MCP server

Configure Memory Official

io.github.configure-dev/configure-memory

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

Bring your saved preferences, project decisions, and useful context into your next AI conversation.

Working at last checkOfficial: configure.dev's GitHub account (configure-dev)About 7,781 tokens per request once connected9 tools

Website

https://mcp.configure.dev/

At a glance

Type: MCP server
Publisher: configure.dev (verified by the MCP Registry)
Status: Working at last check
Tools: 9
Token cost: About 7,781 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 Cursor Add to VS Code VS 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 configure-memory https://mcp.configure.dev/

Claude Desktop

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

Codex (config.toml)

[mcp_servers.configure-memory]
url = "https://mcp.configure.dev/"

Gemini CLI

{"mcpServers":{"configure-memory":{"httpUrl":"https://mcp.configure.dev/"}}}

Cursor

{"mcpServers":{"configure-memory":{"url":"https://mcp.configure.dev/"}}}

VS Code

{"servers":{"configure-memory":{"type":"http","url":"https://mcp.configure.dev/"}}}

Antigravity

agy mcp add configure-memory https://mcp.configure.dev/

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":"configure-memory","server_url":"https://mcp.configure.dev/","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"configure-memory","server_url":"https://mcp.configure.dev/"}

Tools

configure_connect ~889 tokens
Mints the Configure link that fixes access for the current user — sign-in, app connect, or permission grant. This is the tool for two situations: a Configure tool result says authorization_required (the user is not signed in), or the user asks to sign in or connect an app. The user's data exists beh
configure_profile_commit ~678 tokens
Close out a Configure-profile-backed turn by submitting bounded turn evidence and, optionally, durable memories worth keeping. Error -32009 (commit_required) from any configure tool is resolved ONLY by this call: commit, then retry the blocked call — never configure_connect, which is for sign-in. Ca
configure_profile_forget ~1048 tokens
Delete the user's memories that YOU saved or imported. WHICH to delete: if you hold an id, pass id ("mem_..."); if you do NOT have an id and the user names a topic, pass match with a word the memory contains (match: "nursing") and forget finds and deletes your matching memories itself, no search fir
configure_profile_import ~1059 tokens
Import brings memories INTO the profile from outside — it never exports, lists, or shows what is already saved (use configure_profile_read or configure_profile_search for that, even when the user says "export" or "show me"). Two shapes go in here. A structured memory export, the ---SECTION:Name--- f
configure_profile_read ~1181 tokens
Read the current user's approved profile. Use the no-argument overview only when the user explicitly asks to review their profile or get a profile overview. For personalized help or a specific fact, use configure_profile_search with a concrete query about the current task; no overview is needed firs
configure_profile_remember ~1056 tokens
Save one explicit, durable fact the user stated about themselves so any Configure-connected agent the user allows can use it in future conversations. Use it when the user asks you to remember something or clearly signals a fact is for keeps (a stable preference stated for future use, an ongoing goal
configure_profile_remember_many ~620 tokens
Use this when the user asks to save several facts at once, or approves a list of facts you proposed. Saves each entry as a separate memory in the user's Configure profile, in one call. Send only facts the user asked to save or approved, each a short standalone statement about the user. If the user a
configure_profile_search ~759 tokens
Search or list permitted attributed profile memories/facts for the current user. Use this for personalized help, targeted retrieval, source-specific questions, or exact memory/fact lookup. For personalized help, pass a concrete query about the current task and relevant filters when known; no overvie
configure_project_share ~491 tokens
Share one Configure project without making a copy. Four modes with different stakes — action "list" only inspects (grants and open counts, changes nothing); every other mode changes access outside this conversation and needs the user's explicit go-ahead for that specific change. action "share" grant

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