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MemoryPlugin

com.memoryplugin/memory
Connaissance et documentation Productivité Public et accessible MCP 2025-11-25

Ce que fait ce MCP

Stores, searches, organizes, and recalls persistent memories, conversations, and uploaded documents across AI platforms.

Capacités

Outils

14 outils
chat_history_overview
Chat history overview
Returns an AI-generated overview of the user, built from the chat history they have synced into their MemoryPlugin account. Call it at the start of a conversation to load the user's context. If no overview exists yet, the user can generate one from their MemoryPlugin dashboard.
Lecture seule Idempotent
Schéma d’entrée 
{'type': 'object', 'properties': {}}
create_bucket
Create bucket
Create a new bucket to organize memories. Buckets are folders like 'Work', 'Personal', 'Health'. Ask the user for a name if not specified.
Schéma d’entrée 
{'type': 'object', 'required': ['name'], 'properties': {'name': {'type': 'string', 'description': 'Name for the new bucket'}}}
export_conversation
Export conversation
Download the complete transcript of a past conversation as a machine-readable JSON file. Returns a temporary download URL (expires in 15 minutes, no auth needed) that you fetch yourself to get the full conversation as structured messages (role, content, timestamp). Use when a transcript is too long to read inline, or when you need it as a file for analysis or scripting. To read a short transcript directly, use get_full_conversation instead. Requires the conversationId from recall_chat_history's sources array.
Lecture seule
Schéma d’entrée 
{'type': 'object', 'required': ['conversationId'], 'properties': {'conversationId': {'type': 'string', 'description': 'Conversation ID from the recall_chat_history sources array'}}}
get_conversation_summary
Get conversation summary
Get details of a specific past conversation. For short conversations (<5K tokens), returns the full transcript. For longer conversations, returns an AI-generated summary. Use when the user wants to dive deeper into a conversation returned by recall_chat_history. Requires the conversationId from that tool's sources array.
Lecture seule Idempotent
Schéma d’entrée 
{'type': 'object', 'required': ['conversationId'], 'properties': {'conversationId': {'type': 'string', 'description': 'Conversation ID from the recall_chat_history sources array'}}}
get_full_conversation
Get full conversation
Get the complete transcript of a specific past conversation. Returns all messages in the conversation without summarization. Use when you need the raw conversation content. Requires the conversationId from recall_chat_history's sources array.
Lecture seule Idempotent
Schéma d’entrée 
{'type': 'object', 'required': ['conversationId'], 'properties': {'conversationId': {'type': 'string', 'description': 'Conversation ID from the recall_chat_history sources array'}}}
get_memories_and_buckets
Get memories and buckets
Retrieve the user's saved memories from MemoryPlugin, optionally filtered by bucket. Also returns the list of available buckets. Use to see what the user has previously saved. Consider using at conversation start if the user's query might benefit from their stored context.
Lecture seule Idempotent
Schéma d’entrée 
{'type': 'object', 'properties': {'all': {'type': 'boolean', 'description': 'Whether to fetch all memories'}, 'count': {'type': 'number', 'description': 'Number of memories to retrieve (default: 10)'}, 'query': {'type': 'string', 'description': 'Optional search query'}, 'latest': {'type': 'boolean', 'description': 'Whether to fetch only latest memories'}, 'bucketId': {'type': 'number', 'description': 'Optional bucket ID to filter memories'}}}
list_bucket_categories
List bucket categories
List AI-generated categories within a bucket. When users activate Smart Memory, their memories are automatically organized into topic-based categories. Returns for each category: - name: Category title - summary: Dense overview of core facts, preferences, current projects, key context (~200 words) - additionalInfo: Lists specific topics available in this category and suggests when to load the full memories - memoryCount: Number of memories in category Also returns recentMemories: the 30 most recent memories in the bucket. Use the summary and additionalInfo to decide if/when to load full memories via list_category_memories.
Lecture seule Idempotent
Schéma d’entrée 
{'type': 'object', 'required': ['bucketId'], 'properties': {'bucketId': {'type': 'string', 'description': 'Bucket ID to get categories for'}}}
