MemoryPlugin MCP server

• chat_history_overviewFree

  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.

• create_bucketwrite actionFree

  Create a new bucket to organize memories. Buckets are folders like 'Work', 'Personal', 'Health'. Ask the user for a name if not specified.

• export_conversationFree

  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.

• get_conversation_summaryFree

  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_full_conversationFree

  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_memories_and_bucketsFree

  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.

• list_bucket_categoriesFree

  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_bucketsFree

  List the user's memory buckets. Buckets are organizational folders for memories (e.g., 'Work', 'Personal', 'Health').

• list_category_memoriesFree

  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.

• recall_chat_historyFree

  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_memoriesFree

  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_uploaded_filesFree

  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

• store_memoryFree

  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').

• update_or_move_memorieswrite actionFree

  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.

• –Code scanremote-only server, no package to scann/a
• Live reliabilityremote reachable in 1128ms20/20
• Tool poisoning14 tool descriptions checked15/15
• Auth qualityopen endpoint exposes 2 write-action tools with no auth3/15
• Maintenanceno repository listed3/15
• Maintainer identityendpoint served from the registry-verified namespace domain8/10

Safety score

65/100

higher than 25% of 2,170 E-commerce servers

Tools

14

the typical E-commerce server has 6

Tools that change things

14%

typical: 0%. Fewer write tools means less an agent can break

Uptime

100%

of our recent checks; the typical remote E-commerce server answers 100%

Response time

361 ms

faster than 48% of 1,524 E-commerce servers

MemoryPlugin: common questions

Is MemoryPlugin MCP server safe?

With care: it is graded C, so read the findings first (65/100). Read the MemoryPlugin safety report

How do I install MemoryPlugin?

It runs remotely at www.memoryplugin.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.

Does MemoryPlugin need an API key?

Not as far as the registry entry and our scan can tell: no credentials are declared or required.

Is MemoryPlugin maintained?

The latest release is v1.0.0.

Is MemoryPlugin up?

100% of our last 28 checks got an answer. We check remote servers about four times a day.

What can I use instead of MemoryPlugin?

Servers from other publishers that do the same job: Delx Memory MCP server, Mneme Memory MCP server and Kagura Memory Cloud MCP server.

How does MemoryPlugin compare with other E-commerce MCP servers?

safety score 65/100 (higher than 25% of 2,170 E-commerce servers); tools 14 (the typical E-commerce server has 6); tools that change things 14% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.