# ShapelessAI
[ShapelessAI](https://shapelessai.com) runs your social presence: it drafts, schedules, and
publishes content across your connected platforms, holds your Brand Memory, and keeps standing
agents working while you sleep.
This repo is the public home of the **agent surface**: the `shapeless` CLI, the MCP server, the
Claude Code plugin, and the issue tracker. Your agent or script drives a ShapelessAI account: write
and schedule posts, create jobs and resume stuck ones, approve and publish, edit Brand Memory,
manage the standing agents.
**The documentation lives at [shapelessai.com/docs](https://shapelessai.com/docs)** - routes,
scopes, platform limits, refusal codes, one page per subject. Every page also answers raw
Markdown: append `.md` to its path (`https://shapelessai.com/docs/posts.md`) or send
`Accept: text/markdown`. An agent that wants all of it in one fetch should read
[shapelessai.com/llms-full.txt](https://shapelessai.com/llms-full.txt).
## Install
```bash
npx shapelessai --help # one-off
npm i -g shapelessai # keeps `shapeless` on your PATH
```
Node 20 or newer.
## Authenticate
Mint a key in the studio: **Settings -> API keys** (`/studio/api-keys`). Give it
only the scopes the caller needs - `read`, `write`, or `publish`. Only `publish`
can put content out.
```bash
shapeless login # paste the key; we verify it and store it 0600
export SHAPELESS_API_KEY=slk_... # or: env var, beats the stored key
```
Config lives in `~/.config/shapeless/config.json`. `SHAPELESS_BASE_URL`
overrides the API host (default `https://shapelessai.com`). `shapeless logout`
forgets the local copy; revoke the key itself in the studio.
Every command takes `--json` to print the raw API response, and `--help`.
## Post
Write it yourself and put it on the rail - now, at a time, or in the account's next free queue
slot. Needs the `publish` scope.
```bash
shapeless connections # the accounts and their ids
shapeless platforms # limits, media rules, settings schema (no key needed)
shapeless posts create --to <connectionId> --text "Shipping day." # now
shapeless posts create --to <connectionId> --text "..." --at 2026-09-21T09:00:00+03:00 # at a time
shapeless posts create --to <connectionId> --text "..." --queue # next free slot
shapeless posts create --to <connectionId> --text "..." --media k1,k2 \
--first-comment "Link: https://..." # LinkedIn, X, Bluesky
shapeless posts create --to <youtubeConnectionId> --text "..." --media <clip.mp4 key> \
--title "The video title" --settings '{"privacyStatus":"unlisted"}'
```
The MCP tool is `posts_create` with the same arguments: `connectionId`, `text`, `mediaKeys`,
`title`, `scheduledAt` **or** `queue: true`, `settings`, `firstComment`. Read `platforms_list`
first for the platform's limits and its `settingsSchema`.
**Free plan**: ten posts a day on the rail, counted on the UTC day each post goes out on, so a
week planned ahead is ten a day rather than ten in total. The eleventh answers
`402 {code: "free_daily_cap", limit, day, resetsAt}`, which names the day that is full. Composing,
scheduling and publishing never spend credits, and Free also carries $5 of credits a month for the
agent team. Paid plans have no cap. Details:
[shapelessai.com/docs/posts](https://shapelessai.com/docs/posts).
## Jobs: durable runs
A job is a run the server keeps going whether or not you stay connected - the
right shape for agents and cron.
```bash
# Fire and forget
shapeless jobs create draft three posts about our beta launch
# Watch it live (tails the event stream, falls back to polling)
shapeless jobs create plan this week --label "Weekly plan" --budget 2.50 --watch
# Come back later
shapeless jobs list # 200 newest; prints a cursor if older jobs exist
shapeless jobs list --before <cursor> # the next page back
shapeless jobs show <id> # transcript summary + outputs
shapeless jobs tail <id> # re-attach to the live stream
# Put files on the message - the agent sees the image, not just its name
shapeless jobs create does this thumbnail work? --attach ./thumb.png --attach ./notes.md
shapeless jobs continue <id> and this one --media-key workspace-assets/<account>/logo.png
# Resume a stuck or failed run - history is rebuilt server-side
shapeless jobs continue <id> keep going, but make the second post shorter --watch
shapeless jobs stop <id>
```
## Posts: the queue
```bash
shapeless posts list --status proposed
shapeless posts show <id>
shapeless posts approve <id> <id> <id> # proposed -> scheduled [publish]
shapeless posts dismiss <id>
shapeless posts publish <id> # out, now [publish]
shapeless posts mark-posted <id> --url https://...
