Gerolamo — Competitive Science and Technology Intelligence for AI Agents

Name: Gerolamo — Competitive Science and Technology Intelligence for AI Agents
Author: adjective-rob

@adjective-rob

关于 Gerolamo — Competitive Science and Technology Intelligence for AI Agents

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

基本信息

分类

其他

传输方式

stdio

发布者

adjective-rob

提交者

adjective-rob

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

FAQ from Gerolamo

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.

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.

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.

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.

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.