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PopNx MCPMCP servers for people who use AI · explained in plain words

Willitsend

by abryfsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.abryfs/willitsend

Install

Overview

Description from the maker (original English)

Deterministic pre-send lint for SMS/iMessage: silent carrier filtering and segment blowups.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Chat & email
  • You need to fill in: AGENTPHONE_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: AGENTPHONE_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "willitsend": {
      "command": "npx",
      "args": [
        "-y",
        "willitsend"
      ],
      "env": {
        "AGENTPHONE_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add willitsend --env AGENTPHONE_API_KEY=your-value -- npx -y willitsend

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "willitsend": {
      "command": "npx",
      "args": [
        "-y",
        "willitsend"
      ],
      "env": {
        "AGENTPHONE_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "willitsend": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "willitsend"
      ],
      "env": {
        "AGENTPHONE_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • AGENTPHONE_API_KEY secret env
    Optional API key for live carrier/capabilities lookup. The linter runs fully offline without it.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account abryfs, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Chat & emaili

  • More stars than 0% of the other 1766 servers in this category
  • Published to the registry more recently than 17% of the other 1766 servers in this category
  • Basic checks equal to or better than 100% of the other 1766 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Willitsend safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: AGENTPHONE_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Vexa, emailmd, MCP WhatsApp Cloud

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

willitsend

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](https://abryfs.github.io/willitsend/): runs client-side, nothing leaves the page.

npx -y -p github:abryfs/willitsend willitsend-cli "Hey! Your appointment is tomorrow at 2pm." --first-message
Verdict: BLOCK

Segments: 1 (gsm7, 41 septets) Channel: unknown [BLOCK] first-message.opt-out: First message doesn't include opt-out instructions (e.g. "Reply STOP to unsubscribe"). Carriers may silently filter first messages that lack one, with no API error. Fix: Append "Reply STOP to unsubscribe." to the message body. Source: https://docs.agentphone.ai/documentation/reference/messaging-rate-limits#first-message-requirements [WARN] first-message.opt-in: No opt-in acknowledgment language found … [INFO] first-message.brand: No brand_name was provided …

The problem

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.

sequenceDiagram

participant A as AI agent participant W as willitsend participant API as Messaging API participant C as Carrier participant P as Phone

rect rgba(255,69,58,0.08) note over A,P: without preflight A->>API: send_message (no opt-out language) API-->>A: "sent" ✓ C--xP: silently filtered. no error, no delivery end

rect rgba(52,199,89,0.08) note over A,P: with preflight A->>W: preflight_message(draft, context) W-->>A: BLOCK · missing opt-out · fix + citation A->>W: preflight_message(fixed draft) W-->>A: PASS A->>API: send_message API-->>A: "sent" ✓ C->>P: delivered end

Why not just prompt the rules into your agent?

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:

  1. Generation is probabilistic; verification is deterministic. A model with the rules in context complies *usually*. This checker returns the same verdict every time, and its failure mode is a visible finding rather than a silently filtered message. Compose-time guidance and pre-send verification are complements — this repo ships both (the agent skill is the compose-time half).
  2. Models can't do segment math. Septet counting, GSM-7 extension characters, encoding flips from one smart quote, placement-aware packing — token-based models are structurally bad at exactly this arithmetic. No amount of prompting fixes it; a 300-line deterministic function does.
  3. The token math, measured (char-count/4 heuristic on the actual pages, July 2026):
ApproachTokens per message10,000 msgs/day at $3/M input
Feed both AgentPhone doc pages into each generation call~7,700~$231/day (~$23/day with 90% prompt caching)
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 30× fewer tokens per message in default mode — several hundred× in concise mode — and the checker's own compute rounds to zero (~4µs locally, no API). If you compress the rules into your system prompt instead — our skill file does, at ~950 tokens — 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.

Quickstart

As an MCP tool (Claude Code):

claude mcp add willitsend -- npx -y -p github:abryfs/willitsend willitsend-mcp

or in any MCP client config:

{

"mcpServers": { "willitsend": { "command": "npx", "args": ["-y", "-p", "github:abryfs/willitsend", "willitsend-mcp"] } } }

For AI agents — paste this block into your agent (or point it at this README):

Install the willitsend MCP server (pre-send SMS/iMessage lint, no API key needed):
  • Claude Code: run claude mcp add willitsend -- npx -y -p github:abryfs/willitsend willitsend-mcp
  • Any other MCP client: add {"command": "npx", "args": ["-y", "-p", "github:abryfs/willitsend", "willitsend-mcp"]} to its MCP server config.

