deckforge-narrative-mcp
v0.1.0
Published
MCP server for pitch deck narrative generation — investor storytelling, competitive positioning, market sizing narratives, founding story frameworks, and slide-by-slide content generation
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deckforge-narrative-mcp
MCP server for pitch deck narrative generation. Generate slide-by-slide content with storytelling frameworks, competitive positioning, market sizing, and investor story coaching.
Tools
| Tool | Description |
|------|-------------|
| generate_narrative | Full slide-by-slide pitch deck content with headlines, key points, speaker notes, and visual suggestions |
| competitive_positioning | 2x2 matrix, competitor analysis, and counter-narrative Q&A prep |
| market_sizing | TAM/SAM/SOM using top-down, bottom-up, and value-theory approaches |
| investor_story | Transform raw facts into a compelling founder/investor narrative |
Narrative Arcs
- Hero Journey — founder discovers a painful truth and builds the solution
- Problem-Solution — classic pain identification with elegant answer
- Vision-Reality — paint the future, show you're building the bridge
- Market Wave — massive shift happening, you're positioned to ride it
- Contrarian Insight — everyone believes X, the truth is Y
- Inevitability — this outcome is certain, you're the fastest path
Supported Stages
Pre-seed, Seed, Series A, Series B, Series C+, Growth, Bridge
Audience Types
VC, Angel, Corporate VC, PE, Strategic, Accelerator, Crowdfunding — each with tailored tone, focus areas, and deck length recommendations.
Install
npx deckforge-narrative-mcpClaude Desktop Config
{
"mcpServers": {
"deckforge-narrative": {
"command": "npx",
"args": ["-y", "deckforge-narrative-mcp"]
}
}
}Example
Generate a Series A pitch narrative:
generate_narrative({
company_name: "Acme AI",
one_liner: "AI-powered contract review for legal teams",
stage: "series_a",
audience: "vc",
narrative_arc: "problem_solution",
industry: "enterprise",
problem: "Legal teams spend 60% of time on routine contract review",
solution: "AI that reads contracts like a senior associate",
traction: "$1.2M ARR, 40 enterprise customers, 150% NRR",
ask_amount: "$15M",
differentiator: "Trained on 2M real contracts, not generic LLM"
})Full pitch deck builder: deckforgeai.com
License
MIT