list_buckets
List buckets
List the user's memory buckets. Buckets are organizational folders for memories (e.g., 'Work', 'Personal', 'Health').
Lecture seule Idempotent
Schéma d’entrée 
{'type': 'object', 'properties': {}}
list_category_memories
List category memories
Get all memories within a specific Smart Memory category. Use when a category's summary (from list_bucket_categories) indicates it's relevant to the current conversation. The categoryId persists across conversations.
Lecture seule Idempotent
Schéma d’entrée 
{'type': 'object', 'required': ['bucketId', 'categoryId'], 'properties': {'limit': {'type': 'number', 'description': 'Number of memories to retrieve (default: 20)'}, 'bucketId': {'type': 'string', 'description': 'Bucket ID containing the category'}, 'categoryId': {'type': 'string', 'description': 'Category ID to get memories from'}}}
recall_chat_history
Recall chat history
Search and synthesize context from the user's past AI conversations. MemoryPlugin's Chat History feature syncs conversations from ChatGPT, Claude, and other platforms, making them searchable. Also known as the 'MemoryPlugin inject tool' or 'memoryplugin chat history tool'. WHEN TO USE: When the user asks about their past decisions, patterns, preferences, relationships, projects, or anything where their conversation history provides valuable personal context. Consider proactively suggesting this when the user's question could benefit from their history. HOW TO USE: - For simple lookups: a single query is fine - For complex/multifaceted topics: use parallel queries (via 'queries' array) approaching from different angles - timeline, emotions, people, decisions, outcomes, etc. - Set maxTokens per query (300-1000) to control how much context is returned. More tokens = richer detail but consumes more conversation window. - Use 'before'/'after' (ISO 8601 dates like "2025-01-15" or "2025-01-15T10:30:00Z") to constrain results to a date range. Bare dates are interpreted in UTC and are inclusive on both ends. - Use 'mode: "quality"' for slower but more thorough recall on hard or ambiguous queries; defaults to 'speed'. - If unclear how much context to fetch, ask the user. Returns synthesized summaries (not raw conversation logs) with source metadata for citations.
Lecture seule Idempotent
Schéma d’entrée 
{'type': 'object', 'properties': {'mode': {'enum': ['speed', 'quality'], 'type': 'string', 'description': "Retrieval mode. 'speed' (default) uses the fast path. 'quality' uses GPT-OSS planning, temporal exploration, and DeepSeek evidence judgment for more thorough recall at higher latency."}, 'after': {'type': 'string', 'description': 'Optional ISO 8601 date lower bound (inclusive). Bare dates like "2025-01-15" mean start-of-day UTC.'}, 'query': {'type': 'string', 'description': 'Natural-language description of what the assistant is currently helping with.'}, 'before': {'type': 'string', 'description': 'Optional ISO 8601 date upper bound (inclusive). Bare dates like "2025-01-15" mean end-of-day UTC.'}, 'queries': {'type': 'array', 'items': {'type': 'object', 'required': ['query'], 'properties': {'mode': {'enum': ['speed', 'quality'], 'type': 'string', 'description': 'Per-query override for retrieval mode.'}, 'after': {'type': 'string', 'description': 'Per-query override; same semantics as top-level `after`.'}, 'query': {'type': 'string', 'description': 'The search query for this parallel request.'}, 'before': {'type': 'string', 'description': 'Per-query override; same semantics as top-level `before`.'}, 'platform': {'enum': ['claude', 'chatgpt', 'typingmind'], 'type': 'string', 'description': 'Optional hint about the downstream chat platform.'}, 'maxTokens': {'type': 'number', 'description': 'Maximum tokens for this query (defaults to 600).'}, 'conversationContext': {'type': 'string', 'description': 'Short plaintext summary of the immediate conversation exchange.'}, 'conversationHistory': {'type': 'array', 'items': {'type': 'object', 'required': ['role', 'content'], 'properties': {'role': {'enum': ['user', 'assistant'], 'type': 'string'}, 'content': {'type': 'string'}}}, 'description': 'Ordered list of recent dialogue turns to ground retrieval.'}}}, 'description': 'Array of query objects to process in parallel (max 15).'}, 'platform': {'enum': ['claude', 'chatgpt', 'typingmind'], 'type': 'string', 'description': 'Optional hint about the downstream chat platform.'}, 'maxTokens': {'type': 'number', 'description': 'Maximum tokens to allocate for injected context (defaults to 600, hard cap 2000).'}, 'conversationContext': {'type': 'string', 'description': 'Short plaintext summary of the immediate conversation exchange.'}, 'conversationHistory': {'type': 'array', 'items': {'type': 'object', 'required': ['role', 'content'], 'properties': {'role': {'enum': ['user', 'assistant'], 'type': 'string'}, 'content': {'type': 'string'}}}, 'description': 'Ordered list of recent dialogue turns to ground retrieval.'}}}