```
## Agents, Brand Memory, assets
```bash
shapeless agents list
shapeless agents create --name "Daily reach" --prompt "..." --days mon,thu --hours 9
shapeless agents edit <id> --status paused # or: shapeless agents pause <id>
shapeless agents wake <id> # run it now [publish]
shapeless brain ls
shapeless brain get positioning.md
shapeless brain put voice.md --file ./voice.md # or pipe on stdin
shapeless brain import ./pitch-deck.pdf
shapeless brain export --out brain.zip
shapeless assets list
shapeless assets upload ./logo.png
shapeless connections
```
## MCP server
The hosted server is **`https://shapelessai.com/mcp`**. Add that URL to any host that speaks
remote MCP - Claude (Settings -> Connectors -> Add custom connector), ChatGPT (Developer mode),
Claude Code, Cursor, Codex, VS Code, Gemini CLI - and it opens a ShapelessAI tab to sign in and
allow. OAuth, no key. The steps for each host, in the vendor's words, are at
[shapelessai.com/connect](https://shapelessai.com/connect).
A client that cannot open a browser (the Agent SDK, a CI job, a self-hosted agent) skips OAuth: send
an API key from **Settings -> API keys** as `Authorization: Bearer slk_...` to the same URL. Any MCP
client that sets a header works; the scope is the key's.
```bash
curl -s https://shapelessai.com/mcp -H "Authorization: Bearer $SHAPELESS_API_KEY" \
-H 'Content-Type: application/json' -H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'
```
```bash
claude mcp add --transport http --scope user shapeless https://shapelessai.com/mcp # then /mcp -> Authenticate
codex mcp add shapeless --url https://shapelessai.com/mcp && codex mcp login shapeless
gemini mcp add --transport http shapeless https://shapelessai.com/mcp
```
The same tools (`posts_create`, `jobs_create`, `posts_approve`, `brain_write`, ...) also run locally:
`shapeless mcp` speaks MCP on stdio with the API key from `shapeless login`, and adds the tools
that read your disk (`assets_upload`, `brain_import`, and `files` on a job message). Every tool
carries a title and annotations - read-only tools run freely, anything that publishes, spends or
overwrites is flagged destructive so a host asks you first - and each description names the scope
it needs.
Beyond the account tools, every tool our own studio agent holds is its own MCP tool too, 32 of
them: `generate_image`, `generate_footage`, `edit_footage`, `render_carousel`, `speak`,
`caption_file`, `web_search`, `x_pulse` and the rest. Each answers the files it made as media keys
you can publish with `posts_create`. The table with what each one costs is at
[shapelessai.com/docs/mcp](https://shapelessai.com/docs/mcp#studio-tools); `tools_list` reads it
live.
A job is a conversation, so work passes both ways between your terminal and the
web app:
- Every job result carries a **`url`** - `https://shapelessai.com/studio/c/<id>` -
so an agent can hand the human back a link to what it just did.
- **`jobs_brief <id>`** is the cheap read before replying: the last 30 messages
clipped, reasoning and tool-activity dropped, an artifact inventory and post
counts per queue status. Deterministic, no model in the loop. `jobs_get` still
gives the full transcript.
- **`jobs_list`** answers 200 jobs at a time, newest first, with a `nextCursor`;
pass it back as `before` to walk further into the history.
- **`jobs_tail <id>`** watches a job's run (60 seconds max, 200 events) and
returns the events plus a cursor to resume from; a job with no run stream to
attach to answers `{live: false}` instead of erroring.
- **`jobs_create` and `jobs_continue` take files**: `files` (absolute local
paths - `.md`/`.txt` ride inline, images, video, audio and PDF are uploaded
here) and `mediaKeys` (anything already in the account, e.g. what
`assets_upload` returned). Up to 6 per message. They land on the message the
human sees in the studio, and the agent reads them for real - an image's
pixels are inlined for that turn, not just its filename.
