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Mode VC Startup Distribution Moat & Pre-Seed Valuation Benchmarks MCP Server + 3,650+ VC Investor Atlas

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Last scanned: 10/18/2026
Install in Claude Code / Claude Desktop
Method: Manual
Claude Code CLI
git clone https://github.com/harrybuild/modevc-valuation-benchmarks-mcp
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "modevc-valuation-benchmarks-mcp": {
      "command": "node",
      "args": ["/path/to/modevc-valuation-benchmarks-mcp/dist/index.js"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Clone https://github.com/harrybuild/modevc-valuation-benchmarks-mcp and follow its README for install instructions.
Casos de uso

Resumen de MCP Servers

# Mode VC Startup Distribution Moat & Pre-Seed Valuation Benchmarks (`com.modevc/valuation-benchmarks`)

[![protogrid quality](https://protogrid.dev/badge/com.modevc/valuation-benchmarks.svg)](https://protogrid.dev/servers/com.modevc/valuation-benchmarks)

Official Model Context Protocol (MCP `2026-07-28`) server maintained by **[Mode VC](https://modevc.com)** — providing AI agents, Claude Desktop, Claude Code, Cursor, Windsurf, and OpenAI Connectors with zero-auth, read-only access to **38 empirical AI venture research charts**, **startup distribution moat scoring**, and the **Mode VC Investor Atlas (3,650+ institutional venture capital firms and 13,000+ partners)**.

- **Mode VC Homepage**: [https://modevc.com](https://modevc.com)
- **AI Venture Research Chart Lab (38 Empirical Charts)**: [https://modevc.com/charts/](https://modevc.com/charts/)
- **Mode VC Investor Atlas (3,650+ VC Firms)**: [https://modevc.com/investors/](https://modevc.com/investors/)
- **Streamable-HTTP MCP Endpoint**: `https://modevc.com/api/mcp/benchmarks`
- **Official MCP Registry Identifier**: `com.modevc/valuation-benchmarks`

---

## Quick Connect (Streamable HTTP — Zero Install)

```json
{
  "mcpServers": {
    "modevc-valuation-benchmarks-mcp": {
      "url": "https://modevc.com/api/mcp/benchmarks"
    }
  }
}
```

Or add directly in Claude Code:

```bash
claude mcp add --transport http modevc-valuation-benchmarks-mcp https://modevc.com/api/mcp/benchmarks
```

