SaveMemoryTool

MCP tool from Opensearch MCP Server Py by opensearch-project

Saves facts, decisions, and preferences to persistent storage with automatic semantic enrichment.

How to use it

Project documentation lists SaveMemoryTool for the Opensearch MCP Server Py MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), then check which tools your installed version makes available. Tool availability can depend on configuration and credentials. A server handshake does not verify this tool’s behavior. See the full listing for setup details.

Install Opensearch MCP Server Py

$pip install opensearch-mcp-server-py
FULL OPENSEARCH MCP SERVER PY LISTING

Other tools in Opensearch MCP Server Py (30)

AddAgenticMemoriesTool
CatNodesTool
ClusterHealthTool
CountTool
CreateAgenticMemorySessionTool
DataDistributionTool
DeleteAgenticMemoryByIDTool
DeleteAgenticMemoryByQueryTool
DeleteMemoryTool

Removes outdated or incorrect memories by document ID.

ExplainTool
GetAgenticMemoryTool
GetAllocationTool
GetClusterStateTool
GetIndexInfoTool
GetIndexStatsTool
GetLongRunningTasksTool
GetNodesHotThreadsTool
GetNodesTool
GetQueryInsightsTool
GetSegmentsTool
GetShardsTool
IndexMappingTool
ListIndexTool
LogPatternAnalysisTool
MetricChangeAnalysisTool

Compares percentile distributions (P50, P90) of all numeric fields between a baseline and a selection time range, then returns the top fields ranked by change score. Useful for identifying which numeric metrics shifted most during an anomaly window.

MsearchTool
SearchAgenticMemoryTool
SearchIndexTool
SearchMemoryTool

Searches memories using natural language with recency-aware ranking.

UpdateAgenticMemoryTool