MCP server

aiponge Official

app.aiponge/mcp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

private by default journaling, self-understanding, reflective songs, books, playlists, insights.

Website Source

At a glance

Type

MCP server

Publisher

aiponge.app (verified by the MCP Registry)

Status

Working at last check

Tools

23

Token cost

About 8,048 tokens per request

Sets up in

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

Last checked

26 Oct 2026, 08:29 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 aiponge https://mcp.aiponge.com/mcp

Claude Desktop

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

Codex (config.toml)

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

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

agy mcp add aiponge https://mcp.aiponge.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":"aiponge","server_url":"https://mcp.aiponge.com/mcp","require_approval":"always"}

Grok (xAI API tools)

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

Tools

• browse_books Browses the web · ~306 tokens
  Browse / 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 all languages by defa
• compose_entry ~365 tokens
  THE 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 PRE-FILLED with a dra
• correct_insight ~289 tokens
  Record 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 reaction.
• create_entry ~893 tokens
  Persist 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 composer the user confi
• generate_track ~1891 tokens
  Create / 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 EITHER a `topic` OR an `e
• get_capabilities ~210 tokens
  Return 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 such as restaurants,
• get_entry ~122 tokens
  Open / 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.
• get_generation_status ~219 tokens
  Check 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_track with the return
• get_insights ~209 tokens
  Surface 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?", "what are my themes?"
• get_profile ~200 tokens
  Show 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 preference fields m
• get_track ~149 tokens
  Read 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_usage ~104 tokens
  Read 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.
• list_audio_preference_profiles ~98 tokens
  List 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.
• list_books ~164 tokens
  Show / 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.
• list_generations ~93 tokens
  Find 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.
• list_tracks ~447 tokens
  Show / 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. ["travel", "solitude"])
• play_audiobook ~264 tokens
  Play / 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 narrated; if a book isn't,
• play_track ~232 tokens
  Play / 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_tracks (request the full
• read_book ~268 tokens
  Read / 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 for a bounded chapte
• save_entry ~290 tokens
  For 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 retries of the same
• search_entries ~435 tokens
  Search 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 matches. total counts
• submit_track_feedback ~239 tokens
  Record 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.
• update_audio_preferences ~561 tokens
  Change / 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; omitted fields are pr

Browse

• Text to speech
• Music and audio
• Travel and flights

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