Genome Industrial Intelligence

io.github.rdcahalanePublished by GitHub account rdcahalanev0.1.0Updated Oct 25, 2026

Industrial intelligence for AI agents. Conviction scores and diligence for 10,000+ industrials.

VerifiedStreamable HTTPWeb executableFinance

Overview

AI-generated overview

A remote or local MCP server offering industrial intelligence to AI assistants, with conviction scores and diligence material for over 10,000 industrial-sector.

What you can do
Provides industrial intelligence for AI agents, covering a large set of industrial companies and sectors. Supplies conviction scores and diligence information for more than 10,000 industrials. No individual tools are documented, so the exact queries and outputs are not specified.
When to use it
Useful when an assistant needs quick reference data on industrial companies, such as conviction scores or diligence context, rather than general web research.
Requirements
Runs either as a remote streamable HTTP endpoint or as a local Python package installed from PyPI over stdio. No authentication, environment variables or headers are declared.
Before you install
The provider declares no authentication, so consider what data you send to the remote endpoint. The tool list is undocumented, so verify what it can read or change before relying on it. Scores and diligence data are third-party and should be checked before decisions.

Installation

In SourceWeft

  1. Open Genome Industrial Intelligence in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.rdcahalane%2Fgenome-industrial-intelligence/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "genome-industrial-intelligence": {
      "type": "http",
      "url": "https://genome-api-production.up.railway.app/mcp"
    }
  }
}

Tools

0
SourceWeft has not read this server's tools yet.

Version history

1
  1. v0.1.0LatestSep 16, 2026

Score

60% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • License10 pts

    Declare a license in the repository or the registry entry.