardized Model Context Protocol interface.

Enables AI agents to search and retrieve 1C:Enterprise 8.3 syntax documentation, including quick references, detailed syntax info, and object members, through MCP tools backed by an Elasticsearch index.

Provides read-only database access for AI agents across multiple databases (Postgres, MySQL, MongoDB, Elasticsearch) with enforced read-only guarantees and separate tools for prod and non-prod environments.