MCP Integration Hub

MayariAI is the first AI workspace with a built-in 5-layer Model Context Protocol (MCP) platform. Browse a curated catalog of MCP servers from Smithery and OpenTools, connect them with a single click, and build automated workflows that end with a usable PDF, document, or CMS draft.

What is MCP?

The Model Context Protocol (MCP) is an open standard that enables AI models to securely connect to external data sources and tools. MayariAI implements MCP across 5 architectural layers: Registry, Connection, Trust & Policy, Orchestration, and Artifacts.

5-Layer MCP Architecture

Layer 1 (Registry) discovers and normalises MCP servers from Smithery, OpenTools, and direct endpoints into a unified catalog. Layer 2 (Connection) establishes secure, server-side connections with OAuth, API key, and direct endpoint support. Layer 3 (Trust & Policy) scores each server and enforces approval policies for high-risk actions. Layer 4 (Orchestration) plans, dry-runs, and executes multi-step workflows. Layer 5 (Artifacts) converts outputs into PDF, DOCX, CSV, CMS drafts, and JSON.

Supported MCP Servers

Connect official MCP servers like GitHub, Brave Search, Filesystem, Puppeteer, Fetch, and PostgreSQL. Also supports Smithery-curated servers (Exa Search, Notion, Slack) and OpenTools servers (Linear, Jira, Google Drive, HubSpot).

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