What is the Model Context Protocol?
A plain-language introduction to MCP — the standard that lets AI agents call external tools — and what it changes for operational software.
The problem MCP solves
Every AI agent needs to do things: query a database, file a ticket, check a plan against business rules. Before late 2024, every product invented its own way to wire tools into models, and every integration was bespoke — N agents times M tools meant N×M adapters.
The Model Context Protocol (MCP), introduced by Anthropic and adopted rapidly across the ecosystem, standardizes that wiring. A system exposes its capabilities as an MCP server: a set of typed tools with names, descriptions and schemas. Any MCP client — an agent framework, an IDE assistant, a custom orchestrator — can discover those tools and call them. N+M instead of N×M.
What an MCP server actually exposes
Three things, all machine-readable:
- Tools — callable operations with typed inputs and outputs ("evaluate this plan, return per-rule verdicts").
- Resources — readable context the agent can pull in (documents, records).
- Prompts — reusable interaction templates.
The typed schemas matter. The calling model knows exactly what arguments a tool takes and what shape comes back, which makes tool use dramatically more reliable than free-text instructions.
Why this matters for operational software
The deeper consequence: your software's capabilities become available to every agent your company runs, present and future, without custom integration work per agent.
It also changes how specialized systems position themselves. Take verified decision-making: instead of asking a company to replace its home-built agent, a reasoning engine can expose itself as MCP tools — evaluate_plan, parse_rule, query_memory — and the company's existing agent simply gains the ability to prove its decisions before acting. The agent stays; it gets a solver. (This is exactly how Vera's MCP server is designed.)
What to check before trusting an MCP integration
MCP standardizes the plumbing, not the trust model. Three questions worth asking of any MCP server that can take real-world actions:
- Authentication and scoping — can you issue per-client credentials with limited permissions?
- Autonomy limits — are dangerous operations gated server-side, or does the server trust the calling agent's judgment?
- Audit — are tool calls logged with enough detail to reconstruct what happened and why?
A well-designed operational MCP server enforces all three on its own side of the wire — because the calling agent, by definition, is somebody else's probabilistic software.