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.
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process.env. You'll be asked to provide them before it can run.OPENSEARCH_MEMORY_MONITOR_INTERVALOPENSEARCH_URLOPENSEARCH_USERNAMEOPENSEARCH_PASSWORDOPENSEARCH_NO_AUTHAWS_IAM_ARNAWS_PROFILEAWS_OPENSEARCH_SERVERLESSOPENSEARCH_TIMEOUTOPENSEARCH_SSL_VERIFYOPENSEARCH_MAX_RESPONSE_SIZEOPENSEARCH_HEADER_AUTHAWS_REGIONOPENSEARCH_SETTINGS_ALLOW_WRITEOPENSEARCH_ENABLED_TOOLSOPENSEARCH_DISABLED_TOOLSOPENSEARCH_TOOL_CATEGORIESOPENSEARCH_ENABLED_CATEGORIESOPENSEARCH_DISABLED_CATEGORIES— Core tools are grouped under the core_tools category and can be disabled at once using =core_tools. Avoid creating custom categories with this name as they will override the built-in category.OPENSEARCH_ENABLED_TOOLS_REGEXOPENSEARCH_DISABLED_TOOLS_REGEX[](https://m8ven.ai/mcp/solanabughunter-glitch-opensearch-mcp-server-py-1t5uj4)