Mode VC LLM Token Economics & Model Release Velocity

com.modevc/llm-economicsVersion 2.0.2

Query empirical frontier LLM release velocity, inference token deflation, and enterprise AI spend.

Status

Responds284 msNov 14, 2026, 17:50 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 17:50 UTC
Latency: 284 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 22:14 UTC

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Connect

Streamable HTTP

https://modevc.com/api/mcp/llm-economicsResponds284 msNov 14, 2026, 17:50 UTC

No sign-in

Claude Code

claude mcp add --transport http llm-economics https://modevc.com/api/mcp/llm-economics

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: llm-economics
Remote MCP server URL: https://modevc.com/api/mcp/llm-economics

Cursor

{
  "mcpServers": {
    "llm-economics": {
      "url": "https://modevc.com/api/mcp/llm-economics"
    }
  }
}

VS Code

code --add-mcp '{"name":"llm-economics","type":"http","url":"https://modevc.com/api/mcp/llm-economics"}'

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Tools

4 tools

Tools of Mode VC LLM Token Economics & Model Release Velocity
	Description		Read-only	Idempotent	Open world
`calc_llm_inference_cost`Estimates monthly LLM spend, cost per user and per request, prompt-cache savings, savings from routing a share of requests to a cheaper model, and gross margin against a target, for an AI product on any current Claude, GPT, Gemini, DeepSeek or Grok model at list price. Compares 9 common models. Same math and the same dated price file as https://modevc.com/tools/llm-inference-calculator.	Estimates monthly LLM spend, cost per user and per request, prompt-cache savings, savings from routing a share of requests to a cheaper model, and gross margin against a target, for an AI product on any current Claude, GPT, Gemini, DeepSeek or Grok model at list price. Compares 9 common models. Same math and the same dated price file as https://modevc.com/tools/llm-inference-calculator.	No	Yes	Yes	No
`get_chart_data`Returns one chart from the Chart of the Day archive: the data table behind it (rows as published), claim, takeaway, note and the sources it cites. Look up by slug or title. Data is as published on the chart page; follow source_urls for the original data.	Returns one chart from the Chart of the Day archive: the data table behind it (rows as published), claim, takeaway, note and the sources it cites. Look up by slug or title. Data is as published on the chart page; follow source_urls for the original data.	No	Yes	Yes	No
`get_venture_chart_of_the_day`Returns the most recent charts from Mode VC's Chart of the Day archive (one new chart per day, mostly AI model, adoption, developer-package and pricing data), newest first, each with its claim, takeaway, URL and cited sources.	Returns the most recent charts from Mode VC's Chart of the Day archive (one new chart per day, mostly AI model, adoption, developer-package and pricing data), newest first, each with its claim, takeaway, URL and cited sources.	No	Yes	Yes	No
`search_charts`Searches every chart in the Mode VC Chart of the Day archive by keyword over title, claim, takeaway and keywords. Returns claims, takeaways, canonical URLs, markdown endpoints and cited sources. The archive grows by one chart a day; the response states its current size.	Searches every chart in the Mode VC Chart of the Day archive by keyword over title, claim, takeaway and keywords. Returns claims, takeaways, canonical URLs, markdown endpoints and cited sources. The archive grows by one chart a day; the response states its current size.	No	Yes	Yes	No

Details

Registry status: Active
Published: Oct 18, 2026
Updated: Oct 18, 2026
Website: https://modevc.com/charts/ai-model-releases-named-models-per-lab/⁠ (opens in a new tab)
Repository: https://github.com/harrybuild/modevc-ai-charts-mcp⁠ (opens in a new tab)
Categories (suggested): AI modelsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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