MemoryPlugin

com.memoryplugin/memoryVersion 1.0.0

Give every AI you use one shared, permanent memory. Store once, recall in whichever AI you open.

Status

Responds235 msNov 14, 2026, 14:06 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:06 UTC
Latency: 235 ms
Remotes responding: 1 of 2
Sign-in: No sign-in, Sign-in unknown
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 21:12 UTC

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Connect

Streamable HTTP

https://www.memoryplugin.com/api/mcp/mcpResponds235 msNov 14, 2026, 14:06 UTC

No sign-in

Claude Code

claude mcp add --transport http memory https://www.memoryplugin.com/api/mcp/mcp

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: memory
Remote MCP server URL: https://www.memoryplugin.com/api/mcp/mcp

Cursor

{
  "mcpServers": {
    "memory": {
      "url": "https://www.memoryplugin.com/api/mcp/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"memory","type":"http","url":"https://www.memoryplugin.com/api/mcp/mcp"}'

SSE

https://www.memoryplugin.com/api/mcp/sseNot checkedUses SSE

Uses SSE (legacy), not checked

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Tools

14 tools

Tools of MemoryPlugin
	Description		Read-only	Idempotent	Open world
`chat_history_overview`Returns an AI-generated overview of the user, built from the chat history they have synced into their MemoryPlugin account. Use when the user asks what you know about them or asks you to load their background. If no overview exists yet, the user can generate one from their MemoryPlugin dashboard.	Returns an AI-generated overview of the user, built from the chat history they have synced into their MemoryPlugin account. Use when the user asks what you know about them or asks you to load their background. If no overview exists yet, the user can generate one from their MemoryPlugin dashboard.	No	Yes	Yes	No
`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.	Create a new bucket to organize memories. Buckets are folders like 'Work', 'Personal', 'Health'. Ask the user for a name if not specified.	No	No	No	No
`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.	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.	No	No	No	No
`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.	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.	No	Yes	Yes	No
`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.	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.	No	Yes	Yes	No
`get_memories_and_buckets`Retrieve the user's saved memories from MemoryPlugin, optionally filtered by bucket. Also returns the list of available buckets. Use when the user asks what you know about them or refers to something they saved earlier.	Retrieve the user's saved memories from MemoryPlugin, optionally filtered by bucket. Also returns the list of available buckets. Use when the user asks what you know about them or refers to something they saved earlier.	No	Yes	Yes	No
`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.	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.	No	Yes	Yes	No
`list_buckets`List the user's memory buckets. Buckets are organizational folders for memories (e.g., 'Work', 'Personal', 'Health').	List the user's memory buckets. Buckets are organizational folders for memories (e.g., 'Work', 'Personal', 'Health').	No	Yes	Yes	No
`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.	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.	No	Yes	Yes	No
`recall_chat_history`Search and synthesize context from the user's past AI conversations that they have synced into their MemoryPlugin account. WHEN TO USE: When the user asks about their past decisions, patterns, preferences, relationships, projects, or a specific earlier conversation. 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.	Search and synthesize context from the user's past AI conversations that they have synced into their MemoryPlugin account. WHEN TO USE: When the user asks about their past decisions, patterns, preferences, relationships, projects, or a specific earlier conversation. 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.	No	Yes	Yes	No
`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.	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.	No	Yes	Yes	No
`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	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	No	Yes	Yes	No
`store_memory`Save information to the user's MemoryPlugin account. MemoryPlugin lets users build persistent memory across AI conversations. WHEN TO USE: When the user asks to remember something, or confirms that a specific fact, preference, decision, or project detail from the conversation should be kept for later. Save only that item. Ask the user which bucket to save to if unclear. Buckets are organizational folders (e.g., 'Work', 'Personal', 'Health').	Save information to the user's MemoryPlugin account. MemoryPlugin lets users build persistent memory across AI conversations. WHEN TO USE: When the user asks to remember something, or confirms that a specific fact, preference, decision, or project detail from the conversation should be kept for later. Save only that item. Ask the user which bucket to save to if unclear. Buckets are organizational folders (e.g., 'Work', 'Personal', 'Health').	No	No	No	No
`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.	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.	Yes	No	No	No

Details

Registry status: Active
Published: Jul 30, 2026
Updated: Jul 30, 2026
Website: https://www.memoryplugin.com/⁠ (opens in a new tab)
Repository: Not given
Categories (suggested): Knowledge and notes Files and storageSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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