MCP server

Memxus Official

com.memxus/memxus

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Persistent memory layer that saves and recalls your project context and preferences.

Source

At a glance

Type

MCP server

Publisher

memxus.com (verified by the MCP Registry)

Status

Working at last check

Tools

9

Token cost

About 4,598 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http memxus https://mcp.memxus.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.memxus]
url = "https://mcp.memxus.com/mcp"

Gemini CLI

{"mcpServers":{"memxus":{"httpUrl":"https://mcp.memxus.com/mcp"}}}

Cursor

{"mcpServers":{"memxus":{"url":"https://mcp.memxus.com/mcp"}}}

VS Code

{"servers":{"memxus":{"type":"http","url":"https://mcp.memxus.com/mcp"}}}

Antigravity

agy mcp add memxus https://mcp.memxus.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"memxus","server_url":"https://mcp.memxus.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"memxus","server_url":"https://mcp.memxus.com/mcp"}

Tools

• forget Deletes data · ~385 tokens
  Permanently delete one memory by UUID. When to use: user asks to remove outdated or incorrect context, or to free plan storage. When NOT: fix content → update (mode=replace); find the ID first → list_memories or recall. Requires delete OAuth scope. Non-idempotent: deleting the same memory_id twice f
• get_context ~844 tokens
  Builds a formatted context block for a topic from stored memories; use when the user asks to load or recall project context. Omit topic and collection to show the text collection picker (Memxus menu flow). Call list_collections when unsure of the exact slug. Partial collection names are resolved ser
• get_memory ~303 tokens
  Retrieve the full content and metadata of one memory by its UUID. Use after list_memories or recall returned a truncated preview and you need the complete text. Returns content, memory_type, tags, collection, importance, and the creation timestamp. Get the UUID from a prior list_memories or recall r
• list_collections ~117 tokens
  List memory collections (folders/scopes) for this user. GitHub/Notion syncs appear under project:<slug> when unified collections are enabled. Use before a scoped recall/get_context when the user mentions a project name, or to look up the team workspace names accepted by the workspace parameter of th
• list_memories ~699 tokens
  List recent memories in reverse-chronological order (read-only). When to use: audit what is saved, browse a collection, or collect memory IDs for get_memory or forget. When NOT: semantic search by topic → recall; one full record → get_memory; aggregate counts only → memory_stats. Behavior: default 2
• memory_stats ~228 tokens
  Show aggregate statistics about stored memories: the total count, a breakdown by memory_type and by collection, and storage bytes used versus the plan limit. Use to understand what is stored before browsing with list_memories, or to check remaining storage capacity. To show stats for a team workspac
• recall ~848 tokens
  Search long-term memory. Call list_collections when scope is unclear. For GitHub/Notion synced content use collection project:<slug> (unified per project) or tags github/notion. Connect at dashboard.memxus.com/integrations. To search a team workspace instead of personal memory, pass workspace: <name
• remember ~656 tokens
  Save important information to long-term memory. Always set collection when the topic is clear: project work → project:<slug>, personal tastes → personal:preferences. Use append_to to extend an existing memory instead of creating duplicates. Vector search indexing completes asynchronously within a fe
• update ~518 tokens
  Update an existing memory by ID. Use mode replace (default) to patch fields, or append to extend content. Re-embeds only when content changes. The target workspace is always the one the memory itself belongs to (echoed in resolved_workspace); optionally pass workspace: <name> as a safety confirmatio

Browse

• GitHub tools
• Notion tools
• Notes and wikis
• GitHub and code hosting
• Memory for agents
• Searching your documents (RAG)

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