
Toucan
Synthesizing 1.5M Tool-Agentic Data from Real-World MCP Environments
Toucan-1.5M is the largest fully synthetic tool-agent dataset to date, designed to advance tool use in agentic LLMs. It comprises over 1.5 million trajectories synthesized from 495 real-world Model Context Protocols (MCPs) spanning 2,000+ tools. By leveraging authentic MCP environments, Toucan-1.5M generates diverse, realistic, and challenging tasks requires using multiple tools, with trajectories involving real tool executions across multi-round, multi-turn, sequential, and parallel tool calls. Models fine-tuned on Toucan-1.5M outperform much larger closed-source counterparts on the BFCL V3 benchmark and extend the Pareto frontier on the MCP-Universe benchmark.
- 📄 Technical Report - Technical details behind Toucan-1.5M
- 💾 Github Repo - Pipeline to produce Toucan-1.5M
- 🤗 HF Dataset - Full dataset






