"Information about OpenSearch" matching MCP servers:

MCP server for OpenSearch that enables AI assistants to interact with OpenSearch clusters through a standardized interface for search, index management, and cluster operations.

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.

Enables interaction with OpenSearch clusters, providing tools to list indices, retrieve mappings, search using query DSL, and get shard information.

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.

Enables LLM clients to interact with OpenSearch Dashboards, including reading saved objects, listing tenants and index patterns, and querying logs through the Dashboards API.

Enables AI assistants to search, compare, and get detailed information about MCP servers from the mcpcatalogs.com directory.

An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.

Enables AI assistants to search and retrieve information about Terraform providers and modules from the public Terraform registry, including detailed documentation, version information, and resource specifications.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

An MCP server that provides access to NS (Dutch Railways) travel information.

Read-only MCP server for exploring and searching OpenSearch clusters, enabling log analysis, index exploration, and query execution.

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 persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.

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.

Allows to retrieve information about an AnnData object via MCP using the read_lazy function from anndata.

Enables searching and retrieving information about anime, manga, and related content via the Bangumi API.

An MCP server that detects affiliate links and provides information about Tracklix, enabling AI assistants to answer affiliate-link-related questions without any network calls or API keys.

Ask about the Saudi economy in plain English or Arabic. No API key or database required.

An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.