GUIDE · RESEARCH · #403
Cohere Labs publishes Agentic Task Ecosystem (ATE)—~696K MCP tools aggregated into a dataset
Cohere Labs aggregated seven public AI-tool directories to create the Agentic Task Ecosystem (ATE), a corpus of roughly 696,000 published tools across 123,000 MCP servers. Under a strict test of whether a tool can actually carry out an occupational task, only 2.6% of tools qualify; 419 of 923 U.S. occupations show no agentic-tool activity, and patterns show tools mainly (1) represent existing work at finer grain, (2) provide agent infrastructure, or (3) create a small amount of new work (mostly agent management), with expert judgments of technical feasibility predicting which occupations receive tools.
KEY POINTS
- Cohere Labs aggregated seven public AI-tool directories to create the Agentic Task Ecosystem (ATE), a corpus of roughly 696,000 published tools across 123,000 MCP servers.
- Under a strict test of whether a tool can actually carry out an occupational task, only 2.6% of tools qualify; 419 of 923 U.S.
- occupations show no agentic-tool activity, and patterns show tools mainly (1) represent existing work at finer grain, (2) provide agent infrastructure, or (3) create a small amount of new work (mostly agent management), with expert judgments of technical feasibility predicting which occupations receive tools.
WHY IT MATTERS
ATE provides a large supply‑side signal of what developers have packaged as fully automatable tasks, constraining and complementing exposure and usage estimates used to assess AI’s labor impacts.