Provides a safe scientific runtime for agents with typed math operations including calculus, algebra, statistics, unit conversion, and more via MCP tools.
Exposes the Adaptyv Foundry protein characterization API as MCP tools, enabling AI assistants to interact with experiments, targets, sequences, and results in natural language.
Enables interaction with the CopaMind platform via MCP, exposing read-only and write tools for querying match predictions, Monte Carlo simulations, team rankings, and RAG-based explanations, all while maintaining full traceability and reproducibility.
Enables scientific literature research through multi-agent search, analysis, and semantic memory, exposing 9 MCP tools for querying, storing, and retrieving research findings.
Enables AI agents to interactively explore PDDL planning problems by exposing a PDDL engine as MCP tools for initialization, action execution, state inspection, and goal checking.