Spendict

Four MCP tools, one performance marketer's judgment — design targeting, audit a campaign build, gate an ad creative before spend, and diagnose a live campaign.

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What it can do

  • Assess Ad Creative: Get an expert performance-marketer's assessment of an ad creative before spending on it. Returns a launch recommendation (run/fix_first/kill), scores across hook, angle, clarity, a
  • Audit Campaign Structure: Get an expert performance-marketer's audit of a paid-ads CAMPAIGN STRUCTURE (Meta, Google, or TikTok) before budget flows through it — the structural layer, not the creative.
  • Analyze Campaign Performance: Get an expert performance-marketer's diagnosis of a RUNNING campaign's real metrics (Meta, Google, or TikTok). Judges every number against platform/objective/stage/vertic

What data it sees

Do you need an account

No: the server works without sign-in

Four MCP tools, one performance marketer's judgment — design targeting, audit a campaign build, gate an ad creative before spend, and diagnose a live campaign. Deterministic, server-verified verdicts your agent can act on.

How to connect

How to connect Spendict to Claude

The server address to paste into Claude settings:

https://spendict--spendict.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Spendict to ChatGPT

The server address to paste into ChatGPT settings:

https://spendict--spendict.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Spendict to Cursor

The server address to paste into Cursor settings:

https://spendict--spendict.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (4)

Raw names from tools/list. Only developers need these.

assess_ad_creativeGet an expert performance-marketer's assessment of an ad creative before spending on it. Returns a launch recommendation (run/fix_first/kill), scores across hook, angle, clarity, audience fit, platform fit, CTA and compliance safety, the single most likely reason it will underperform, specific prioritized fixes (blocking, on fix_first/kill), and optional non-blocking enhancements (upside on a run). Call this to gate ad spend — assess every generated variant and only run the ones that score well.
audit_campaign_structureGet an expert performance-marketer's audit of a paid-ads CAMPAIGN STRUCTURE (Meta, Google, or TikTok) before budget flows through it — the structural layer, not the creative. Judges the build by the correct platform's rulebook (Meta CBO/ABO + learning phase, Google Search vs PMax vs Demand Gen, TikTok SPC + creative volume) and returns a verdict (sound/fix_first/restructure), scores across structure, budget allocation, audience setup, bid strategy, measurement and structural risk, the single biggest budget leak, blocking prioritized fixes, and (on a sound build) optional non-blocking optimizations. Call this to catch fragmented budgets, audience overlap, wrong campaign type, and mismatched optimization events before spend.
analyze_campaign_performanceGet an expert performance-marketer's diagnosis of a RUNNING campaign's real metrics (Meta, Google, or TikTok). Judges every number against platform/objective/stage/vertical benchmarks, walks the funnel (delivery → CTR → landing → conversion → ROAS) to find the ONE bottleneck, and returns a verdict (healthy/fix_first/kill_or_rebuild/insufficient_data), scores across delivery, click-engagement, landing-efficiency, conversion, efficiency and data-confidence, the primary bottleneck, a diagnosis attributed to the right layer, and prioritized fixes. Refuses to diagnose noise when volume is too low (insufficient_data). Optionally pass linked_assessments (the assessment_id from a prior assess_ad_creative / audit_campaign_structure run) or a campaign_identifier to get an honest reconciliation of what Spendict predicted vs what happened.
strategize_targetingGet an expert performance-marketer to DESIGN a paid-ads targeting strategy for a new campaign (Meta, Google, or TikTok) — the generative counterpart to audit_campaign_structure. Given a product, budget, and objective, it returns ONE opinionated, executable plan: the audience approach, segmentation, exclusions, a budget split with a learning-phase/data-sufficiency check, platform setup notes, and the single biggest risk in the plan — designed by the identified platform's targeting model (Meta broad+creative, Google intent/keywords, TikTok broad+automation). Includes a budget-realism check so it consolidates rather than fragmenting a thin budget across too many segments. Call this to design what to launch; use audit_campaign_structure once it's built.