Infocrash launches MCP server for AI-assisted structured data collection and cross-validation
polentx · reddit · 2026-09-10
The author released Infocrash, an MCP server for AI-assisted structured data gathering, targeting a step that consumes 60–70% of their research project time.
Motivation: emerging-tech research data is scattered, stale, and inconsistently labeled. One-shot asks like "fill a dataset of 40 quantum computing startups" yield conflicting claims on funding rounds, headcount, and locations.
Usage: multiple assistants (or agents) contribute to the same dataset and cross-validate data and sources; you can ask your assistant to store findings, check discrepancies, and define collection guidelines. Useful for solo researchers from day one, with team collaboration as the more interesting use case. Open to try in an early version.
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