{
  "server_info": {
    "name": "mcp_server_rememberizer",
    "description": "A Model Context Protocol server for interacting with the Rememberizer API.",
    "repo_url": "https://github.com/skydeckai/mcp-server-rememberizer",
    "server_type": "Community Servers",
    "server_category": [
      "Cloud Service",
      "API Integration"
    ],
    "server_version": "Not specified in the provided code"
  },
  "tools": [
    {
      "name": "ACCOUNT_INFORMATION",
      "description": "Get account information",
      "input_schema": {
        "type": "object"
      }
    },
    {
      "name": "SEARCH",
      "description": "Search for documents by semantic similarity",
      "input_schema": {
        "type": "object",
        "properties": {
          "q": {
            "type": "string",
            "description": "Up to a 400-word sentence for which you wish to find semantically similar chunks of knowledge."
          },
          "n": {
            "type": "integer",
            "description": "Number of semantically similar chunks of text to return. Use 'n_results=3' for up to 5, and 'n_results=10' for more information. If you do not receive enough information, consider trying again with a larger 'n_results' value."
          },
          "from": {
            "type": "string",
            "description": "Start date in ISO 8601 format with timezone (e.g., 2023-01-01T00:00:00Z). Use this to filter results from a specific date."
          },
          "to": {
            "type": "string",
            "description": "End date in ISO 8601 format with timezone (e.g., 2024-01-01T00:00:00Z). Use this to filter results until a specific date."
          }
        },
        "required": [
          "q"
        ]
      }
    },
    {
      "name": "AGENTIC_SEARCH",
      "description": "Search for documents by semantic similarity",
      "input_schema": {
        "type": "object",
        "properties": {
          "query": {
            "type": "string",
            "description": "Up to a 400-word sentence for which you wish to find semantically similar chunks of knowledge."
          },
          "user_context": {
            "type": "string",
            "description": "The additional context for the query. You might need to summarize the conversation up to this point for better context-awared results."
          },
          "n_chunks": {
            "type": "integer",
            "description": "Number of semantically similar chunks of text to return. Use 'n_results=3' for up to 5, and 'n_results=10' for more information. If you do not receive enough information, consider trying again with a larger 'n_results' value."
          },
          "from": {
            "type": "string",
            "description": "Start date in ISO 8601 format with timezone (e.g., 2023-01-01T00:00:00Z). Use this to filter results from a specific date."
          },
          "to": {
            "type": "string",
            "description": "End date in ISO 8601 format with timezone (e.g., 2024-01-01T00:00:00Z). Use this to filter results until a specific date."
          }
        },
        "required": [
          "query"
        ]
      }
    },
    {
      "name": "LIST_INTEGRATIONS",
      "description": "List available data source integrations",
      "input_schema": {
        "type": "object"
      }
    },
    {
      "name": "LIST_DOCUMENTS",
      "description": "Retrieves a paginated list of all documents in the system.",
      "input_schema": {
        "type": "object",
        "properties": {
          "page": {
            "type": "integer",
            "description": "Page number for pagination (starts at 1)",
            "minimum": 1,
            "default": 1
          },
          "page_size": {
            "type": "integer",
            "description": "Number of documents per page (1-1000)",
            "minimum": 1,
            "maximum": 1000,
            "default": 100
          }
        }
      }
    },
    {
      "name": "MEMORIZE",
      "description": "Save a piece of text information in your Rememberizer account to help you discover semantically similar knowledge in the future.",
      "input_schema": {
        "type": "object",
        "properties": {
          "name": {
            "type": "string",
            "description": "Name of the information. This is used to identify the information in the future."
          },
          "content": {
            "type": "string",
            "description": "The information you wish to memorize."
          }
        }
      }
    }
  ],
  "resources": [
    {
      "name": "document",
      "description": "A document resource from Rememberizer.",
      "uri": "rememberizer://document/{id}"
    },
    {
      "name": "slack",
      "description": "A Slack resource from Rememberizer.",
      "uri": "rememberizer://slack/{id}"
    }
  ],
  "prompts": []
}