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Gerolamo — Competitive Science and Technology Intelligence for A…

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Gerolamo — Competitive Science and Technology Intelligence for AI Agents MCP Server について

Scout, score, and fuse 36,000+ open-source projects, papers, and ML models into defensible technology stacks. Your agent can discover undervalued sleepers before they break out, threat-check dependencies for frontier-lab obsolescence risk, compose new software architectures from

#competitive-intelligence#open-source#research#ai-agents#defensibility#foundation-models#pricing#arxiv#github#huggingface

Gerolamo — Competitive Science and Technology Intelligence for AI Agents MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "gerolamo": {
      "url": "https://gerolamo.onrender.com/mcp/sse",
      "headers": {
        "X-API-Key": "<YOUR_API_KEY>"
      }
    }
  }
}

Gerolamo — Competitive Science and Technology Intelligence for AI Agents MCP Server のツール

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上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。

概要

What is Gerolamo?

Gerolamo is an MCP server that enables AI agents to perform competitive science and technology intelligence. It provides semantic search across 36,000+ GitHub repos, arXiv papers, and HuggingFace models, scores entities 1–10 for defensibility with frontier-lab obsolescence risk assessment, and offers tools for composing technology architectures, analyzing dependency stacks, optimizing foundation model selection, and inventing speculative “meta molecules.”

How to use Gerolamo?

Run npx gerolamo-mcp setup or manually add the server to ~/.claude/mcp.json with the URL https://gerolamo.onrender.com/mcp/sse and your API key in the X-API-Key header. Obtain your API key at gerolamo.org → Connect. Once configured, the agent exposes 29 tools across intelligence search, analysis, composition, briefs, creators, foundation models, workspace, topics, and lineage categories.

Key features of Gerolamo

  • Semantic search over 36,000+ repos, papers, and models.
  • Entity scoring (1–10) for defensibility and obsolescence risk.
  • Compose multiple technologies into architecture specs and reports.
  • Analyze dependency stacks for weakest-link risk and creator authority.
  • Optimize foundation model recommendations with pricing across 9 providers.
  • Invent speculative “meta molecules” with lineage tracking and crowd validation.

Use cases of Gerolamo

  • Build new technology stacks by searching and composing proven primitives.
  • Select the optimal foundation model for a given task and budget.
  • Threat-check dependencies before shipping by scoring and finding alternatives.
  • Propose a hypothetical technology combination and track its lineage in the network.
  • Produce competitive intelligence briefs and explore connections in a domain.

よくある質問

1

How do I get an API key for Gerolamo?

Obtain your API key at gerolamo.org → Connect. The key is passed in the `X-API-Key` header when configuring the MCP server.

2

How many tools does Gerolamo provide?

The server exposes 29 tools, grouped into categories such as Intelligence Search, Analysis, Composition, Briefs, Creators, Foundation Models, Workspace, Topics, and Lineage.

3

Does Gerolamo work only with Claude?

The configuration example shows adding the server to `~/.claude/mcp.json`, which is standard for the Claude desktop app. The server uses the standard MCP SSE transport and can be used with any MCP-compatible client that supports the same configuration format.

4

What is a “meta molecule” in Gerolamo?

A meta molecule is a speculative combination of existing technologies proposed as a hypothetical new capability. It links to parent primitives for lineage tracking and, once built, can be marked as realized and added to the intelligence corpus. Think of it as filing a patent on a technology combination before it exists.

5

What runtimes does Gerolamo require?

Gerolamo can be set up via `npx gerolamo-mcp setup`, which requires Node.js and npm. Alternatively, manual JSON configuration does not require any additional runtime on the client side beyond the MCP host.

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