MCP MeasureMCP Measure

index observed

Mode VC: AI Venture Research Charts & Investor Atlas

Query 38 empirical AI market charts, evaluate distribution defensibility, and search 3,650+ VCs.

Should I use this

Quality & Safety

A
Description quality
96%
Schema completeness
86%
Naming quality
97%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (2)

  • LOWTool 'get_mode_vc_thesis_and_criteria' description lacks action verbin get_mode_vc_thesis_and_criteria
  • LOWTool 'get_mode_vc_thesis_and_criteria' name length outside 3-30 rangein get_mode_vc_thesis_and_criteria

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~952Tokens (tool definitions)
~1023 BTypical response size
Moderate attention impact (0.74% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "radar": {
      "url": "https://modevc.com/api/mcp"
    }
  }
}

Remote endpoints

https://modevc.com/api/mcpstreamable-http

What it can do

Tool inventory

Tools (7)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢get_distribution_moat_score(product_name, business_model, acquisition_channels, has_proprietary_data_or_network)

Calculates the defensibility score (1 to 5) and AI parity vulnerability for a startup based on Mode VC's Distribution Moat Framework. Analyzes customer acquisition channels, network effects, and workflow lock-in.

Input Schema

{
  "type": "object",
  "properties": {
    "product_name": {
      "type": "string",
      "description": "Name of the startup or product"
    },
    "business_model": {
      "type": "string",
      "enum": [
        "B2B_SaaS",
        "Consumer_AI",
        "Developer_Tools",
        "Marketplace",
        "Fintech",
        "Hardware_DeepTech"
      ],
      "description": "Primary business model"
    },
    "acquisition_channels": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Key distribution channels, e.g. [\"viral_loop\", \"seo_geo\", \"hardware_bundle\", \"direct_sales\", \"open_source\"]"
    },
    "has_proprietary_data_or_network": {
      "type": "boolean",
      "description": "Does user activity generate compounding data or network lock-in?"
    }
  },
  "required": [
    "product_name",
    "business_model",
    "acquisition_channels"
  ]
}
🟢get_venture_chart_of_the_day(limit)

Returns the latest daily AI adoption, developer trends, model benchmark movements, and pricing deflation charts from Mode VC's primary research lab.

Input Schema

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 10,
      "default": 3,
      "description": "Number of recent charts to retrieve"
    }
  }
}
🟢search_charts(query, limit)

Searches across all 38 empirical AI & venture research charts published by Mode VC. Filter by keyword, topic, or date. Returns titles, empirical claims, takeaways, canonical URLs, and markdown endpoints.

Input Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Search term matching title, claim, key takeaway, or keywords (e.g. \"pre-seed\", \"pricing\", \"claude\", \"inference\", \"sdk\")"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 38,
      "default": 10,
      "description": "Maximum number of charts to return"
    }
  }
}
🟢get_chart_data(slug)

Retrieves the complete empirical data series, takeaway, notes, and primary sources for a specific Mode VC chart by its slug or title.

Input Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Chart slug or identifier (e.g. \"pre-seed-valuation-dispersion\", \"ai-inference-cost-comparison\", \"open-source-vs-closed-ai-models-gap\")"
    }
  },
  "required": [
    "slug"
  ]
}
🟢search_investors(query, sector, stage, location, limit)

Search 3,650+ institutional venture capital firms and 13,000+ partners from the Mode VC Investor Atlas. Filter by firm name, partner name, sector, stage, or geography.

Input Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Name of the firm or individual partner (e.g. \"a16z\", \"Benchmark\", \"Marc Andreessen\", \"Khosla\")"
    },
    "sector": {
      "type": "string",
      "description": "Target sector, e.g. \"ai-and-data\", \"dev-tools-and-infra\", \"enterprise-software\", \"fintech\", \"crypto\", \"healthtech\", \"climate\", \"consumer\""
    },
    "stage": {
      "type": "string",
      "enum": [
        "pre-seed",
        "seed",
        "series-a",
        "series-b"
      ],
      "description": "Target investment stage"
    },
    "location": {
      "type": "string",
      "description": "Geographic hub, e.g. \"california\", \"new-york\", \"massachusetts\", \"toronto\", \"united-states\""
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "default": 10,
      "description": "Number of results to return (max 50)"
    }
  }
}
🟢get_investor_details(slug_or_name)

Retrieves the complete verified profile for a specific venture capital firm, including its team of partners, active funds, website, and portfolio focus.

Input Schema

{
  "type": "object",
  "properties": {
    "slug_or_name": {
      "type": "string",
      "description": "Firm slug or exact name (e.g. \"andreessen-horowitz\", \"sequoia-capital\", \"accel\", \"406-ventures\")"
    }
  },
  "required": [
    "slug_or_name"
  ]
}
🟢get_mode_vc_thesis_and_criteria

Returns Mode VC's investment parameters: $1M–$5M initial ticket sizes, San Francisco Bay Area mandate, evaluation framework, and direct pitch routing.

Input Schema

{
  "type": "object",
  "properties": {}
}

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Evidence

Recent observations

verifiedversion not recorded7 tools