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Google Docs Agent by Nova (CIVAI)

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co.civai.nova/google-docs-agentv1.0.0 Domain verified

I do everything related to Google Docs

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https://nova.civai.co/mcp/agents/google-docs-agent

Requests go through mcptry because browsers can't call most MCP servers directly. Header values are sent to the server for that request only and are never stored or logged.

Tool list from our last check. Connect live to refresh it.

docs__converse

Reply conversationally when the request is ambiguous or needs clarification.

reply_hintstring

Optional hint for the conversational reply.

This tool isn't marked read-only, so it may change something on the server or in an account you connected.

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Tools

Google Docs Agent by Nova (CIVAI) MCP server | mcptry

docs__converse

Reply conversationally when the request is ambiguous or needs clarification.

Argument	Type	Description
reply_hint	string	Optional hint for the conversational reply.

Input schema (JSON)

{
  "type": "object",
  "properties": {
    "reply_hint": {
      "type": "string",
      "description": "Optional hint for the conversational reply."
    }
  }
}

docs__create_doc

Run Google docs action: create doc

Argument	Type	Description
detail	string	Task-specific details from the objective.

Input schema (JSON)

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}

docs__delete_doc

Run Google docs action: delete doc

Argument	Type	Description
detail	string	Task-specific details from the objective.

Input schema (JSON)

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}

docs__get_doc

Run Google docs action: get doc

Argument	Type	Description
detail	string	Task-specific details from the objective.

Input schema (JSON)

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}

docs__list_docs

Run Google docs action: list docs

Argument	Type	Description
detail	string	Task-specific details from the objective.

Input schema (JSON)

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}

docs__rewrite_doc

Run Google docs action: rewrite doc

Argument	Type	Description
detail	string	Task-specific details from the objective.

Input schema (JSON)

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}

research__conduct-deep-research

Conduct deep, iterative research on a topic by generating multiple search queries, processing the results, and recursively exploring new research directions.

Argument	Type	Description
depth	integer	Depth of recursive exploration (0-2)
topic*	string	The main topic or question to research
breadth	integer	Number of search queries per research direction (1-5)
objective*	string	The specific goal or objective of the research
connection_id	string	Optional connection ID for the user
max_total_queries	integer	Maximum number of search queries to process (2-5)
max_duration_seconds	integer	Maximum duration for the research process in seconds (60-300)

Input schema (JSON)

{
  "type": "object",
  "required": [
    "topic",
    "objective"
  ],
  "properties": {
    "depth": {
      "type": "integer",
      "default": 1,
      "maximum": 2,
      "minimum": 0,
      "description": "Depth of recursive exploration (0-2)"
    },
    "topic": {
      "type": "string",
      "description": "The main topic or question to research"
    },
    "breadth": {
      "type": "integer",
      "default": 3,
      "maximum": 5,
      "minimum": 1,
      "description": "Number of search queries per research direction (1-5)"
    },
    "objective": {
      "type": "string",
      "description": "The specific goal or objective of the research"
    },
    "connection_id": {
      "type": "string",
      "default": "",
      "description": "Optional connection ID for the user"
    },
    "max_total_queries": {
      "type": "integer",
      "default": 2,
      "maximum": 5,
      "minimum": 2,
      "description": "Maximum number of search queries to process (2-5)"
    },
    "max_duration_seconds": {
      "type": "integer",
      "default": 120,
      "maximum": 300,
      "minimum": 60,
      "description": "Maximum duration for the research process in seconds (60-300)"
    }
  }
}

research__generate-research-report

Generate a comprehensive research report from existing research data.

Argument	Type	Description
objective*	string	The specific goal or objective of the report
research_data*	string	The research data and findings to include in the report

Input schema (JSON)

{
  "type": "object",
  "required": [
    "research_data",
    "objective"
  ],
  "properties": {
    "objective": {
      "type": "string",
      "description": "The specific goal or objective of the report"
    },
    "research_data": {
      "type": "string",
      "description": "The research data and findings to include in the report"
    }
  }
}