CSV Editor

MIT License

Overview InspectNew Schema Related Servers Reviews Score

find_anomalies

Detect anomalies in CSV data using customizable methods and sensitivity levels to identify irregularities and ensure data integrity within the MCP server's CSV Editor.

Instructions

Find anomalies in the data using multiple detection methods.

Input Schema

Name	Required	Description	Default
`columns`	No
`methods`	No
`sensitivity`	No
`session_id`	Yes

Input Schema (JSON Schema)

{
  "properties": {
    "columns": {
      "anyOf": [
        {
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Columns"
    },
    "methods": {
      "anyOf": [
        {
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Methods"
    },
    "sensitivity": {
      "default": 0.95,
      "title": "Sensitivity",
      "type": "number"
    },
    "session_id": {
      "title": "Session Id",
      "type": "string"
    }
  },
  "required": [
    "session_id"
  ],
  "type": "object"
}

MCP directory API

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/santoshray02/csv-editor'

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