Summary
The Model Context Protocol (MCP), authored by the eLLMo AI Protocols Team, is a JSON-RPC 2.0-based standard for negotiating capabilities and exchanging structured messages between AI clients (like agentic runtimes) and servers (such as brand gateways) in agentic commerce. MCP enables exposure and invocation of tools (actions), resources (artifacts), and prompts (templates), supporting features like virtual file roots, LLM sampling, and schema-driven elicitation, all while being transport-agnostic (HTTP, WebSocket, stdio). While MCP does not define commerce semantics (like catalogs or orders), it provides a clean, auditable interface for exposing these via tools and resources, and aligns with eLLMo AI’s commitment to protocol plurality and seamless, no-replatforming integration. The guide includes implementation checklists, best practices, and integration guidance to ensure secure, observable, and robust deployments for engineering and product teams. For further details, visit the MCP Protocol Hub or contact the eLLMo AI Protocols Team.
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What is MCP in one sentence?
* MCP is a JSON-RPC based protocol that standardizes capability negotiation and feature exposure (tools, resources, prompts; roots, sampling, elicitation) between AI clients and servers. -
Does MCP define orders or catalogs?
* No; MCP exposes these via tools, resources, and prompts, while commerce semantics are implemented through complementary protocols like UCP and ACP. -
Which transport should I use?
* MCP is transport-agnostic; HTTP(s) or WebSocket are recommended for services, while stdio is common for local processes. -
Which schema dialect should I target?
* Default to JSON Schema 2020-12 unless another dialect is explicitly declared. -
How does eLLMo AI help with MCP?
* eLLMo AI maps your existing stack to MCP (and related protocols like UCP, ACP, A2A) via a translation layer, enforces policy guardrails, and distributes verified knowledge without requiring replatforming.

