B2B Growth Platform · MCP · AI Agents

Your AI agent executes growth — GrowthPad makes it auditable

Connect Hermes or any MCP-compatible agent to a production-grade platform. Content pipelines, lead scoring, multi-site publishing, and observability — with local LLMs for privacy or cloud LLMs for scale.

35
MCP tools
23
Agent playbooks
5
Microservices
100%
Run audit trail

Architecture

🧠
AI Agent (Hermes / Cursor) Local or cloud LLM — strategy, copy, scheduling
↕ MCP (35 typed tools)
GrowthPad MCP Server No shell access · health-first · trace_id per session
↕ HTTP
📊
GrowthPad Platform Content · Discovery · Leads · Publish · Admin UI
Your model, your rules

Local LLM or cloud LLM — GrowthPad doesn't care

The AI agent handles reasoning and language. GrowthPad handles execution, persistence, and audit. Swap models without rebuilding your growth stack.

Local LLM

On-premise & air-gapped

Run Ollama, llama.cpp, or enterprise local models. Your strategy, copy, and customer data never leave your network — while GrowthPad still scores leads, publishes content, and logs every run.

  • Data sovereignty for regulated industries (healthcare, finance)
  • No per-token API costs for high-volume content ops
  • Hermes desktop with local model + GrowthPad MCP on localhost
  • Ideal for investor relations, internal ops, sensitive briefs
Key insight: GrowthPad is model-agnostic by design. MCP is the contract between agent and platform — not the LLM vendor. Your business gets one execution layer whether you run Llama on a Mac Studio or Claude in the cloud.
Platform capabilities

Everything your growth team needs — agent-operable

Six capability areas, 35 MCP tools, one admin console. No duplicate business logic between agent and platform.

📝

Content automation

Generate, SEO-score, schedule, and cascade blog posts to social. Topic contexts keep voice consistent across investor, industry, and brand briefs.

generate_content · optimize_content_seo · weekly_content_ops
🌐

Multi-site publishing

Publish blogs to managed site files, regenerate sitemaps and robots.txt, patch homepage meta — across a registered website portfolio.

publish_content_to_website · regenerate_site_seo
🎯

Lead intelligence

Server-side interaction scoring from website events. Anonymous ingest, no PII in tracking payloads, DLQ replay when scoring fails.

LEAD_INTERACTED · search_entities
🔍

Market discovery

Trigger discovery runs by region, flow assets through the event-sourced core engine, dedupe within the hour.

trigger_discovery · list_runs
📡

Platform observability

Health checks, alert review, run tracing, incident triage — all via MCP playbooks. No SSH, no production shell for agents.

incident_triage · daily_health_check
📋

Admin console

22-route Next.js dashboard: entities, content studio, runs, alerts, website registry, CSV export, settings.

Dashboard API :8004
Use cases

How businesses use GrowthPad + AI agents

Real workflows from production playbooks — not slide-deck promises.

Marketing

Weekly content without a content team

AI agent drafts SEO-aligned blogs from topic briefs. GrowthPad scores, publishes to your site, and generates 7-slide social cascades — same day, fully traced.

weekly_content_ops
Operations

AI-native platform on-call

Replace tribal runbooks with MCP playbooks. Agent runs health → service detail → alerts → hypothesis. Minutes to diagnosis, full audit log.

incident_triage
Sales & growth

Website clicks to scored leads

Track form submits and CTA clicks without third-party analytics lock-in. Server-side scoring, event ledger, agent investigates funnel trends via MCP.

search_entities + LEAD_INTERACTED
Enterprise

Regulated & investor content

Topic contexts for investor relations and industry commentary. Local LLM for sensitive drafts; GrowthPad proves what ran before anything hit the website.

blog_investor_relations
Portfolio ops

Multi-brand website publishing

One platform manages multiple sites in a registry. Explicit publish calls, readiness checks, SEO file maintenance — no CMS drift.

blog_to_website_publish
Engineering

Pre-release readiness gates

Before every sprint or deploy, agent runs health + failed runs + open alerts. PASS/FAIL sign-off with evidence — not a Slack thumbs-up.

pre_sprint_gate
Business impact

Why GrowthPad beats ChatGPT + spreadsheets

Days → Hours

Faster content cycles

One playbook replaces writer, SEO checker, and publish checklist.

Zero

Shell access for agents

Typed MCP tools only. Deploy requires explicit operator confirm.

1

Audit trail per session

Every action logged with trace_id across all microservices.

Any

LLM you choose

Local for privacy, cloud for capability — same platform either way.

Getting started

From zero to agent-operated growth in four steps

Start the platform

One command launches five microservices and the admin console. SQLite for dev, Postgres-ready for production.

Connect your agent

Register GrowthPad MCP in Hermes or Cursor. Pick local or cloud LLM — agent gets 35 tools, no API keys in prompts.

Run a playbook

Start with daily_health_check or weekly_content_ops. Agent health-checks first, then executes with one trace_id.

Review in admin

Every run, step, and output visible in the console. Operators approve deploys; agents never bypass guardrails.

Comparison

GrowthPad + AI agent vs. typical stack

Capability Typical stack GrowthPad + Hermes MCP
Content generation ChatGPT + manual paste Agent drafts → platform stores + SEO scores
Publishing CMS + manual deploy Explicit MCP publish + site registry
Observability Datadog + runbooks in docs 11 MCP observability playbooks
Lead tracking GA4 + CRM import Server-scored events + event ledger
Agent safety API keys in prompts MCP tools only; no shell access
LLM flexibility Locked to one vendor Local or cloud — model-agnostic MCP
Audit Fragmented logs Unified service_runs + trace_id

Ready to put AI agents to work on growth?

See GrowthPad run a live playbook — content ops, lead scoring, or platform observability — with your choice of local or cloud LLM.