There is one prompt, **`continue`** (argument: `id`), which Claude Code surfaces
as a slash command: it loads that conversation's brief and tells the agent to
reply into the same thread with `jobs_continue`.
Running the stdio server instead of the hosted one - Claude Code:
```bash
claude mcp add shapeless -e SHAPELESS_API_KEY=slk_... -- npx shapelessai mcp
```
Claude Desktop (`claude_desktop_config.json`), and other stdio-only hosts:
```json
{
"mcpServers": {
"shapeless": {
"command": "npx",
"args": ["shapelessai", "mcp"],
"env": { "SHAPELESS_API_KEY": "slk_..." }
}
}
}
```
Without the env var the server uses the key stored by `shapeless login`.
## Agent Plugins (Cursor, Kiro, Copilot, Codex) and Gemini CLI
`plugins/shapeless` is also an [Agent Plugins 1.0](https://agent-plugins.org) package (`plugin.json`,
`mcp.json`, `skills/`), so any client that loads that format installs the hosted MCP server and the
skill from this repo. Gemini CLI reads `gemini-extension.json` at the root:
```
gemini extensions install https://github.com/FirstClassTree/shapelessai
```
## Claude Code plugin
This repo is also a plugin marketplace. The `shapeless` plugin wires up the hosted MCP server and
ships a skill that teaches Claude the ropes - scopes, the post queue, when to touch Brand Memory:
```
/plugin marketplace add FirstClassTree/shapelessai
/plugin install shapeless@shapeless
```
Then run `/mcp`, pick shapeless and choose Authenticate - a browser tab signs you in once.
## Where else ShapelessAI is listed
The same server and skill, installable from the registry your client already reads:
- MCP: [Official MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.shapelessai%2Fshapeless/versions/latest) (`com.shapelessai/shapeless`),
[Smithery](https://smithery.ai/servers/shapelessai/shapeless),
[Glama](https://glama.ai/mcp/connectors/com.shapelessai/shapeless),
[LobeHub](https://lobehub.com/mcp/firstclasstree-shapelessai)
- Plugins and skills: [cursor.directory](https://cursor.directory/plugins/shapeless),
[ClawHub](https://clawhub.ai/firstclasstree/skills/shapeless),
[skills.sh](https://www.skills.sh/firstclasstree/shapelessai/shapelessai)
- Product directories: [Twelve Tools](https://twelve.tools/shapelessai),
[Product Watch](https://productwatch.io/products/shapelessai),
[Lifto](https://liftoapp.com/product/shapelessai)
## The API
Everything above rides one documented contract:
[shapelessai.com/docs/api](https://shapelessai.com/docs/api) - every route, the scope each needs,
rate limits, and what deliberately refuses an API key. Machine-readable at
[/api/openapi.json](https://shapelessai.com/api/openapi.json).
| Page | What it answers |
| --- | --- |
| [/docs](https://shapelessai.com/docs) | Start here: key, MCP URL, CLI, the three moves |
| [/docs/posts](https://shapelessai.com/docs/posts) | Create, schedule, queue, media, first comment, every refusal |
| [/docs/platforms](https://shapelessai.com/docs/platforms) | Limits and rules per platform, live from `GET /api/platforms` |
| [/docs/api](https://shapelessai.com/docs/api) | Every route a key opens, and the scope it needs |
| [/docs/cli](https://shapelessai.com/docs/cli) | The `shapeless` command |
| [/docs/mcp](https://shapelessai.com/docs/mcp) | The hosted MCP server and its tools |
| [/docs/jobs](https://shapelessai.com/docs/jobs) | Durable runs |
| [/docs/brand-memory](https://shapelessai.com/docs/brand-memory) | The account's durable knowledge |
| [/docs/auth](https://shapelessai.com/docs/auth) | Keys, scopes, OAuth, rate limits |
## Support and privacy
- Support: [hello@shapelessai.com](mailto:hello@shapelessai.com), or [open an issue](https://github.com/firstclasstree/shapelessai/blob/HEAD/../../issues).
The CLI is developed against the contract above; this repo is where it ships.
- Privacy policy: [shapelessai.com/privacy](https://shapelessai.com/privacy)
- Terms: [shapelessai.com/terms](https://shapelessai.com/terms)
