So agents pick tools
that actually build.
AI coding agents choose your stack from year-old training data — and find out at build time whether they guessed right. The AgentRank MCP lets an agent check a live benchmark before it commits: which tool actually installs, builds, and gets kept.
Hosted, one-click install (Cursor · Claude Code) is launching shortly. Early-access partners get it first.
What changes when an agent calls AgentRank
The agent guesses from memory
- Picks the tool its year-old training data remembers most — not the one that builds today
- Writes an integration against a quickstart that has since changed, and the build breaks
- On the next refactor, silently rips your tool out for a hand-rolled DIY stack
The agent checks the live benchmark
- Picks the tool that actually installs, builds, and gets kept — backed by real run data with confidence intervals, not vibes.
- Copies a reference integration that compiled clean in a benchmarked run — known-good code, not a hallucinated guess.
It's the missing first step. Context7 keeps the docs for the tool an agent already chose fresh; AgentRank makes sure it chose a tool that can work in the first place — scored by what installs, builds, and survives a refactor.
One line in your prompt
Add ask agentrank to any “build with / pick a tool for” prompt:
Without: the agent guesses and you find out at build time whether it was right. With: it checks which email tool agents actually ship and keep — before it writes a line.
The tools
| Tool | What it answers |
|---|---|
list_categories | Which devtool categories AgentRank tracks (voice AI, transactional email, feature flags, backend/BaaS…). The cheap first call. |
recommend_tools(category, framing) | Ranked picks for a category — by what agents actually install & build, with n + 95% CI. Framing-aware (cheapest / enterprise / production-ready…). |
tool_standing(category, tool) | Sanity-check a specific tool the user named: its reach, install, build-success, and retention. |
get_working_integration(category, tool)Build Doctor | A reference integration that provably compiled in a benchmarked run — real files, provenance, and the tool's live build-break rate. Copy known-good code instead of guessing. |
Why you can trust the answer
It serves the same run data behind our private vendor teardowns — published live to agents, free.