Air MCP

Connecting a tool takes a few clicks from the integrations page rather than writing a client from scratch. Listed options include Gmail, Slack, GitHub, Google Sheets, Google Drive, Google Calendar, Notion, and Discord, with the catalog spread across communication, productivity, storage, and development. That spread means most everyday assistant tasks already have a matching connector.

Every connected tool answers to one endpoint, so your code talks to AirMCP instead of a different API per service. This removes the chore of tracking separate SDKs, tokens, and response formats across tools. It's the core of the pitch: add a provider on the dashboard, and the model reaches it through the same call pattern it already uses.

AirMCP stores your API keys and OAuth tokens encrypted, and it says requests are protected in transit as well. Access to each provider runs through that provider's own OAuth flow, so you approve exactly what AirMCP can touch. For teams that worried about handing a model broad account access, this keeps the grant visible and revocable.

A built-in dashboard tracks your API usage and performance metrics across the tools you've connected. You can see how many tool calls have run and where the traffic goes, which matters most when you're working against a monthly cap. The free tier includes basic monitoring, and the Pro tier adds more detail.

An in-app chat lets you try connected tools with plain-language prompts before you wire anything into code. It's a quick way to confirm a provider is reachable and behaving the way you expect. For anyone testing an integration, this shortens the loop between setup and a first working call.

AirMCP works with any LLM that supports function calling or tool use, including OpenAI's GPT models, Anthropic's Claude, and open-source options like Llama. You aren't locked to one vendor's stack, so switching models doesn't force you to rebuild the connection layer. That flexibility is worth having if you're still deciding which model fits your product.