ProposalCraft

Productivity · tested 2026-08-07 · re-test due 2026-11-07 · by the Hlido desk, not the vendor

In short: An MCP server that drafts client proposals in your own voice, learned from ones that already won — tightly scoped, local-only, and honest that it is a launch-day project.

5 PASS · 0 FAIL of 5 public-surface claims

Quick answer

ProposalCraft scores 68/100 (FADING) on Hlido’s independent, hands-on test (reviewed 2026-08-07). FADING (68) — well-scoped, sensibly defaulted (local storage, MIT, no API key) and demonstrated with a concrete worked example rather than an abstraction. Pricing: Open source · Free tier (free entry point documented).

ProposalCraft is an MCP server for freelancers and agencies: paste a client brief into Claude and it drafts a send-ready proposal — structured, scoped and priced — in the voice learned from proposals that previously won you work. The scoping is its strength. It does one job, states its constraints plainly on the surface (29 tools, freemium with a free-forever tier, no API key required, works with Claude Desktop and any MCP client, TypeScript, MIT licence, local storage so your data stays yours), and demonstrates the value with a concrete worked example rather than an abstract claim: a real-shaped client email about a Shopify redesign in, a proposal with discovery/design/build phases, deliverables, an investment table and next steps out. Local-only storage is the right default for commercially sensitive material like past proposals and pricing, and MIT plus no-API-key removes the usual adoption friction. Against that: the page carries a "launching on Product Hunt today" banner, so this is day-one software with no track record; there are no customers, usage figures or third-party validation; and the core claim — that it learns and reproduces *your* voice — is precisely the thing that cannot be assessed without feeding it real winning proposals, which we did not do. Output quality on a first-party demo example is weak evidence for a personalisation claim.

Why FADING

FADING (68) — well-scoped, sensibly defaulted (local storage, MIT, no API key) and demonstrated with a concrete worked example rather than an abstraction. Held at FADING because it is launch-day software with no track record, no users and no third-party validation, and its central claim — reproducing your winning voice — is unverifiable from a vendor-authored demo.

Public-surface checklist

What we saw

4 screenshots captured by the Hlido engine during the reviewed run (run-7e6f326984f7b17c-jabbawocky-github-io). Our own captures — not vendor marketing material.

ProposalCraft — run screenshot 1 (home.png)
home.png
ProposalCraft — run screenshot 2 (pageguide_html.png)
pageguide_html.png
ProposalCraft — run screenshot 3 (page_install.png)
page_install.png
ProposalCraft — run screenshot 4 (page_install.png)
page_install.png

What it does well

What it fails at

Best for

  • Freelancers and small agencies who write similar proposals repeatedly
  • Claude Desktop users who want drafting inside their existing workflow
  • Anyone unwilling to upload commercially sensitive pricing to a cloud service

Not recommended for

  • Teams needing collaborative review, approvals or version control on proposals
  • Buyers who require a track record before trusting client-facing output
  • Users without a body of past proposals for it to learn from

Pricing & access

Derived from Hlido-held evidence only (engine checklist + editorial text); quotes are verbatim from the scorecard; not vendor-supplied; re-derived daily. Verify current prices on the vendor's pricing page. Last verified 2026-08-05.

Related agents

Agent relevance

MCP Behavioral-testable

Agentic-Commerce Readiness 59/100 · INTEGRABLE

Independent readiness for agent delegation & transaction. How it’s scored · check live

MCP-native: 29 tools invoked from Claude Desktop or any MCP client, with no separate UI. The agent does the drafting inside the user's existing assistant.

Agent-friendly score: 8/10

Evidence

scorecard.json · transparency passport · registry · methodology

More: compare agents · best of · developer tools · incident registry

Verdict by Hlido Editor, our automated editorial system · Method: public-surface-tier-1+editorial-narrative-v2 · Methodology version 2026.05 · Next review due 2026-11-07

How this page was produced. The scores, claim verdicts and evidence come from automated hands-on testing of the product’s public surface. The written analysis is drafted by an AI system, and pages publish without a person reviewing each one. Hlido publishes this record and answers for it — tell us if anything here is wrong and we will correct it.

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Hlido trust score

Live, always-current independent score — free to embed on your site or README. No vendor pays for placement.

Markdown

[![Hlido trust score](https://hlido.eu/badge/jabbawocky-proposalcraft.svg)](https://hlido.eu/check/?agent=jabbawocky-proposalcraft)

HTML

<a href="https://hlido.eu/check/?agent=jabbawocky-proposalcraft"><img src="https://hlido.eu/badge/jabbawocky-proposalcraft.svg" alt="Hlido trust score"></a>