# Memoryplugin Memory MCP server

Source: https://glimind.com/server/mcp-registry%2Fcom.memoryplugin%2Fmemory
Registry id: `mcp-registry/com.memoryplugin/memory`
Status: live (checked 2026-10-27T06:03:49.551Z)

## Verdict

Memoryplugin Memory MCP server answered 100% of Glimind's liveness checks over 30 days, better than 42% of MCP servers, with 479 ms median handshake and 0 outages in 90 days. Its agent-readiness grade is A (95/100) across 14 tools, costing an agent about 2,940 tokens to load. Checked every few minutes; no tool is ever called.

## Measurements (30 days)

| Metric | Value | Better than |
|---|---|---|
| Uptime, 30 days | 100% | 42% of MCP servers |
| Median handshake latency | 479 ms | 49% of MCP servers |
| p95 handshake latency | 2644 ms | — |
| Checks in 30 days | 4,964 | — |
| Outages, 90 days | 0 | — |
| Median recovery | — | — |
| Agent-readiness score | 95/100 (A) | 79% of MCP servers |
| Tools | 14 | — |
| Tool-list size for an agent | ~2,940 tokens | 46% of MCP servers |
| Days observed | 29 | — |

## Install

```json
{
  "mcpServers": {
    "memoryplugin-memory-mcp-server": {
      "type": "http",
      "url": "https://www.memoryplugin.com/api/mcp/mcp"
    }
  }
}
```

Claude Code:

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

## Tools (14)

- `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
- `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.
- `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
- `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-generate
- `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 conversat
- `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
- `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 
- `list_buckets`: List the user's memory buckets. Buckets are organizational folders for memories (e.g., 'Work', 'Personal', 'Health').
- `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 con
- `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
- `search_memories`: Search the user's saved memories using hybrid semantic + keyword search. Returns matching memories ranked by relevance. MemoryPlugin stores memories the user wa
- `search_uploaded_files`: Search documents the user has uploaded to their MemoryPlugin document library (not files uploaded directly to this conversation). MemoryPlugin file buckets stor
- `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
- `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

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.