Dataroma Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Dataroma Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
A high-performance Model Context Protocol (MCP) server for extracting superinvestor portfolios and financial intelligence from Dataroma.com. This server is compatible with any MCP-enabled AI client, including Claude Desktop, Cursor, Cline, and ZeroClaw.
The recommended way to run this server is using uvx (which acts like npx for Python). This allows you to run it directly from PyPI without manually installing dependencies or cloning the repository.
uvx dataroma-mcpAdd this to your claude_desktop_config.json:
{
"mcpServers": {
"dataroma": {
"command": "uvx",
"args": ["dataroma-mcp"]
}
}
}commanduvxdataroma-mcpAdd to your config.toml:
[[mcp.servers]]
name = "Dataroma"
transport = "stdio"
command = "uvx"
args = ["dataroma-mcp"]Hermes fully supports MCP. You can add the server by running this command in your Hermes terminal:
hermes mcp add dataroma-mcp uvx -- dataroma-mcp(Or, configure it directly in your Hermes MCP settings using the `uvx` command and `dataroma-mcp` argument).
Data sourced from Dataroma.com. This project is for educational and research purposes only.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.