A read-only MCP server that enables AI assistants to search, aggregate, and explore OpenSearch log data through 12 tools for connectivity, index discovery, search, and aggregations.
* Index Management Tools:
* List all indices in OpenSearch cluster
* Get index mapping
* Get index settings
* Cluster Management Tools:
* Get cluster health status
* Get cluster statistics
* Document Tools:
* Search documents
An MCP server that enables AI agents to interact with OpenSearch, including searching indices, managing documents, creating and deleting indexes, checking cluster health, and monitoring statistics.
Enables LLM clients to interact with OpenSearch Dashboards, including reading saved objects, listing tenants and index patterns, and querying logs through the Dashboards API.
opensearch-mcp-server-py is a Model Context Protocol (MCP) server for OpenSearch that enables AI assistants to interact with OpenSearch clusters. It provides a standardized interface for AI models to perform operations like searching indices, retrieving mappings, and managing shards through both stdio and streaming (SSE/Streamable HTTP) protocols.
A Model Context Protocol server that enables querying and analyzing Wazuh security logs stored in OpenSearch, with features for searching alerts, getting detailed information, generating statistics, and visualizing trends.
A Model Context Protocol server implementation that enables natural language interactions with OpenSearch clusters, allowing users to search documents, analyze indices, and manage clusters through simple conversational commands.
Enables LLMs to interact with OpenSearch clusters to monitor cluster health, manage indices, and perform data searches. It provides a standardized interface for real-time OpenSearch operations within MCP-compatible environments like Open WebUI.
MCP server for OpenSearch that enables AI assistants to interact with OpenSearch clusters through a standardized interface for search, index management, and cluster operations.
Enables querying OpenTelemetry logs stored in OpenSearch across development and production environments. Provides tools for searching logs by various criteria including free-text Lucene queries, trace IDs, service names, error levels, and specific fields.
A read-only MCP server for investigating Amazon OpenSearch Service domains using natural language, with tools for cluster health, index management, search, and diagnostics, secured by allowed profiles and regions.
An MCP server that enables interaction with Elasticsearch and OpenSearch clusters for searching documents and managing indices. It provides tools for cluster health monitoring, index configuration, and general API requests.
An MCP server for managing OpenSearch Dashboards, enabling AI assistants to create, manage, and inspect dashboards, visualizations, saved objects, and plugin features.