Then, before every send_message (or equivalent) call, call preflight_message with the draft body, is_first_message_to_contact (true/false when known), and brand_name. Treat verdict "block" as do-not-send: apply the returned fix strings and re-run until pass. Treat "needs_context" as a signal to determine whether this is a first message (check conversation history), never as permission to send. For high-volume loops pass response_format: "concise" (~4 tokens on pass).

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) — 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):

import { preflight } from "willitsend";

const report = preflight({ body: "Acme: thanks for signing up. Your order shipped. Reply STOP to unsubscribe.", is_first_message_to_contact: true, brand_name: "Acme", });

report.verdict; // "pass" | "warn" | "block" | "needs_context" report.findings; // each with severity, fix, and a citation URL report.trace.segments; // { encoding, units, segments, perSegment, ... }

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.

What it checks

RuleSeveritySource
first-message.opt-out: first message to a contact must carry opt-out instructionsblockAgentPhone docs
first-message.brand: first message must identify the brand (checked only against a brand_name you provide, never guessed)blockAgentPhone docs
first-message.opt-in: first message should acknowledge how the contact opted inwarnAgentPhone docs
first-message.media-only: compliance text can't ride in an imagewarnAgentPhone docs
segments.unicode-blowup: one non-GSM character re-encodes the whole message as UCS-2warnAgentPhone docs
imessage.feature-fallback: send_style, threaded replies, and carousels drop without a trace on SMS fallbackwarnAgentPhone docs
imessage.invalid-send-style, imessage.carousel-count: invalid effect names, carousels outside the documented 2-20 rangeblockAgentPhone docs
imessage.new-contact-cap: iMessage caps new-contact sends at 50/day per lineinfoAgentPhone docs
destination.invalid, destination.voip: malformed destinations; known-VoIP lines (line type is never guessed from the number)block / warnsend API / AgentPhone docs
content.shaft: sex/alcohol/firearms/tobacco terms carriers filter (hate speech has no keyword rule: word lists can't detect it and we don't pretend)warnTwilio guidelines
content.url-shortener: shared public shorteners (bit.ly, tinyurl, …) conflict with CTIA dedicated-shortener guidancewarnCTIA MP&BP (PDF)
content.spam-patterns: ALL-CAPS runs, $$$, !!!infoheuristic

Rules come in two labeled tiers. Rules sourced from AgentPhone's own documentation can block. Industry-sourced rules warn at most, because a keyword heuristic has no business vetoing your send.

The verdict model

A finding that depends on context you didn't supply doesn't pretend to be certain. If you never say whether this is the first message to a contact, the opt-out rule reports conditionally and the verdict is needs_context. You get no fake pass and no fake block.

flowchart LR

F[findings] --> B{any block finding with known context?} B -- yes --> BLOCK B -- no --> C{any block finding waiting on context?} C -- yes --> NC[NEEDS_CONTEXT] C -- no --> W{any warning?} W -- yes --> WARN W -- no --> PASS

Every report also carries a send trace: destination classification, assumed channel (iMessage/SMS/MMS), full segment math (encoding, septet and code-unit counts, placement-aware per-segment packing), and, given a 10DLC campaign tier, what this message costs against published daily segment caps.

Benchmarks

Reproduce every number here from the repo; none of them require an account.

  • Segment-math parity: agrees with Twilio's reference segment calculator on encoding and segment count across a frozen 126-vector corpus: GSM-7/UCS-2 boundaries, extension characters, emoji, ZWJ sequences, and a deterministic fuzz sweep. The corpus and suite live in test/parity.test.ts; run npm test.
  • Latency: median ~4µs per message, ~100,000 messages/second on one thread (Node 22, Apple Silicon laptop; single-pass code-point tables, zero per-character allocation). Run npm run bench on yours. Preflighting ev

Only the beginning is shown; read the rest in the repo

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