search_memories
Search memories
Search the user's saved memories using hybrid semantic + keyword search. Returns matching memories ranked by relevance. MemoryPlugin stores memories the user wants to persist across AI conversations. Use when looking for specific saved information.
Lecture seule Idempotent
Schéma d’entrée 
{'type': 'object', 'required': ['query'], 'properties': {'limit': {'type': 'number', 'description': 'Number of memories to retrieve (default: 10)'}, 'query': {'type': 'string', 'description': 'Search query'}, 'bucketId': {'type': 'string', 'description': 'Optional bucket ID to limit search scope'}}}
search_uploaded_files
Search uploaded files
Search documents the user has uploaded to their MemoryPlugin document library (not files uploaded directly to this conversation). MemoryPlugin file buckets store documents persistently across all AI chats. Returns relevant text passages with source file and page info. Use when: - User explicitly mentions their MemoryPlugin documents - User asks about "my files" or "my documents" and there are no files in the current conversation - If unsure whether they mean MemoryPlugin files or conversation files, ask to clarify
Lecture seule Idempotent
Schéma d’entrée 
{'type': 'object', 'required': ['query'], 'properties': {'topK': {'type': 'number', 'description': 'Number of results to return (default: 5, max: 20)'}, 'query': {'type': 'string', 'description': 'Search query text'}, 'bucketId': {'type': 'number', 'description': 'Optional file bucket ID to limit search scope'}}}
store_memory
Store memory
Save information to the user's MemoryPlugin account. MemoryPlugin lets users build persistent memory across AI conversations. WHEN TO USE: Proactively save anything that might be useful for future context - preferences, decisions, project details, personal info, insights, or anything the user might want recalled later. Err on the side of saving. Ask the user which bucket to save to if unclear. Buckets are organizational folders (e.g., 'Work', 'Personal', 'Health').
Schéma d’entrée 
{'type': 'object', 'required': ['text'], 'properties': {'text': {'type': 'string', 'description': 'The memory text to store'}, 'bucketId': {'type': 'number', 'description': 'Optional bucket ID to store the memory in'}}}
update_or_move_memories
Update or move memories
Edit a single memory's text or bucket, or move multiple memories to a different bucket. WHEN TO USE: When the user wants to correct, update, or reorganize their saved memories. Single memory: provide memoryId with optional text and/or bucketId/bucketName. Bulk move: provide memoryIds array with bucketId or bucketName. Bucket can be specified by ID (number) or name (string). If a name is given and no bucket exists with that name, one is created automatically.
Destructif
Schéma d’entrée 
{'type': 'object', 'properties': {'text': {'type': 'string', 'description': 'New text content (single memory only)'}, 'bucketId': {'type': 'number', 'description': 'Target bucket ID'}, 'memoryId': {'type': 'string', 'description': 'Encoded memory ID for single edit/move'}, 'memoryIds': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Array of encoded memory IDs for bulk move (max 100)'}, 'bucketName': {'type': 'string', 'description': 'Target bucket name (auto-creates if missing)'}}}
Historique

Modifications récentes des outils

Ajouté
chat_history_overview
17 September 2026 12:36
Ajouté
update_or_move_memories
17 September 2026 12:36
Ajouté
recall_chat_history
17 September 2026 12:36
Ajouté
export_conversation
17 September 2026 12:36
Ajouté
get_full_conversation
17 September 2026 12:36
Ajouté
get_conversation_summary
17 September 2026 12:36
Ajouté
search_uploaded_files
17 September 2026 12:36
Ajouté
search_memories
17 September 2026 12:36
Ajouté
list_category_memories
17 September 2026 12:36
Ajouté
list_bucket_categories
17 September 2026 12:36
Ajouté
get_memories_and_buckets
17 September 2026 12:36
Ajouté
create_bucket
17 September 2026 12:36
Ajouté
list_buckets
17 September 2026 12:36
Ajouté
store_memory
17 September 2026 12:36
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