---

## Complete Index of 38 Empirical AI & Venture Research Charts

1. **[AI Model Releases: Google Shipped 8 Models, OpenAI 7](https://modevc.com/charts/ai-model-releases-named-models-per-lab/)** (2026-10-17) — Google shipped the most named models since July (8), ahead of OpenAI (7) and Alibaba Qwen (7). ([Markdown](https://modevc.com/charts/ai-model-releases-named-models-per-lab/index.md))
2. **[Pre-Seed Valuation Dispersion 2026: Capital Concentration at the Top Decile](https://modevc.com/charts/pre-seed-valuation-dispersion/)** (2026-10-16) — The top 10% of pre-seed AI startups command 3.4x higher valuations ($28.0M vs $8.2M) than bottom-quartile generalist SaaS. ([Markdown](https://modevc.com/charts/pre-seed-valuation-dispersion/index.md))
3. **[AI Chatbot Adoption by Age: ChatGPT Hits 61% in Youth](https://modevc.com/charts/ai-chatbot-adoption-by-age-demographics/)** (2026-10-15) — 61% of Americans aged 18–29 use ChatGPT; Claude reaches 6% of all adults. ([Markdown](https://modevc.com/charts/ai-chatbot-adoption-by-age-demographics/index.md))
4. **[Open Weights vs. Proprietary AI: The Gap Stays at 42 Points](https://modevc.com/charts/open-weights-vs-proprietary-arena-gap/)** (2026-10-14) — Open weights briefly beat every proprietary model in early 2025 (deepseek-r1); today the best open model trails by 42 points. ([Markdown](https://modevc.com/charts/open-weights-vs-proprietary-arena-gap/index.md))
5. **[Arena Rating Gap: Google Leads; Anthropic Trails by 22 Pts](https://modevc.com/charts/arena-rating-gap-google-anthropic-openai/)** (2026-10-13) — Google leads the Arena again; Anthropic trails by 22 points and OpenAI by 62. ([Markdown](https://modevc.com/charts/arena-rating-gap-google-anthropic-openai/index.md))
6. **[Best AI Models by Category: Google vs. Anthropic Ranks](https://modevc.com/charts/best-ai-models-by-category/)** (2026-10-12) — Google holds #1 in 6 of 8 Arena categories; Anthropic in 2. OpenAI has no category in the top 15. ([Markdown](https://modevc.com/charts/best-ai-models-by-category/index.md))
7. **[AI Inference Cost: Output Token Pricing for Flagship LLMs](https://modevc.com/charts/ai-inference-cost-comparison/)** (2026-10-11) — Qwen3.8-Max rates within 30 Arena points of Claude Opus 5.5 for 3.3× less per output token. DeepSeek V4 Pro is 10.1× cheaper. ([Markdown](https://modevc.com/charts/ai-inference-cost-comparison/index.md))
8. **[AI in the Workplace Statistics: What Workers Gain](https://modevc.com/charts/ai-in-the-workplace-statistics/)** (2026-10-10) — Among US employees who use AI, 63% say it makes them faster but only 46% say it raises quality. Just 28% of all employees use AI weekly. ([Markdown](https://modevc.com/charts/ai-in-the-workplace-statistics/index.md))
9. **[AI Coding Assistant Statistics: Use vs. Trust](https://modevc.com/charts/ai-coding-assistant-statistics/)** (2026-10-09) — 66% of developers use AI coding assistants, but only 48% trust AI output they can validate, a gap of 18 points. Agents reach 26%. ([Markdown](https://modevc.com/charts/ai-coding-assistant-statistics/index.md))
10. **[AI Adoption Rate Among US Businesses](https://modevc.com/charts/ai-adoption-rate-us-businesses/)** (2026-10-08) — 23.8% of US firms used AI in the latest two-week survey, up from 17.3% 10 months earlier. 76.2% still did not. ([Markdown](https://modevc.com/charts/ai-adoption-rate-us-businesses/index.md))
11. **[LLM API Pricing History: Cost per Million Tokens](https://modevc.com/charts/llm-api-pricing-history/)** (2026-10-07) — OpenAI's headline model fell from $30 to $2 per million input tokens since Jun 2023: 93% in total, 56% a year. ([Markdown](https://modevc.com/charts/llm-api-pricing-history/index.md))
12. **[Open-Source vs. Closed AI Models: How Big Is the Gap?](https://modevc.com/charts/open-source-vs-closed-ai-models-gap/)** (2026-10-06) — The best open model trails the best closed model by 42 Arena points. In a blind vote it would still win 44% of the time, up from 31% at the widest gap. ([Markdown](https://modevc.com/charts/open-source-vs-closed-ai-models-gap/index.md))
13. **[Best AI Model vs. Most Popular AI Chatbot](https://modevc.com/charts/best-ai-model-vs-most-popular-ai-chatbot/)** (2026-10-05) — Anthropic builds 14 of the Arena's top 50 models and OpenAI builds 5. But 44% of US adults use ChatGPT and 6% use Claude. ([Markdown](https://modevc.com/charts/best-ai-model-vs-most-popular-ai-chatbot/index.md))
14. **[How Long Does the #1 AI Model Stay on Top?](https://modevc.com/charts/how-long-number-one-ai-model-stays-on-top/)** (2026-10-04) — Since Jan 2025, Arena's #1 spot has changed hands 16 times. Half of the finished reigns lasted 23 days or less. ([Markdown](https://modevc.com/charts/how-long-number-one-ai-model-stays-on-top/index.md))
