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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

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

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

[mcp_servers.llm-economics]
url = "https://modevc.com/api/mcp/llm-economics"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "llm-economics": {
      "type": "remote",
      "url": "https://modevc.com/api/mcp/llm-economics",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "llm-economics": {
      "type": "http",
      "url": "https://modevc.com/api/mcp/llm-economics"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=llm-economics&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbW9kZXZjLmNvbS9hcGkvbWNwL2xsbS1lY29ub21pY3MifQ%3D%3D"
}

{
  "servers": {
    "llm-economics": {
      "type": "http",
      "url": "https://modevc.com/api/mcp/llm-economics"
    }
  }
}

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

extensions:
  "llm-economics":
    enabled: true
    name: "llm-economics"
    type: streamable_http
    uri: "https://modevc.com/api/mcp/llm-economics"
    timeout: 300

Quality 100 / 100new

protocol100 · weight 25

pass
protocol.modernsupports 2026-07-28 (server/discover)
pass
protocol.statelessanswers without a session
pass
protocol.transportstreamable HTTP
pass
protocol.list_ttltool list is cacheable (ttlMs 3600000)

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene100 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations3 of 3 tools declare readOnlyHint or destructiveHint
pass
tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
pass
tools.token_costabout 430 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stabilityn/a · weight 15

n/a
stability.changes, stability.rug_pulltool history recorded for 2 of the 7 days needed

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

3 tools, about 430 tokens to load them all · tool set 9656f4f8e4f0 · checked 2026-10-20 17:34 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 96 / 100

provenance85

liveness100

freshness100

hygiene100

+repository +dns-namespace +website +reachable +uptime-100% +updated-3d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://modevc.com/api/mcp/llm-economics` streamable-http	none	yes	100%	218 ms	2026-07-28, 2025-11-25, 2025-06-18, 2025-03-26, 2024-11-05	2026-10-20

Tools (3)

`get_chart_data`read-only	Retrieves the complete empirical data series, takeaway, notes, and primary sources for a specific Mode VC chart by its slug or title.
`get_venture_chart_of_the_day`read-only	Returns the latest daily AI adoption, developer trends, model benchmark movements, and pricing deflation charts from Mode VC's primary research lab.
`search_charts`read-only	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.

Schemas: list_tools.

Also listed as

1 other active names share this repository: com.modevc/ai-charts

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Official server.json

{
  "name": "com.modevc/llm-economics",
  "title": "Mode VC LLM Token Economics & Model Release Velocity",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://modevc.com/api/mcp/llm-economics",
      "type": "streamable-http"
    }
  ],
  "version": "2.0.2",
  "repository": {
    "url": "https://github.com/harrybuild/modevc-ai-charts-mcp",
    "source": "github"
  },
  "websiteUrl": "https://modevc.com/charts/ai-model-releases-named-models-per-lab/",
  "description": "Query empirical frontier LLM release velocity, inference token deflation, and enterprise AI spend."
}