Exposes local Python tools via a persistent Streamable HTTP endpoint, allowing an OpenAI Agents SDK notebook to discover and invoke them while using Groq for reasoning and tool selection.
Enables autonomous agents and multi-agent frameworks to discover and execute modular, class-based tools over SSE with a standardized response contract.
Enables agents to discover and securely invoke heterogeneous backend tools over unified SSE using JSON-RPC 2.0, with dynamic tool filtering, RBAC, quotas, and audit logging.
Exposes local LM Studio language models as MCP tools, enabling chat completions and model listing through a local OpenAI-compatible API without requiring API keys.