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aiponge

Private journaling with AI-generated reflective songs, books, and personal insights.

aiponge connects to your private journal entries and generates personalized songs, guided meditations, and audiobooks based on your reflections. It learns your patterns and themes to offer wellness insights and curated content from its library.

Try asking Muse: "Turn my journal entry about my trip to Berlin into a song with jazz and female vocals."

Useful? Vote it up. One vote per person, tap again to undo.
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Working now?
Working
Worked last 7 days
100% of checks
How to get it
Extra setup
Account
No account needed
Price
Not stated
Works in

Source: Found in the official MCP Registry (app.aiponge/mcp) · First listed September 24, 2026

Last 24 hours

Each bar is one check, every 15 minutes. Green means it answered. Last checked 3 h ago.

New to Muse?Muse is Meta's AI assistant. aiponge is an app you add to it, and once it is on, you can ask Muse to do this for you: private journaling with ai-generated reflective songs, books, and personal insights. It takes about two minutes and you can turn it off any time.

Is it safe to connect?

What Muse can see: It does not ask you to sign in, so it cannot see your accounts. It only sees what Muse sends it from your request.

Before it acts: Read what Muse plans to do before you approve it, and remove the app from Muse when you stop using it.

musedirectory.ai is not part of Meta. More about how Muse handles your information

How to add it to Muse

Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Open Muse
https://mcp.aiponge.com/mcp

Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.

Also use it in ChatGPT or Claude

aiponge is a remote MCP server, so any assistant that can add a custom connector by link can use it. Same link, same tools.

Add it to ChatGPT
  1. 1

    Open ChatGPT settings

    In ChatGPT, open Settings, then Connectors (called Apps & Connectors on some accounts).

  2. 2

    Turn on developer mode

    Under Advanced settings, switch on Developer mode. That is what lets you add a connector by link.

  3. 3

    Create the connector

    Choose Create, give it a name, paste the link as the MCP server URL, and save. If it needs a sign-in, ChatGPT asks for it here.

  4. 4

    Use it in a chat

    Start a chat, open the tools menu, pick the connector, and ask. ChatGPT asks before it runs a tool the first time.

Custom connectors need a paid ChatGPT plan, and on Team, Enterprise and Edu accounts only an admin can add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in ChatGPT

Add it to Claude
  1. 1

    Open Claude settings

    In Claude, open Settings, then Connectors.

  2. 2

    Add a custom connector

    Choose Add custom connector, give it a name, and paste the link.

  3. 3

    Connect and use it

    If it needs a sign-in, Claude sends you to it. Then turn the connector on in a chat from the tools menu and ask.

Custom connectors are available on paid Claude plans; on Team and Enterprise accounts an admin may need to add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in Claude

https://mcp.aiponge.com/mcp

What people ask Muse to do

Everything Muse can do

Technical details: safety screening, tools, response time and recent checks

Response time at the last check: 154ms. Worked in 100% of checks over 30 days.

Screening · September 24, 2026

Screened, no issues found

MCP handshake
Pass
Answered in 175ms
Domain against threat feeds (Cloudflare security DNS)
Pass
mcp.aiponge.com, aiponge.app not flagged
Published packages against the OSV malicious-package database
n/a
No npm or PyPI package published
Hidden instructions or invisible characters in tool text
Pass
15 tools read, nothing found
Inputs asking for passwords, card numbers or seed phrases
Pass
None found
Domain and redirects
Pass
Domain registered 1307 days ago
AI review of purpose and tool behavior
Pass
No concerns

Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.

