AgentRadar: Agent & MCP Discovery

Scans new agents and MCP tools, compares capabilities to help devs choose fast

Problem

The agent and MCP ecosystem is exploding, but tools lack standardization. Developers waste hours browsing GitHub, Product Hunt, and Twitter to learn what's new and how capabilities compare, making it hard to pick the right one.

Solution

Aggregates newly released agent/MCP tools across platforms, auto-extracts core attributes (local support, dependency size, supported models, use cases), generates comparison cards and a subscribable weekly digest; supports tag filtering.

Users

AI app developers, tech selection leads, indie developers

MVP

Crawl GitHub/HN/Product Hunt for new agent and MCP projects; auto-extract key attributes from READMEs; generate comparison table; email weekly digest; basic search and tag filtering

Revenue

Free basic listing; subscription for advanced features (deep comparison, API, team sharing, competitor monitoring); sponsored listings

Why now

Agent ecosystem exploded but lacks directories and standards, making selection costly; crawling and LLM extraction are mature for indie devs