The Integration Problem
Every business uses dozens of apps: Slack, Gmail, Salesforce, HubSpot, Notion, GitHub, Stripe, Shopify, and more. Connecting an AI agent to all of them used to mean building custom APIs, storing credentials, and maintaining fragile code. The Model Context Protocol (MCP) changes this by creating a single standard.
What MCP Makes Possible
MCP is like a universal adapter for AI tools. Any app that exposes an MCP server can be used by any MCP-compatible client. This means one integration standard for hundreds of tools, instead of hundreds of one-off connectors.
How Crawlii Connects 304+ Apps
- Curated tool registry: 2,289+ workflow-oriented tools across 304+ apps.
- One-click OAuth: Users authenticate securely without sharing passwords.
- Server-side token injection: Credentials never reach the AI model.
- Auto context resolution: AI resolves names to IDs automatically.
Security First
Crawlii follows OWASP MCP guidelines. Tokens are injected server-side, credentials are encrypted, and the AI never sees or stores user secrets. This is critical for enterprise deployments where compliance and data privacy are non-negotiable.
Why This Is the Future
As AI agents become the new interface for work, they need access to all business systems. MCP is becoming the HTTP of agent integrations: a common standard that lets any agent work with any tool. Platforms that adopt MCP early will have a massive advantage.
Frequently Asked Questions
Do I need to build integrations myself?
No. Crawlii provides pre-built MCP servers and managed OAuth for 304+ apps out of the box.
Can I connect custom internal tools?
Yes. You can build your own MCP server and register it on the platform.
Is MCP only for Claude?
No. MCP is an open protocol and can be used with any AI client that supports it.