memory_query

Access and filter stored observations using keywords, dates, tags, or agents. Retrieve relevant data efficiently for enhanced decision-making and problem-solving in AI-driven workflows.

Instructions

Query the memory store with advanced filters

Input Schema

Name	Required	Description
`after`	No	ISO date to filter observations after
`agent`	No	Agent that created the observations
`before`	No	ISO date to filter observations before
`keyword`	No	Text to search for in observations
`limit`	No	Maximum number of results to return
`tag`	No	Tag to filter observations by

Input Schema (JSON Schema)

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false,
  "properties": {
    "after": {
      "description": "ISO date to filter observations after",
      "type": "string"
    },
    "agent": {
      "description": "Agent that created the observations",
      "type": "string"
    },
    "before": {
      "description": "ISO date to filter observations before",
      "type": "string"
    },
    "keyword": {
      "description": "Text to search for in observations",
      "type": "string"
    },
    "limit": {
      "description": "Maximum number of results to return",
      "type": "number"
    },
    "tag": {
      "description": "Tag to filter observations by",
      "type": "string"
    }
  },
  "type": "object"
}

MCP Think Tank

memory_query

Instructions

Input Schema

Input Schema (JSON Schema)

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