About
One API Call to Find Any Tool for Any Agent
ServAgent is an AI agent tool discovery platform. Unlike static registries that depend on community submissions, ServAgent auto-crawls GitHub and generates missing tools on the fly — so your agent never hits a dead end.
Why We Built This
AI agents are only as powerful as the tools they can access. The bottleneck isn't model intelligence — it's tool discovery. When an agent needs to send an email, query a database, or call an external API, it has to figure out what tool to use and how to call it. That lookup has to be fast, accurate, and protocol-agnostic.
Existing registries depend on developers manually submitting their tools. That creates coverage gaps, stale listings, and zero guarantee that the tool your agent needs is actually there. ServAgent solves this with a three-tier fallback: search the index first, crawl GitHub for new options if nothing scores well, and generate a working implementation from free public APIs as a last resort.
The result: 4,658 real tools, 97% recommendation accuracy on a 100-task benchmark, and a registry that grows automatically with every query.
How We Build
Never Returns Empty
A tool registry that says "not found" is useless to an agent. ServAgent auto-crawls GitHub and generates tools from public APIs so agents always move forward.
Measured, Not Claimed
Every metric on this site comes from a reproducible test. 97% recommendation accuracy is from a 100-task keyword benchmark — the scripts are in the open-source repo.
Works With Everything
MCP, OpenAI function calling, Anthropic tool use, Google Agent protocol — one registry, all frameworks. No vendor lock-in.
Zero Latency Overhead
The pipeline adds a multi-level cache in front of the registry. Repeated queries are served in microseconds, not milliseconds.