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PitchDeck MCP Server

PitchDeck MCP Server

PitchDeck MCP Server

An MCP (Model Context Protocol) server that generates AI-powered pitch decks for startups and businesses.

Features

  • generate_pitch_deck - Creates a complete investor pitch deck with:

    • Title slide

    • Problem statement

    • Solution overview

    • Market opportunity

    • Business model

    • Competitive landscape (optional)

    • Traction & milestones

    • Team overview

    • Financial projections

    • Funding request (optional)

    • Closing slide

Installation

npm install
npm run build

Usage

As an MCP Server

Add to your MCP client configuration (e.g., Claude Desktop):

{
  "mcpServers": {
    "pitchdeck": {
      "command": "node",
      "args": ["/path/to/pitchdeck-mcp/dist/index.js"]
    }
  }
}

Tool: generate_pitch_deck

Generate a complete pitch deck for your startup.

Required Inputs:

Parameter

Type

Description

company_name

string

The name of the company or startup

problem

string

The problem or pain point the company solves

solution

string

The solution or product the company offers

market_size

string

Target market and size (e.g., "$10B healthcare market")

business_model

string

How the company makes money

Optional Inputs:

Parameter

Type

Description

industry

string

Industry vertical (auto-detected if not provided)

competition

string

Key competitors and landscape

funding_amount

string

Amount being raised (e.g., "$2M seed round")

use_of_funds

string

Allocation of funding

Example:

{
  "company_name": "TechFlow",
  "problem": "Small businesses waste 20+ hours per week on manual data entry",
  "solution": "AI-powered automation platform with 99.9% accuracy",
  "market_size": "$200B SMB administrative software market",
  "business_model": "SaaS subscription: $99/month starter, $299/month pro",
  "competition": "Legacy players like SAP are slow and expensive",
  "funding_amount": "$3M Seed Round"
}

Output:

Returns a JSON object with:

  • companyName: Company name

  • slides: Array of slide objects with title, content, and type

  • generatedAt: ISO timestamp

Development

# Install dependencies
npm install

# Run in development mode
npm run dev

# Run tests
npm test

# Build for production
npm run build

Testing

npm test

Tests cover:

  • Required field generation

  • Optional field handling (competition, funding)

  • Slide content validation

  • Edge cases (company names with spaces)

License

MIT

Available Tools

1 tool
generate_pitch_deckB

Generate a professional AI-powered pitch deck for a startup or business. Returns a complete slide deck with title, problem, solution, market, business model, traction, team, financials, and closing slides.

Inputs: company_name (required), problem (required), solution (required), market_size (required), +5 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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    TDQS

    B3.2/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of ambiguity or overlap between tools, as there are no other tools to confuse it with. The tool's purpose is clearly defined and distinct by default.

    Naming Consistency5/5

    The single tool name 'generate_pitch_deck' follows a clear verb_noun pattern, and with no other tools, consistency is inherently perfect. There are no deviations or mixed conventions to evaluate.

    Tool Count2/5

    A single tool is too few for a server named 'PitchDeck MCP Server', which suggests a broader domain like pitch deck creation and management. This minimal toolset feels thin and limits functionality, as it only covers generation without supporting operations like editing, listing, or deleting pitch decks.

    Completeness2/5

    The tool surface is severely incomplete for the implied domain of pitch deck management. While generation is covered, there are significant gaps such as updating existing decks, retrieving or listing decks, deleting decks, or handling slide-level operations, which will likely cause agent failures in broader workflows.

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