Deterministic pre-send lint for SMS/iMessage: silent carrier filtering and segment blowups.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
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π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Your AI agent sends texts. Carriers silently drop the non-compliant ones, and the API never tells you. willitsend is the missing check between the model and the carrier: a deterministic preflight for outbound SMS/iMessage that catches silent filtering, segment blowups, and dropped iMessage features before you spend the send.
Try it in the browser: runs client-side, nothing leaves the page.
Messaging APIs report "sent" when a message reaches the downstream carrier, not when it reaches a phone. AgentPhone's rate-limit docs spell out the consequence: first messages that skip brand identification, opt-in acknowledgment, or opt-out instructions "may be silently filtered by carriers. The API will not return an error."
AI agents now send texts autonomously, and nothing sits between the model and the carrier. An agent that drops the opt-out line gets no error and no delivery. An agent that adds one emoji turns a 160-character message into three billable segments and never notices.
willitsend is the missing check: a deterministic, stateless lint for a draft message. Text and context in, verdict and evidence out. It sends nothing and stores nothing.
A fair question: AgentPhone's docs are agent-readable, so you could feed them into every generation call and ask the model to comply. Two things break, and one gets expensive:
| Approach | Tokens per message | 10,000 msgs/day at $3/M input |
|---|---|---|
| Feed both AgentPhone doc pages into each generation call | ~7,700 | |
preflight_message call result (default) | ~250 (+ ~1,450 once per session for the tool definition) | ~$7.50/day |
preflight_message with response_format: "concise" | ~4 on pass, ~44 on block (measured) | ~$0.35/day at a 90% pass rate |
Roughly 30Γ fewer tokens per message in default mode β several hundredΓ in concise mode β and the checker's own compute rounds to zero (~4Β΅s locally, no API). If you compress the rules into your system prompt instead β our skill file does, at ~950 tokens β you keep the compose-time benefit but still have no verifier and no segment math. Bulk senders feel this most: the tool exists precisely for AI agents sending texts at volume.
As an MCP tool (Claude Code):
or in any MCP client config:
For AI agents β paste this block into your agent (or point it at this README):
No API key required. Set AGENTPHONE_API_KEY if you want a live iMessage/SMS capabilities lookup for phone-number destinations; without it the tool runs offline. The config above installs straight from this repo (a prepare script builds on install) β nothing to sign up for. willitsend also publishes to npm and the MCP Registry under the server name io.github.abryfs/willitsend; once a release is cut, registry-aware clients can add it by name and npx -y willitsend starts the server directly. See docs/publishing.md for the release runbook.
As a library (npm install github:abryfs/willitsend):
As a CLI: npx -y -p github:abryfs/willitsend willitsend-cli --help (or npx -y -p willitsend willitsend-cli once installed from npm). Exit codes: 0 pass/warn, 1 block, 2 needs context, 3 usage error. It drops into CI or a shell pipeline as-is.
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