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Gemini Tool-Use Training: 350+ Service Simulations (MCP)

2025
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Created near-exact simulations of 350+ third-party services as MCP servers to train Gemini tool-use, replicating auth flows, endpoints, and edge cases.

Built evaluation harnesses and golden test flows to iterate on reliability and reduce integration brittleness.

Utilized ChromaDB and embeddings for semantic grounding on certain services, designed compact, efficient schemas.

Composed multi-step LLM chains to coordinate actions across services with guardrails, retries, and robust error handling.

Impact

  • Higher task success rate across integrations, improved reliability and coverage

Stack

MCP ServersChromaDBEmbeddingsLLM chainingLLMsPythonAgentic AIAI BotsAI AutomationUnit TestingPytestGitJiraScrumCursorSlackVS CodeDocker