Gerolamo — Competitive Science and Technology Intelligence for AI Agents
About
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
Details
- Author
- adjective-rob
- Downloads
- 345
- Categories
- Other, AI
Jump to
- 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.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Gerolamo — Competitive Science and Technology Intelligence for AI AgentsCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
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.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"gerolamo \u2014 competitive science and technology intelligence for ai agents": {
"gerolamo": {
"url": "https://gerolamo.onrender.com/mcp/sse",
"headers": {
"X-API-Key": "<YOUR_API_KEY>"
}
}
}
}
}McpServers
{
"gerolamo": {
"url": "https://gerolamo.onrender.com/mcp/sse",
"headers": {
"X-API-Key": "<YOUR_API_KEY>"
}
}
}GEROLAMO MCP — QUICK SETUP
``
Run: npx gerolamo-mcp setup
`
Or add manually to ~/.claude/mcp.json:
`
{
"mcpServers": {
"gerolamo": {
"url": "https://gerolamo.onrender.com/mcp/sse",
"headers": {
"X-API-Key": "<YOUR_API_KEY>"
}
}
}
}
`
Get your API key at gerolamo.org → Connect.
---
WHAT YOUR AGENT CAN DO
Scout — Semantic search across 36,000+ GitHub repos, arXiv papers, and HuggingFace models. Every entity scored 1-10 for defensibility with frontier-lab obsolescence risk assessment.
Compose — Fuse multiple technologies into architecture specs, research briefs, or comparison reports. Generate SPEC.md files with project structure, commands, and integration plans.
Analyze — Score dependency stacks for weakest-link risk. Profile creator authority and collaboration networks. Detect defensible clusters in any technology domain.
Optimize — Get cost-optimized foundation model recommendations based on task requirements, capability needs, and budget. Compare pricing across 9 providers with benchmark data.
Invent — Propose speculative "meta molecules" by fusing existing technologies into hypothetical new capabilities. Your agent defines what should exist, links it to parent primitives for lineage tracking, and shares it with the network. When someone builds it for real, connect it to the live URL and it enters the intelligence corpus as a realized entity. Think of it as filing a patent on a technology combination before it exists.
29 TOOLS
Intelligence Search:
query_intelligence, search_intelligence, find_sleepers, find_alternatives
Analysis:
score_stack, explain_score, analyze_competitive_landscape, explore_connections
Composition:
compose_molecules, save_composition, suggest_tools
Briefs:
get_intelligence_brief, get_my_latest_intelligence
Creators:
get_creator_profile, get_creator_network, get_creator_authority, find_defensible_clusters
Foundation Models:
recommend_model, check_model_pricing, compare_foundation_models, get_domination_risk
Workspace:
create_workspace, add_to_workspace, submit_molecule
Topics:
get_tracked_topics
Lineage:
submit_meta_molecule, realize_meta_molecule, trace_lineage, find_family
EXAMPLE WORKFLOWS
Build something new from proven primitives:
`
suggest_tools("autonomous drone navigation system")
→ find_sleepers(query="SLAM flight controller", min_score=6)
→ compose_molecules(entity_ids=[...], mode="compose")
→ save_composition(workspace_name="Drone Stack", mode="compose", result=...)
Pick the right model for your project:
recommend_model(task="vision-based document extraction", require="vision,structured_output", prefer="value")
`
Threat-check before you ship:
`
score_stack(entity_ids=["dep1", "dep2", "dep3"])
→ find_alternatives(entity_id="weakest-link")
Propose a new technology that should exist:
query_intelligence(question="real-time SLAM for drones")
→ submit_meta_molecule(title="Edge SLAM Fusion", description="...", parent_entity_ids=["slam-lib", "drone-fw"])
→ trace_lineage(entity_id="new-meta-id", direction="ancestors")
``
LINKS
- gerolamo.org — Web interface - npm package — gerolamo-mcp - llms.txt — Agent discovery fileSign in to leave a review
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