Query Markup Documents - On-device hybrid search for markdown files with BM25, vector search, and LLM reranking
Nothing to run from here
MemoryPlugin is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
14
tools declared
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trust score
remote
at its publisher
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calls last 7d
What it does
Give every AI you use one shared, permanent memory. Store once, recall in whichever AI you open.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http memoryplugin-mcp-2 https://www.memoryplugin.com/api/mcp/mcp
# 2 — ask your agent for something these tools do
# store_memory, list_buckets, create_bucket and 11 more
MemoryPlugin costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
MEAll 2 servers
@memoryplugin2 servers
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
Claude Codedeclared by this listing
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http memoryplugin-mcp-2 https://www.memoryplugin.com/api/mcp/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
What you approve
14 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
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 organizationa
| Parameter | Type | Required | Notes |
|---|---|---|---|
| text | string | yes | The memory text to store |
| bucketId | number | no | Optional bucket ID to store the memory in |
List the user's memory buckets. Buckets are organizational folders for memories (e.g., 'Work', 'Personal', 'Health').
No parameter schema on file.
Create a new bucket to organize memories. Buckets are folders like 'Work', 'Personal', 'Health'. Ask the user for a name if not specified.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| name | string | yes | Name for the new bucket |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| bucketId | number | no | Optional bucket ID to filter memories |
| count | number | no | Number of memories to retrieve (default: 10) |
| all | boolean | no | Whether to fetch all memories |
| latest | boolean | no | Whether to fetch only latest memories |
| query | string | no | Optional search query |
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 ful
| Parameter | Type | Required | Notes |
|---|---|---|---|
| bucketId | string | yes | Bucket ID to get categories for |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| bucketId | string | yes | Bucket ID containing the category |
| categoryId | string | yes | Category ID to get memories from |
| limit | number | no | Number of memories to retrieve (default: 20) |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Search query |
| bucketId | string | no | Optional bucket ID to limit search scope |
| limit | number | no | Number of memories to retrieve (default: 10) |
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
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Search query text |
| bucketId | number | no | Optional file bucket ID to limit search scope |
| topK | number | no | Number of results to return (default: 5, max: 20) |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| conversationId | string | yes | Conversation ID from the recall_chat_history 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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| conversationId | string | yes | Conversation ID from the recall_chat_history 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
| Parameter | Type | Required | Notes |
|---|---|---|---|
| conversationId | string | yes | Conversation ID from the recall_chat_history sources array |
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' arr
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | no | Natural-language description of what the assistant is currently helping with. |
| maxTokens | number | no | Maximum tokens to allocate for injected context (defaults to 600, hard cap 2000). |
| platform | string | no | Optional hint about the downstream chat platform. |
| conversationContext | string | no | Optional one-sentence summary of what the user is currently working on, to focus retrieval. Do not pass message text. |
| before | string | no | Optional ISO 8601 date upper bound (inclusive). Bare dates like "2025-01-15" mean end-of-day UTC. |
| after | string | no | Optional ISO 8601 date lower bound (inclusive). Bare dates like "2025-01-15" mean start-of-day UTC. |
| mode | string | no | 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. |
| queries | array | no | Array of query objects to process in parallel (max 15). |
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 a
| Parameter | Type | Required | Notes |
|---|---|---|---|
| memoryId | string | no | Encoded memory ID for single edit/move |
| memoryIds | array | no | Array of encoded memory IDs for bulk move (max 100) |
| text | string | no | New text content (single memory only) |
| bucketId | number | no | Target bucket ID |
| bucketName | string | no | Target bucket name (auto-creates if missing) |
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 parameter schema on file.
Free
$0 forever
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install MemoryPlugin or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
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Alert at 80% · then the tool returns a normal MCP error
Used this month: —
—Grade not published
No rule-by-rule report on file for this release
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.0.
1.0.0
undated
latestNo release note was published with this version.
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no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish MemoryPlugin can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.