Toolfound MCP launch preparation tools: deterministic helpers for a launch

These helpers are deterministic: they take structured input and return a structured result, so the same input always gives the same output.

toolfound_directory_matcher(segment, cost, launchModel, dofollow)

Filter the dated launch-directory evidence by product fit, cost, format, and link policy.

toolfound_launch_readiness(name?, websiteUrl?, tagline?, description?, logoURL?)

Check whether an editable product draft has the fields needed for a complete directory submission.

toolfound_campaign_links(websiteUrl, source, medium, campaign, content?)

Create one deterministic UTM link while retaining unrelated query parameters and the page anchor.

toolfound_listing_copy(name, audience, problem, outcome, differentiator?)

Turn supplied product facts into deterministic, editable listing copy without inventing claims.

toolfound_share_preview(name, tagline)

Export a safe 1200×630 SVG preview from a bounded product name and tagline.

toolfound_newsletter_readiness(name?, websiteUrl?, newsAngle?, audience?, logoURL?)

Build an honest pitch checklist from the materials editors usually need before they can review a launch.

toolfound_distribution_plan(launchDate, channels)

Turn a launch date and up to eight chosen channels into a bounded preparation timetable.

toolfound_launch_review(visits, signups, conversions?)

Calculate transparent signup and conversion rates from the non-negative counts you provide.

toolfound_sponsorship_break_even(cost, revenue, margin, signupRate, customerRate)

Estimate the clicks, signups, and customers needed to recover a sponsorship cost from your own funnel assumptions.

toolfound_software_cost_comparison(seats, aName, aPrice, aBilling, aSetup?, aUsage?, bName, bPrice, bBilling, bSetup?, bUsage?)

Normalize two software prices to a first-year cost using seats, billing periods, setup fees, and expected usage charges.

toolfound_relaunch_decision(change, audienceChanged, listingCurrent, evidence, measurementReady)

Choose between a relaunch, a regular update, or more preparation from the size of the change and launch evidence you provide.

toolfound_feedback_interview_planner(goal, participants, minutes, stage)

Create a bounded interview plan and evidence log from a learning goal, participant count, and available time.

toolfound_json_to_csv(json)

Convert a small flat JSON export into a downloadable spreadsheet, with explicit limits and formula protection.

toolfound_csv_deduplicator(csv)

Clean repeated campaign or listing-export rows while retaining the first exact match and showing how many rows changed.

toolfound_campaign_url_cleaner(url, mode)

Normalize UTM naming or remove standard utm_* campaign parameters (utm_source, utm_medium, utm_campaign and similar) from a supplied URL without visiting its destination.

toolfound_color_contrast(foreground, background)

Calculate the WCAG text contrast ratio for two opaque hex colors before shipping a landing page or launch graphic.

Example: check colour contrast

Call toolfound_color_contrast with two opaque hex colours. The result states the ratio and which WCAG levels it passes.

curl -sS https://toolfound.com/api/mcp \
  -H 'content-type: application/json' \
  -H 'accept: application/json, text/event-stream' \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "toolfound_color_contrast",
      "arguments": { "foreground": "#777777", "background": "#ffffff" }
    }
  }'

{
  "ok": true,
  "summary": "The contrast ratio is 4.48:1.",
  "sections": [
    {
      "heading": "WCAG contrast checks",
      "items": [
        "AA normal text: Fail (4.5:1 required).",
        "AA large text: Pass (3:1 required).",
        "AAA normal text: Fail (7:1 required).",
        "AAA large text: Fail (4.5:1 required)."
      ]
    }
  ],
  "data": { "ratio": 4.478089453577214, "aaNormal": false, "aaLarge": true, "aaaNormal": false, "aaaLarge": false }
}