Marketing Analytics AI MCP

Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/csoai-org-marketing-analytics-ai-mcp

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Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools

3 read · 1 write · 0 delete · 1 not yet classified

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Runs as

Python package

Tools (5)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

• ab_test_analyze

  Analyze A/B test results with statistical significance testing. Returns winner, z-score, p-value, lift percentage, and sample size adequacy. Args: visitors_a: Visitors in control group (A) conversions_a: Conversions in control group (A) visitors_b: Visitors in variant group (B) conversions_b: Conversions in variant group (B) confidence_level: Required confidence level (default: 0.95) Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical in…

• ad_copy_generator

  Generate ad copy variants tailored to a specific platform with proper character limits and best practices. Args: product: Product or service name audience: Target audience description platform: Ad platform (google_search, facebook, instagram, linkedin, twitter, tiktok) tone: Copy tone (professional, casual, urgent, inspirational, humorous) cta: Call to action text (default: auto-generated based on tone) Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 1…

• attribution_model

  Apply an attribution model to marketing touchpoints. Distributes conversion credit across channels based on the chosen model. Args: touchpoints: Journey as [{"channel": "google", "timestamp": "2024-01-01", "cost": 50}, ...] model: Attribution model (first_touch, last_touch, linear, time_decay, u_shaped, w_shaped) Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier: 10/day rate limit. Pro tier: unlimited. No aut…

• campaign_roi

  Calculate comprehensive campaign ROI including ROAS, CPA, CPC, CPM, CTR, conversion rate, and performance assessment with recommendations. Args: spend: Total campaign spend in dollars revenue: Total revenue attributed to campaign conversions: Number of conversions impressions: Total ad impressions clicks: Total ad clicks period_days: Campaign duration in days Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). …

• funnel_optimizer

  Analyze a conversion funnel and identify the biggest leak point with optimization recommendations. Args: stages: List of funnel stages as [{"name": "Awareness", "count": 10000}, {"name": "Interest", "count": 3000}, ...] Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage. When to use: Use this tool when you need structured anal…

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Weekly downloads

59

Last commit

Sep 4, 2026 (1 month ago)

Last release

Aug 19, 2026 (2 months ago)

Last package publish

Jun 27, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name

io.github.CSOAI-ORG/marketing-analytics-ai-mcp

Version

1.0.9

Auth

No auth

Packages

pypi marketing-analytics-ai-mcp

License

MIT

Repository

github.com/CSOAI-ORG/marketing-analytics-ai-mcp

First seen

Oct 24, 2026

Last checked

Oct 25, 2026

Source

Official MCP Registrygithub-graphql