ShapelessAI

ShapelessAI 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 - 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.

Install

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.

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.

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.

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.

# 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

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

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.

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.

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"}'

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; 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:

claude mcp add shapeless -e SHAPELESS_API_KEY=slk_... -- npx shapelessai mcp

Claude Desktop (claude_desktop_config.json), and other stdio-only hosts:

{
  "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 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 (com.shapelessai/shapeless), Smithery, Glama, LobeHub
• Plugins and skills: cursor.directory, ClawHub, skills.sh
• Product directories: Twelve Tools, Product Watch, Lifto

The API

Everything above rides one documented contract: 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.

Support and privacy

• Support: hello@shapelessai.com, or open an issue. The CLI is developed against the contract above; this repo is where it ships.
• Privacy policy: shapelessai.com/privacy
• Terms: shapelessai.com/terms