The MCP definition buyers should know
Model Context Protocol is an open protocol for exposing tools, resources, and prompts to AI applications in a consistent way. In practical terms, MCP helps an agent discover what it can do without every tool needing a custom integration.
Anthropic introduced MCP in November 2024, and the official specification describes core primitives such as resources for context, prompts for reusable instructions, and tools for actions the model can request.
Why MCP is useful inside a harness
A harness can use MCP servers to connect to databases, browsers, files, CRMs, commerce systems, research tools, and internal services. That turns the harness from a chat surface into an operating layer.
The advantage is standardization. The risk is over-permission. A badly scoped MCP server can expose too many actions, too much data, or unsafe side effects.
The implementation checklist
Start with read-only tools. Add write actions only after the workflow has approval gates, logging, and rollback plans. Keep server names specific, write tool descriptions that match real behavior, and document which actions are allowed without human review.
For ClawCurrent kits, MCP compatibility should mean more than 'it connects.' It should mean the agent can call a small set of task-specific tools, produce explainable outputs, and stop before publishing, spending, or changing live systems.
FAQ
Does MCP replace APIs?
No. MCP often sits above APIs and gives agents a standardized way to discover and call selected capabilities.
Should every business kit use MCP?
Not always. Simple kits can start with files and prompts. MCP becomes valuable when the workflow needs live tools, data, or controlled actions.
Sources and further reading
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