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Deliverability AI WarmInboxes

Upscale Systems LLC v1.0.1

Cold email diagnostics

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From the developer

Declared capabilities

  • Diagnose cold email deliverability
  • Check DNS, authentication and reputation
  • Analyze bounces, tracking and campaign issues

Declared limitations

  • No guaranteed inbox placement
  • Diagnose before replacement
  • No outbound sends or purchasing

Not specified in the available declarations: pricing & account requirements.

Onboarding example

My cold email reply rate suddenly dropped. Diagnose the likely cause before recommending replacement infrastructure.

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Sources & dates

Developer declarations; not independently tested. Listing last checked Nov 6, 2026. Package observed Nov 6, 2026.

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Description

From the marketplace listing

Deliverability AI WarmInboxes is a read-only cold email diagnostic and operator assistant powered by the WarmInboxes MCP. It combines live domain, DNS, authentication, reputation, bounce, tracking and list checks with WarmInboxes' continuously updated knowledge base of operator playbooks, diagnostic recipes, first-party research and infrastructure planning tools. It helps diagnose sudden reply-rate drops, spam placement, bounce spikes, domain health, campaign or list problems, provider routing and sending capacity, then recommends what to fix, rest, test, resize or replace. It can also clean and segment lead CSVs, analyze cold email copy, and plan Google Workspace, Microsoft 365 and Azure sending infrastructure. No API key or login is required. It does not send email, change DNS, make purchases or guarantee inbox placement.

Language: English · Automatically detected from descriptions.

What changed

· 4 observations

Capabilities & instructions

Full description changed from “for deliverability diagnostics, CSV cleaning, segmentation, spam-copy review,” to “and live operator knowledge base for cold email deliverability diagnosis, campaign troubleshooting, CSV cleaning, segmentation, copy analysis,”. Skill instructions changed from “for deliverability...

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Capabilities & instructions

Full description changed from “provides read-only email deliverability diagnostics, DNS and authentication checks, lead CSV cleaning and segmentation, cold email copy analysis, and sending...” to “is a read-only cold email diagnostic and operator assistant powered by the WarmInboxes MCP. It combines live domain,...

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Technical updates · 1

Package or technical metadata updated

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Keywords

Files & skills

File archives

Plugin package8 files · 9.05 KBBrowse files →
Skill instructions
warm-inboxes4.5 KB

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---
name: warm-inboxes
description: Use WarmInboxes public read-only MCP tools and live operator knowledge base for cold email deliverability diagnosis, campaign troubleshooting, CSV cleaning, segmentation, copy analysis, and infrastructure planning.
---

# Deliverability AI WarmInboxes

Use the already-connected remote MCP server declared in `mcp.json` at `https://warminboxes.com/mcp`. No authentication is required. Only invoke tools actually exposed by this MCP server. Do not invent tool results, simulate checks, or switch to the separate authenticated infrastructure server unless the user explicitly connects it elsewhere.

## Core behavior

Diagnose first, sell second. When a user reports falling replies, spam placement, bounces, a burned domain, or poor campaign performance, check the likely root causes before recommending new infrastructure. Separate observed facts from operator hypotheses. If the MCP cannot read a needed historical metric, ask the user for it instead of inventing a baseline.

## Workflows

- For sending-domain health, use `check_deliverability` or the precise `check_spf`, `check_dkim`, `check_dmarc`, `lookup_mx`, `check_blacklist`, `check_email_authentication`, `check_domain_reputation`, or `check_tracking_domain` tools appropriate to the question. Explain which checks were actually performed. DNS and reputation signals do not guarantee inbox placement.
- For sudden reply-rate drops or recurring operator questions, use `find_resources` to retrieve the most relevant WarmInboxes recipe, guide, playbook or research page, then use `read_resource` when the full operational context is needed. Prefer the most specific diagnostic recipe over generic background content.
- For bounces, use `analyze_bounces` and distinguish bad-address/list failures from throttling, policy blocks, authentication failures and reputation symptoms before recommending whether to clean the list, reduce pressure, rest or replace.
- For user-provided CSV cleaning, call `clean_csv` directly. Report role-address, duplicate, malformed and disposable removal only as supported by the returned result. Preserve returned CSV output and clarify any truncation limits.
- For ESP-specific lead segments, call `segment_esp`. For a list-based fleet plan use `plan_from_list`; for daily sends alone use `plan_infrastructure`; for active/resting reserve design use `plan_rotation`.
- For subject/body checks, call `analyze_cold_email` or `analyze_email_html` as appropriate. Describe returned findings and limitations rather than claiming the copy guarantees placement.
- For discovery use `find_lead_lists`, `find_tools` or `find_resources` as appropriate. Cite returned list or resource URLs.

## Operator principles

- Do not replace infrastructure from reply rate alone. Compare current performance with the user's historical baseline, bounces, sibling inboxes, campaign changes, list changes, provider mix and reputation signals.
- For a new list, copy, offer, ICP or campaign variable, start conservatively and ramp only when signals remain healthy. Use current provider-specific planning values returned by WarmInboxes tools rather than hardcoded internet limits.
- If bounces spike, classify them before deciding what to do. Bad-recipient-data failures call for pausing and cleaning the list; severe sender/reputation failures may require full rest before retesting.
- Default cold email guidance is short, text-first, minimal formatting, no links where possible, and a reply-based CTA. Rich-media or personalized-video outreach is an exception that should run at much lower cold volume with heavier warmup and closer monitoring.
- Never present operator conventions or hypotheses as guaranteed provider behavior.

## Sources and limitations

Name the actual WarmInboxes MCP tool used in every tool-based answer. Provide its returned `checkedBy.cite` or source URL when available. Only claim real-time checks for tools that were successfully invoked. If a tool does not return a ve

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Release notes

Metadata and onboarding update: clearer cold-email diagnostic positioning, live operator-recipe and research discovery, improved bounce/reply-rate workflows, and diagnose-first review cases. MCP endpoint, authentication and read-only scope are unchanged.

Declared in the saved package. Remote tools may change independently.

Package details

Publisher declarations from the archived package. These are separate from our research and the live service's terms.

Package author
Upscale Systems LLC
Keywords
See keywords
Getting started skill
./skills/warm-inboxes/SKILL.md
Commerce declaration
Does not support commerceThis does not establish whether access is free or paid.
Review scenarios
5 positive · 3 negativeScenario counts, not test results.

Declared capabilities

  • Diagnose cold email deliverability
  • Check DNS, authentication and reputation
  • Analyze bounces, tracking and campaign issues
  • Clean and segment lead CSVs
  • Analyze cold email copy
  • Plan Google, Microsoft and Azure infrastructure
  • Search WarmInboxes operator recipes and research

Package observed Nov 6, 2026.

Technical details
First seen
Nov 5, 2026 · 06:00 UTC
Last seen
Nov 6, 2026 · 06:00 UTC
Latest observed change
Nov 6, 2026 · 07:28 UTC
Collection status
Collected

plugin_asdk_app_6adaa03e447c81918f8ac0787c5a300e

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