Writer MCP

"""Character management tools for Writer MCP.""" from typing import Any, Dict, List, Optional from mcp.types import CallToolRequest, Tool, TextContent from ..database.connection import DatabaseConnection from ..utils.logger import get_logger logger = get_logger(__name__) def get_character_tools() -> List[Tool]: """Get list of available character management tools.""" return [ Tool( name="create_character", description="Create a new character in the knowledge base", inputSchema={ "type": "object", "properties": { "name": { "type": "string", "description": "Character name" }, "description": { "type": "string", "description": "Character description" }, "tags": { "type": "array", "items": {"type": "string"}, "description": "Character tags" } }, "required": ["name", "description"] } ), Tool( name="search_characters", description="Search for characters using semantic or text search", inputSchema={ "type": "object", "properties": { "query": { "type": "string", "description": "Search query" }, "limit": { "type": "integer", "description": "Maximum number of results", "default": 10 } }, "required": ["query"] } ), Tool( name="add_character_fact", description="Add a knowledge fact about a character", inputSchema={ "type": "object", "properties": { "character_id": { "type": "integer", "description": "Character ID" }, "fact_type": { "type": "string", "description": "Type of fact (appearance, personality, background, etc.)" }, "content": { "type": "string", "description": "Fact content" } }, "required": ["character_id", "fact_type", "content"] } ), Tool( name="search_facts", description="Search for character facts", inputSchema={ "type": "object", "properties": { "query": { "type": "string", "description": "Search query" }, "character_id": { "type": "integer", "description": "Optional character ID to filter by" }, "fact_type": { "type": "string", "description": "Optional fact type to filter by" }, "limit": { "type": "integer", "description": "Maximum number of results", "default": 10 } }, "required": ["query"] } ), Tool( name="generate_character_tags", description="Generate tags for a character using AI", inputSchema={ "type": "object", "properties": { "character_id": { "type": "integer", "description": "Character ID" } }, "required": ["character_id"] } ), Tool( name="analyze_character_relationships", description="Analyze relationships between characters using AI", inputSchema={ "type": "object", "properties": { "character_ids": { "type": "array", "items": {"type": "integer"}, "description": "List of character IDs to analyze" } }, "required": ["character_ids"] } ) ] async def handle_tool_call( request: CallToolRequest, db: Optional[DatabaseConnection] ) -> List[TextContent]: """Handle tool calls for character management.""" if not db: return [TextContent(type="text", text="Database not available")] try: if request.name == "create_character": return await create_character(request.arguments, db) elif request.name == "search_characters": return await search_characters(request.arguments, db) elif request.name == "add_character_fact": return await add_character_fact(request.arguments, db) elif request.name == "search_facts": return await search_facts(request.arguments, db) elif request.name == "generate_character_tags": return await generate_character_tags(request.arguments, db) elif request.name == "analyze_character_relationships": return await analyze_character_relationships(request.arguments, db) else: return [TextContent(type="text", text=f"Unknown tool: {request.name}")] except Exception as e: logger.error(f"Error in tool {request.name}: {e}") return [TextContent(type="text", text=f"Error: {str(e)}")] async def create_character( args: Dict[str, Any], db: DatabaseConnection ) -> List[TextContent]: """Create a new character.""" # TODO: Implement character creation return [TextContent( type="text", text="Character creation not yet implemented" )] async def search_characters( args: Dict[str, Any], db: DatabaseConnection ) -> List[TextContent]: """Search for characters.""" # TODO: Implement character search return [TextContent( type="text", text="Character search not yet implemented" )] async def add_character_fact( args: Dict[str, Any], db: DatabaseConnection ) -> List[TextContent]: """Add a fact about a character.""" # TODO: Implement fact addition return [TextContent( type="text", text="Fact addition not yet implemented" )] async def search_facts( args: Dict[str, Any], db: DatabaseConnection ) -> List[TextContent]: """Search for character facts.""" # TODO: Implement fact search return [TextContent( type="text", text="Fact search not yet implemented" )] async def generate_character_tags( args: Dict[str, Any], db: DatabaseConnection ) -> List[TextContent]: """Generate tags for a character using AI.""" # TODO: Implement AI tag generation return [TextContent( type="text", text="Tag generation not yet implemented" )] async def analyze_character_relationships( args: Dict[str, Any], db: DatabaseConnection ) -> List[TextContent]: """Analyze character relationships using AI.""" # TODO: Implement relationship analysis return [TextContent( type="text", text="Relationship analysis not yet implemented" )]