apifyforge/omega-point-convergence-mcp
Technology convergence prediction is the primary use case for this MCP server — it analyses when and how separate technology domains will merge into unified frameworks, using data from 16 simultaneous sources.
Platform-specific configuration:
{
"mcpServers": {
"omega-point-convergence-mcp": {
"command": "npx",
"args": [
"-y",
"omega-point-convergence-mcp"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
> [View on ApifyForge](https://apifyforge.com/actors/mcp-servers/omega-point-convergence-mcp) | [Use on Apify Store](https://apify.com/ryanclinton/omega-point-convergence-mcp)
---
Add to your MCP client (Claude Desktop, Cursor, Windsurf):
{
"mcpServers": {
"omega-point-convergence-mcp": {
"url": "https://ryanclinton--omega-point-convergence-mcp.apify.actor/mcp"
}
}
}---
Technology convergence prediction is the primary use case for this MCP server — it analyses when and how separate technology domains will merge into unified frameworks, using data from 16 simultaneous sources. Designed for technology strategists, R&D leaders, and venture investors who need rigorous, quantitative answers to questions like "Is AI convergence with biotech inevitable, and when?" The server delivers topological, geometric, and stochastic evidence synthesised into a probability estimate and timeline — not heuristics or survey data.
This MCP server runs on the Apify platform in Standby mode and is accessible via any MCP-compatible client at a permanent URL. It orchestrates 16 Apify actors spanning patent offices, academic databases, developer ecosystems, financial markets, government grants, and clinical registries — gathering evidence in parallel before applying eight independent mathematical algorithms to model the innovation landscape. The result is a structured JSON response usable directly in Claude, Cursor, or any LLM-based workflow.
| Data Point | Source | Example | |---|---|---| | 📄 US patent filings, IPC/CPC codes, forward citations | USPTO Patents | patent_number: US11234567B2, ipcCodes: ["G06N3/04"] | | 📄 European patent publications and classifications | EPO Patents | publicationNumber: EP4123456A1, classifications: ["H04L9/06"] | | 📚 Academic papers, concept embeddings, citation counts | OpenAlex | `doi: 10.1038/s41586-023-06060-z, citationCo
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