Skip to main content
Glama
API.md5.09 kB
# memU MCP Server API Documentation This document describes the tools and interfaces provided by the memU MCP Server. ## Overview The memU MCP Server provides 5 main tools for memory management: - `memorize_conversation`: Store conversations in memory - `retrieve_memory`: Retrieve relevant memories - `search_memory`: Search memories semantically - `manage_memory`: Update or delete memories - `get_memory_stats`: Get memory statistics ## Tools Reference ### memorize_conversation Store a conversation in memU memory for future reference. **Parameters:** - `conversation` (string, required): The conversation text to memorize - `user_id` (string, optional): Unique identifier for the user (default: "default_user") - `user_name` (string, optional): Display name for the user (default: "User") - `agent_id` (string, optional): Unique identifier for the AI agent (default: "default_agent") - `agent_name` (string, optional): Display name for the AI agent (default: "Assistant") **Response:** ```json { "success": true, "message": "Conversation memorized successfully", "memory_id": "mem_001", "tokens_processed": 150, "processing_time": 0.234 } ``` **Example:** ```json { "conversation": "User: What's the weather like? Assistant: I don't have access to current weather data.", "user_id": "user123", "user_name": "John Doe", "agent_id": "assistant1", "agent_name": "Weather Assistant" } ``` ### retrieve_memory Retrieve relevant memories based on a query. **Parameters:** - `query` (string, required): Query to search for relevant memories - `user_id` (string, optional): User ID to search memories for (default: "default_user") - `limit` (integer, optional): Maximum number of memories to retrieve (default: 10, max: 50) **Response:** ```json { "success": true, "memories": [ { "id": "mem_001", "content": "Example memory content", "relevance_score": 0.85, "timestamp": "2024-01-01T12:00:00Z", "user_id": "user123", "metadata": { "conversation_id": "conv_001", "agent_id": "agent_001" } } ], "total_found": 1, "query": "weather information", "processing_time": 0.156 } ``` ### search_memory Search memories using semantic similarity. **Parameters:** - `search_query` (string, required): Text to search for in memories - `user_id` (string, optional): User ID to search memories for (default: "default_user") - `filters` (object, optional): Additional filters for search - `date_from` (string): Start date filter (ISO format) - `date_to` (string): End date filter (ISO format) - `agent_id` (string): Filter by agent ID - `limit` (integer, optional): Maximum number of results (default: 10, max: 50) **Response:** ```json { "success": true, "results": [ { "id": "mem_002", "content": "Memory content matching search query", "similarity_score": 0.92, "timestamp": "2024-01-01T12:00:00Z", "user_id": "user123" } ], "total_results": 1, "search_query": "weather forecast", "filters_applied": {}, "processing_time": 0.089 } ``` ### manage_memory Update or delete specific memories. **Parameters:** - `action` (string, required): Action to perform ("update" or "delete") - `memory_id` (string, required): ID of the memory to manage - `new_content` (string, required for update): New content for update action - `user_id` (string, optional): User ID who owns the memory (default: "default_user") **Response for Update:** ```json { "success": true, "message": "Memory updated successfully", "memory_id": "mem_001", "updated_content": "New content here", "processing_time": 0.045 } ``` **Response for Delete:** ```json { "success": true, "message": "Memory deleted successfully", "memory_id": "mem_001", "processing_time": 0.032 } ``` ### get_memory_stats Get statistics about stored memories. **Parameters:** - `user_id` (string, optional): User ID to get stats for (default: "default_user") - `include_details` (boolean, optional): Include detailed breakdown (default: false) **Response:** ```json { "success": true, "user_id": "user123", "total_memories": 42, "total_conversations": 15, "memory_size_mb": 1.2, "last_updated": "2024-01-01T12:00:00Z", "processing_time": 0.067, "details": { "memories_by_agent": { "agent_001": 25, "agent_002": 17 }, "memory_types": { "conversation": 35, "facts": 7 }, "date_range": { "earliest": "2023-12-01T00:00:00Z", "latest": "2024-01-01T12:00:00Z" } } } ``` ## Error Handling All tools return error responses in the following format when an error occurs: ```json { "success": false, "error": "Error message", "error_type": "ValidationError|ConnectionError|InternalError", "processing_time": 0.012 } ``` ## Rate Limits - 60 requests per minute per user - 1000 requests per hour per user - Memory storage limited to 100,000 characters per conversation ## Authentication The server requires a valid memU API key configured via environment variables or configuration file.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/MonsterOne1/memu-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server