Tools · 23

get_capabilitiesReturn the canonical aiponge MCP tool map, workflow order, account/role requirements, and UI panel capabilities. Use only to choose tools for supported reflection, journal, music, or book requests. Do not call this or any aiponge tool for account deletion, unrelated local search
get_profileShow the user's account profile and saved settings: "what's on my profile?", "what language am I set to?", "my account settings". Returns account details, profile, general preferences, and activity counts, including saved song genre, vocals, and instruments when configured. Unset
list_audio_preference_profilesList the user's saved song sound profiles, including each profile ID and label. Use this before generate_track when the user asks to create a song with a named saved sound. Read-only.
update_audio_preferencesChange / set / update the user's saved AUDIO (music) preferences — the defaults generate_track applies automatically to every new song (genre, vocal gender, language, instruments, default audio content type). Supplied fields replace their saved defaults without an undo history; o
list_booksShow / list the user's OWN books — "what books do I have?", "my library", "my books". Returns only the books they own or created, NOT the shared aiponge catalog. To discover or search the wider aiponge book catalog, use browse_books instead.
browse_booksBrowse / search / discover / find books in the shared aiponge library catalog (not just the user's own — for those use list_books). "Find me a book about gratitude", "what books are there on sleep?", "browse the library". Optionally filter by `search` text or `typeId`. Searches a
read_bookRead / open a book's text content — its chapters and the prose of each — so you can summarize, quote, or discuss it. "Read me that book", "what does the book say?", "summarize this book". Resolve the bookId via browse_books or list_books first. Set chapterOffset and chapterLimit
play_audiobookPlay / listen to a book as an audiobook — its chapters narrated as TTS audio, in order, with clickable stream links. "Read this book aloud", "play the audiobook", "I want to listen to a book". Resolve the bookId via browse_books or list_books first. Many catalog books are narrate
list_tracksShow / list / browse the user's songs — "what songs do I have?", "show me my music", "my tracks", "my library", "my playlist of songs". Returns the user's private music tracks. Each item includes its `title`, `themes` (canonical topic tags the track was generated around, e.g. ["t
play_trackPlay / listen to / put on ONE specific song the user already has — returns a fresh, clickable stream link for that track by its id. The user normally refers to a track by NAME, not id: when the requested title is approximate, partial, or possibly misspelled, FIRST call list_track
get_generation_statusCheck on a song/track/music that is still being generated — "is my song ready?", "how is it coming along?". Takes the requestId returned by generate_track. Returns progress while generating, a play link when complete, or the failure reason. When complete, you can also call play_t
generate_trackCreate / make / write / generate a SONG, a TRACK, or a piece of MUSIC for the user from a topic (e.g. "a calm morning walk", "write me a song about my mom", "make me some music about the sea"). This is THE tool for any "create/make/write a song|track|music" request. Provide EITHE
get_trackRead the lyrics, source entry ID and context of a saved song. Use a real trackId from list_tracks or generation. Does not start playback.
get_usageRead available account allowances and reset time before planning creation. This is advisory; the server still reserves usage atomically. Unavailable counters are identified explicitly; do not assume their remaining allowance.
save_entryFor clients without a journal panel: save the exact reflection the user has reviewed and explicitly confirmed. Never set confirmed from silence or inferred intent. Use compose_entry to prepare a draft; show it to the user, then save only after confirmation. Reuse operationId for
submit_track_feedbackRecord only explicit user feedback on a saved song: understood, partial or missed. Never infer recognition or helpfulness from playback. Replaces the user's previous feedback for this song. Resolve trackId first.
correct_insightRecord the user's explicit correction to a specific inferred dimension/value they have seen in aiponge. Do not invent a dimension or value, and do not treat this as a diagnosis. Use only when the user confirms the correction. The backend validates the canonical dimension and reac
list_generationsFind the account's active song generation requests after reconnecting or losing a requestId. Inspect them before retrying generation. Completed songs can be found with list_tracks.
get_entryOpen / read the full text of ONE specific journal entry by its id. Resolve the id via list_entries or search_entries first; never invent an entry id.
compose_entryTHE DEFAULT WAY TO SAVE A REFLECTION OR JOURNAL ENTRY. Use this — NOT create_entry — for any request like "save this as a journal entry", "journal this", "add a journal entry", "save my reflection", "put this in my diary", "write this down". It opens an in-chat journal composer P
search_entriesSearch the user-owned journal by words in any supported language, tag, personal date, or import source. Returns matching entry IDs and short excerpts. Use get_entry for full text. Follow nextCursor with identical filters until hasMore is false before claiming there are no older m
create_entryPersist a journal entry DIRECTLY to the journal, with NO review step. This is the silent/import-only path — for an ordinary chat request like "save this as a journal entry" / "journal this" / "add a journal entry", do NOT use this; use `compose_entry`, which opens an editable com
get_insightsSurface what aiponge has NOTICED about the user: the observations, recurring patterns, and wellness signal drawn from their self-model, inferred from their reflections. Read-only. Use it when the user asks "what has aiponge learned about me?", "what patterns do you see in me?", "

Recent checks

2026-11-13 11:01:00live · HTTP 200154ms
2026-11-13 04:31:02live · HTTP 200167ms
2026-11-12 22:15:53live · HTTP 200249ms
2026-11-12 16:00:44live · HTTP 200401ms
2026-11-12 09:31:00live · HTTP 200177ms
2026-11-12 03:15:59live · HTTP 200167ms
2026-11-11 21:00:55live · HTTP 200122ms
2026-11-11 14:45:58live · HTTP 200250ms
2026-11-11 08:31:12live · HTTP 200236ms
2026-11-11 02:30:47live · HTTP 200126ms
2026-11-10 20:15:58live · HTTP 200268ms
2026-11-10 14:15:47live · HTTP 200138ms

Link

https://mcp.aiponge.com/mcp

Questions about aiponge in Muse

How do I connect aiponge to Muse?

Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use aiponge to help me. It is a free service with an MCP server at https://mcp.aiponge.com/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Is aiponge working right now?

At the last check (November 13, 2026, 11:01 UTC) the endpoint was working, answering in 154ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.

Is aiponge safe to connect to Muse?

It was screened on September 24, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.

What can aiponge do in Muse?

It exposes 23 tools, including get_capabilities, get_profile, list_audio_preference_profiles, update_audio_preferences. For example, you could ask Muse: "Turn my journal entry about my trip to Berlin into a song with jazz and female vocals."

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