GrowthKit Revenue Intelligence
RemoteAbout GrowthKit Revenue Intelligence
GrowthKit Revenue Intelligence is a remote MCP server for B2B SMEs without a dedicated GTM team, combining marketing memory, lead scoring, CRM enrichment, and writeback. It focuses on DACH and EU businesses, with OAuth and role-based data access.
Key features
- 01Chaptered long-term marketing memory
- 02ICP-based lead scoring
- 03CRM search, creation, and writeback
- 04Company and contact enrichment
- 05Campaign and lead management
- 06Tasks, reminders, and email actions
Use cases
- 01Prioritize prospects by ICP fit
- 02Write enriched leads back to a CRM
- 03Organize marketing strategy and campaign records
- 04Schedule follow-ups and draft emails
MCP support
As a remote MCP server, it provides marketing memory, lead scoring, CRM, enrichment, and campaign tools to MCP clients over Streamable HTTP. Data operations are gated by OAuth and role- and plan-based access.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.growthkit.toolsclaude mcp add --transport http growthkit-tools https://mcp.growthkit.tools{"mcpServers":{"growthkit-tools":{"type":"http","url":"https://mcp.growthkit.tools"}}}Open in Cursor{"servers":{"growthkit-tools":{"type":"http","url":"https://mcp.growthkit.tools"}}}Open in VS Code{"mcpServers":{"growthkit-tools":{"type":"http","url":"https://mcp.growthkit.tools"}}}{"mcpServers":{"growthkit-tools":{"serverUrl":"https://mcp.growthkit.tools"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
62| Parameter | Type | Required | Description |
|---|---|---|---|
| content | string | No | Text content to store (for single embed). |
| items | array | No | Batch embed: array of {content, metadata}. Max 50. Each MUST include metadata.chapter. |
| metadata | object | No | REQUIRED: Must include chapter key. |
Details
From the project READMEGrowthKit Revenue Intelligence — MCP Server
Sales intelligence for B2B SMEs — lead scoring, ICP fit, CRM enrichment & writeback.
GrowthKit Revenue Intelligence is a remote Model Context Protocol server that gives Claude, ChatGPT, Cursor and other MCP clients a persistent, structured GTM brain: a chaptered long-term marketing memory, ICP-based lead scoring, CRM enrichment, and — uniquely — strategy writeback into your CRM rather than just into a dashboard.
It is built for owner-led B2B companies that don't have a dedicated GTM team to wire all of this together by hand — with first-class support for the DACH/EU mid-market (German UI, EU-compliant).
- Homepage: https://growthkit.tools/en/mcp
- Server URL:
https://mcp.growthkit.tools - Hosted: remote MCP over Streamable HTTP, OAuth 2.0 with PKCE. No local install.
Quick start
Add the server to any MCP-compatible client (Claude Desktop, Claude.ai, ChatGPT, Cursor, VS Code, Cline, …):
{
"mcpServers": {
"growthkit": {
"url": "https://mcp.growthkit.tools"
}
}
}
On first connect you'll be taken through an OAuth screen. Paste your GrowthKit
token (gk_…) to connect your own workspace, or click Try the demo to explore
a read-only sample workspace — no signup required.
Don't have a token yet? See plans & pricing: https://growthkit.tools/en/pricing
What it does
GrowthKit organises GTM knowledge into a chaptered memory (icp, strategy, campaigns, analytics, brand, competitors, learnings, pipeline, signals, playbook) and lets the assistant read and write that memory, score leads against your ICP, enrich companies and contacts, and push the result back into your CRM.
Capability areas
- Structured marketing memory — semantic search, batch embedding, auto-tagging, full version history with an audit trail.
- ICP lead scoring — scores company/contact pairs against your ICP and surfaces the highest-fit leads, with per-dimension breakdowns and data-completeness filtering.
- CRM read & writeback — search/create companies, contacts and deals; structured segment queries; notes and follow-up activities. (Twenty live; Pipedrive, HubSpot, Salesforce and others on the roadmap.)
- Enrichment — company and person enrichment, contact discovery, email finding and verification.
- Campaigns — create and manage campaign briefings, import and triage leads through their lifecycle.
- Tasks & reminders — ICE-prioritised tasks and scheduled reminders.
- Email — draft or send via your connected Gmail account (Microsoft 365 on the roadmap).
- Guided playbooks — onboarding, ICP workshop, competitor analysis, campaign brief, content brief and weekly review (available on the Growth and Pro plans).
Discovery methods (
tools/list,prompts/list,resources/list) are open so registries and inspectors can enumerate capabilities without authenticating. Everything that touches your data is gated behind OAuth and role-/plan-based access control.
Roles & access
Access is scoped by token type — admin, team, view — with chapter-level
read/write permissions, plus a read-only demo surface. Plan-gated features
(such as the guided playbook bodies) additionally require a Growth or Pro plan.
Architecture
MCP client ──▶ MCP protocol layer (this repo) ──▶ GrowthKit backend
│
└─ OAuth 2.0 (PKCE), role/plan gating, demo surface
This repository contains the MCP protocol layer: it speaks the MCP protocol, handles the OAuth flow, enforces role- and plan-based access control, and routes tool calls to the GrowthKit backend. The backend itself — scoring logic, data store and automation — is not part of this repository.
EU-hosted, GDPR-aligned.
Links
- Website: https://growthkit.tools
- MCP overview: https://growthkit.tools/en/mcp
- Pricing: https://growthkit.tools/en/pricing
- GTM Advisory: https://growthkit.consulting
- Smithery: https://smithery.ai/server/growthkit/revenue-intelligence
- Glama: https://glama.ai/mcp/connectors/tools.growthkit/revenue-intelligence
GrowthKit is built in public. This repository is the MCP server surface only; the product backend and proprietary GTM logic live elsewhere.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.