{
  "info": {
    "name": "TextRazor — mcp.ai",
    "description": "REST API for the TextRazor MCP. Set {{apiKey}} to a workspace key (sk_live_…) created at https://mcp.ai/settings/api-keys.",
    "schema": "https://schema.getpostman.com/json/collection/v2.1.0/collection.json"
  },
  "auth": {
    "type": "bearer",
    "bearer": [
      {
        "key": "token",
        "value": "{{apiKey}}",
        "type": "string"
      }
    ]
  },
  "variable": [
    {
      "key": "baseUrl",
      "value": "https://api.mcp.ai/api/textrazor",
      "type": "string"
    },
    {
      "key": "apiKey",
      "value": "sk_live_...",
      "type": "string"
    }
  ],
  "item": [
    {
      "name": "textrazor_account_info",
      "request": {
        "method": "POST",
        "header": [
          {
            "key": "Content-Type",
            "value": "application/json"
          }
        ],
        "url": {
          "raw": "{{baseUrl}}/account/info",
          "host": [
            "{{baseUrl}}"
          ],
          "path": [
            "account",
            "info"
          ]
        },
        "description": "This tool retrieves comprehensive information about a TextRazor account, providing essential details about the account's status, usage, and limits. It returns an Account object containing properties s",
        "body": {
          "mode": "raw",
          "raw": "{}",
          "options": {
            "raw": {
              "language": "json"
            }
          }
        }
      }
    },
    {
      "name": "textrazor_classify_text",
      "request": {
        "method": "POST",
        "header": [
          {
            "key": "Content-Type",
            "value": "application/json"
          }
        ],
        "url": {
          "raw": "{{baseUrl}}/classify/text",
          "host": [
            "{{baseUrl}}"
          ],
          "path": [
            "classify",
            "text"
          ]
        },
        "description": "This tool will classify text into predefined categories using TextRazor's classification capabilities. It takes input text, optional cleanup mode and language, and returns a list of relevant categorie",
        "body": {
          "mode": "raw",
          "raw": "{\n  \"text\": \"\",\n  \"classifiers\": \"\",\n  \"cleanup_mode\": \"\",\n  \"language_override\": \"\"\n}",
          "options": {
            "raw": {
              "language": "json"
            }
          }
        }
      }
    },
    {
      "name": "textrazor_custom_classifier_manager",
      "request": {
        "method": "POST",
        "header": [
          {
            "key": "Content-Type",
            "value": "application/json"
          }
        ],
        "url": {
          "raw": "{{baseUrl}}/custom/classifier/manager",
          "host": [
            "{{baseUrl}}"
          ],
          "path": [
            "custom",
            "classifier",
            "manager"
          ]
        },
        "description": "This tool manages custom classifiers in TextRazor, allowing users to create, update, and manage custom classification categories.",
        "body": {
          "mode": "raw",
          "raw": "{\n  \"limit\": 0,\n  \"offset\": 0,\n  \"operation\": \"\",\n  \"categories\": \"\",\n  \"category_id\": \"\",\n  \"classifier_id\": \"\"\n}",
          "options": {
            "raw": {
              "language": "json"
            }
          }
        }
      }
    },
    {
      "name": "textrazor_dictionary_manager",
      "request": {
        "method": "POST",
        "header": [
          {
            "key": "Content-Type",
            "value": "application/json"
          }
        ],
        "url": {
          "raw": "{{baseUrl}}/dictionary/manager",
          "host": [
            "{{baseUrl}}"
          ],
          "path": [
            "dictionary",
            "manager"
          ]
        },
        "description": "Manage custom entity dictionaries in TextRazor for enhanced named entity recognition. This tool enables you to create and manage dictionaries of domain-specific entities (e.g., product names, company ",
        "body": {
          "mode": "raw",
          "raw": "{\n  \"entries\": \"\",\n  \"operation\": \"\",\n  \"dictionary_id\": \"\"\n}",
          "options": {
            "raw": {
              "language": "json"
            }
          }
        }
      }
    },
    {
      "name": "textrazor_extract_entities",
      "request": {
        "method": "POST",
        "header": [
          {
            "key": "Content-Type",
            "value": "application/json"
          }
        ],
        "url": {
          "raw": "{{baseUrl}}/extract/entities",
          "host": [
            "{{baseUrl}}"
          ],
          "path": [
            "extract",
            "entities"
          ]
        },
        "description": "Extract named entities (people, places, companies, etc.) from text using TextRazor's entity extraction API. The tool will identify and classify named entities within the provided text, returning detai",
        "body": {
          "mode": "raw",
          "raw": "{\n  \"text\": \"\",\n  \"cleanup_mode\": \"\",\n  \"language_override\": \"\",\n  \"entities_allow_overlap\": false,\n  \"entities_filter_dbpedia_types\": \"\",\n  \"entities_filter_freebase_types\": \"\"\n}",
          "options": {
            "raw": {
              "language": "json"
            }
          }
        }
      }
    },
    {
      "name": "textrazor_text_razor_analyze_content",
      "request": {
        "method": "POST",
        "header": [
          {
            "key": "Content-Type",
            "value": "application/json"
          }
        ],
        "url": {
          "raw": "{{baseUrl}}/text/razor/analyze/content",
          "host": [
            "{{baseUrl}}"
          ],
          "path": [
            "text",
            "razor",
            "analyze",
            "content"
          ]
        },
        "description": "A comprehensive content analysis tool that combines multiple TextRazor extractors to perform a complete analysis of the input text. This action allows users to analyze text content with multiple extra",
        "body": {
          "mode": "raw",
          "raw": "{\n  \"text\": \"\",\n  \"extractors\": \"\",\n  \"cleanup_mode\": \"\",\n  \"language_override\": \"\",\n  \"cleanup_use_metadata\": false,\n  \"cleanup_return_cleaned\": false\n}",
          "options": {
            "raw": {
              "language": "json"
            }
          }
        }
      }
    }
  ]
}