"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.

Searches OpenSearch documentation, blogs, and community forums.

Provides a semantic memory layer that integrates LLMs with OpenSearch, enabling storage and retrieval of memories within the OpenSearch engine.

Enables querying ShareFile OpenSearch production logs via MCP with automatic EntraID OAuth authentication.

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.

MCP server for Malcolm (Zeek/Suricata/Arkime/OpenSearch/NetBox): full read surface plus opt-in, audited write tools.

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 users to retrieve and structure shipment tracking information from DB Schenker's website using natural language queries.

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.

Provides professional cycling data from FirstCycling, allowing users to retrieve comprehensive information about cyclists, race results, historical cycling data, and team information through natural language queries.

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

Connects MCP-compatible coding agents to VMware vCenter to query information about virtual machines, hosts, clusters, datastores, datacenters, and networks.

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.

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

A Model Context Protocol server that provides natural language access to Cortex API, enabling users to query information about their system's structure and make faster decisions about services, incidents, and team responsibilities.

* 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

A Kubernetes management MCP server that provides interfaces for getting information about Kubernetes clusters, performing operations, monitoring status, and analyzing resources.

Enables AI assistants to interact with OpenSearch clusters for searching indices, retrieving mappings, and managing shards through the MCP protocol.

Provides access to government development, geography and land information data through a FastMCP interface, including data on new building plans processed by the Building Authority.

An MCP server that provides detailed information about your development environment to the Cursor code editor, enabling more context-aware assistance.

Enables AI assistants such as Claude, ChatGPT and Cursor to search and inspect an OpenSearch cluster — listing indices, fetching mappings and settings, running query DSL document searches, and checking cluster health, shard allocation, dashboards and admin diagnostics — through read-only tools. It can run locally as a stdio child process or as a shared HTTPS endpoint protected by API tokens or OAuth.

Enables users to query information about LPDP scholarship financial disbursement using RAG with Pinecone vector search and Gemini 2.0 Flash, answering questions about funding components, deadlines, living allowances, and required documents.

An MCP server that allows Cursor users to fetch real-time information about Zendesign design system components.