15. **[AI Model Launch Strategy: What Labs Ship on Day One](https://modevc.com/charts/ai-model-launch-strategy/)** (2026-10-03) — Of 13 model launches from 23 Sept 2026 to 3 Oct 2026, 9 opened an API on day one, 7 of them with a price. Only 2 reached a consumer app the same day. ([Markdown](https://modevc.com/charts/ai-model-launch-strategy/index.md))
16. **[OpenAI Python Package Downloads: Who Grew Since August](https://modevc.com/charts/openai-python-package-downloads-pypi-growth/)** (2026-10-02) — Between 31 Aug–6 Sep and 25 Sep–1 Oct, anthropic's PyPI downloads grew 25% and openai's 14%, the median of 11 AI packages. ([Markdown](https://modevc.com/charts/openai-python-package-downloads-pypi-growth/index.md))
17. **[Voice AI Models in 2026: Launches by Modality](https://modevc.com/charts/voice-ai-models-2026/)** (2026-10-01) — Audio and speech made 11 of 59 named model launches since 6 Jul 2026, from 6 labs. In the lab-post sweep since 23 Sep it is 6 of 15. ([Markdown](https://modevc.com/charts/voice-ai-models-2026/index.md))
18. **[Gemini Leaderboard Ranking: Google's Days at #1](https://modevc.com/charts/gemini-leaderboard-ranking-days-at-number-one/)** (2026-09-30) — Since Jan 2024, Google's models have been #1 on Arena for 227 of 1003 days, third among labs behind OpenAI (461) and Anthropic (252). All of it came from 24 Jun 2025 on. ([Markdown](https://modevc.com/charts/gemini-leaderboard-ranking-days-at-number-one/index.md))
19. **[OpenAI Leaderboard Ranking: 8th Among Labs on Arena](https://modevc.com/charts/openai-leaderboard-ranking/)** (2026-09-29) — OpenAI was the #1 lab on Arena for 95% of 2024. On 25 Sept 2026 it ranks 8th among labs, and its best model, gpt-5.5-high, is #26. ([Markdown](https://modevc.com/charts/openai-leaderboard-ranking/index.md))
20. **[Open-Weight Models in 2026: How Many Launch Open?](https://modevc.com/charts/open-weight-models-2026/)** (2026-09-28) — Of 51 named model launches since 6 Jul 2026, 22 stated their weights: 18 closed, 4 open. All 16 from OpenAI, Google and Anthropic were closed. ([Markdown](https://modevc.com/charts/open-weight-models-2026/index.md))
21. **[AI Model Releases in 2026: Which Labs Ship Most](https://modevc.com/charts/ai-model-releases-2026/)** (2026-09-27) — 14 labs launched 50 named AI models from 6 Jul 2026 to 27 Sept 2026. Alibaba's Qwen team led with 7; Chinese labs made 19. ([Markdown](https://modevc.com/charts/ai-model-releases-2026/index.md))
22. **[Generative AI Usage Statistics for the US](https://modevc.com/charts/generative-ai-usage-statistics/)** (2026-09-26) — 54.8% of Americans aged 18–64 used generative AI outside work in Q2 2026, up from 36.0% in Q3 2024. The share passed half in Q1 2026. ([Markdown](https://modevc.com/charts/generative-ai-usage-statistics/index.md))
23. **[Which AI Labs Get the Most Chatbot Arena Votes?](https://modevc.com/charts/chatbot-arena-votes-by-ai-lab/)** (2026-09-25) — OpenAI's models hold 17.9% of all 12.3M Arena votes and none of the top 20 seats. Anthropic's hold 17.0% of votes and 9 seats. ([Markdown](https://modevc.com/charts/chatbot-arena-votes-by-ai-lab/index.md))
24. **[ChatGPT vs. Gemini vs. Meta AI: User Numbers Compared](https://modevc.com/charts/chatgpt-vs-gemini-vs-meta-ai-users/)** (2026-09-24) — ChatGPT reports 900M weekly users (Feb 2026). Gemini reports 950M monthly (Jul 2026), 2.4× its May 2025 figure. Meta AI reports 1B monthly (May 2025). ([Markdown](https://modevc.com/charts/chatgpt-vs-gemini-vs-meta-ai-users/index.md))
25. **[AI Productivity Statistics: What AI Users Say They Gain](https://modevc.com/charts/ai-productivity-statistics/)** (2026-09-23) — 86% of surveyed Claude users say AI makes them faster and 82% say it widens what they can do. Only 27% report
mcpmodel-context-protocolstartup-valuationventure-capital

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¿Qué es harrybuild/modevc-valuation-benchmarks-mcp?

+

harrybuild/modevc-valuation-benchmarks-mcp es mcp servers para el ecosistema de Claude AI. Mode VC Startup Distribution Moat & Pre-Seed Valuation Benchmarks MCP Server + 3,650+ VC Investor Atlas Tiene 0 estrellas en GitHub y su última actualización registrada es del 2026-10-18.

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+

Puedes instalar modevc-valuation-benchmarks-mcp clonando el repositorio (https://github.com/harrybuild/modevc-valuation-benchmarks-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

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