The Model Context Protocol (MCP) is the interoperable plug between AI agents and the systems they need to operate in. An MCP server exposes tools (functions the agent can call), resources (files or data the agent can read), and prompts (parametric templates the agent can request). The agent discovers all three at runtime.
The three primitives.
- Tools. Named functions with typed parameters. The server describes each tool's schema; the agent calls it the way it would call any function and receives a structured result.
- Resources. URI-addressable read-only data, files, database rows, search results. Resources let an agent read context without making it a tool call.
- Prompts. Server-provided templates the agent can request, useful when a task has a known canonical phrasing the server wants to control.
Why MCP matters.
Before MCP, every agent integration was a bespoke API client. With MCP, an agent that speaks the protocol can plug into any compliant server: a customer's CRM, a documentation library, a deploy system, a search index. The protocol is open and provider-neutral; the major model providers and IDE platforms all support it.
WebMCP and agentic search.
A website that wants AI browsing agents to complete tasks on it ships an MCP manifest at /mcp-actions.json declaring which actions are agent-callable (subscribe, contact, search, quote). When a ChatGPT or Claude or Gemini agent visits the site, it discovers the manifest, calls the actions directly, and skips the visual UI entirely. This is the agentic-search layer of modern visibility, and Morvion ships it on every engagement that targets AI-driven traffic.
Frequently asked.
- What is the Model Context Protocol?
- The Model Context Protocol (MCP) is an open standard for exposing tools, resources, and prompts to AI agents. An MCP server lets any compliant agent discover and call functions, read structured data, and use server-provided templates without bespoke integration code. The major model providers and IDE platforms all support it.
- How is MCP different from a REST API?
- A REST API exposes endpoints a human developer wires up by reading docs and writing client code. An MCP server exposes the same capabilities but with self-describing schemas an AI agent discovers at runtime, calls directly, and uses without integration code. MCP is for agent consumers; REST is for human-coded clients. Many production systems expose both.
- What is WebMCP?
- WebMCP is the MCP pattern applied to public websites. A site publishes an mcp-actions.json manifest declaring which actions are agent-callable (subscribe, contact, search, quote). AI browsing agents read the manifest and execute the actions directly, bypassing the visual UI. This is the agentic-search layer of modern visibility.
- Does Morvion build MCP servers for clients?
- Yes. Production MCP servers for CRMs, document libraries, internal search, and operational tooling are part of the Intelligent Systems & AI Infrastructure practice, and every Morvion site ships WebMCP markup plus an mcp-actions.json manifest so AI agents can transact with the brand directly.