Metorial

Authenticated toolkits that give AI agents access to SaaS apps, via MCP or API.

Tool layer that gives AI agents secure, managed access to 1000+ toolkits and 20,000+ tools across SaaS apps, exposed via MCP or direct APIs. It handles authentication, tool search, and context management, and its MCP Gateway hands each team a managed endpoint to paste into Claude, Cursor, or ChatGPT. The core is MIT-licensed; a free tier covers 20K tool calls per month.

Integration platform to connect AI agents and products to 800+ external APIs.

Nango is an integration platform for building and running product and agent integrations across 800+ APIs. You write integration logic as TypeScript—or let AI generate it—and deploy to Nango's runtime, which handles auth, execution, scaling, and observability. AI agents consume those integrations through an MCP server, tool calls, webhooks, and data syncs. It runs as managed cloud or self-hosted.

Registry and hosting platform for Model Context Protocol servers.

A central hub for the MCP ecosystem: browse, install, and configure thousands of community-built MCP servers from one place, or deploy your own to Smithery's infrastructure and access it remotely. The CLI installs and manages servers without hand-editing JSON config, and the hosted tier adds managed OAuth and persistent connections so agents get authenticated tool access. Lists over 6,000 servers across developer tools, data connectors, and productivity integrations.

MCP integrations and live environments for AI agents.

Klavis AI is an open-source layer of Model Context Protocol (MCP) servers and clients that lets AI agents reliably use external tools like GitHub, Gmail, Google Sheets, Jira, and Slack. It handles OAuth and multi-tenant auth, ships hosted servers plus self-hostable images, and has expanded into managed sandbox environments for training and evaluating long-horizon agents. Teams can call the hosted endpoints or run the open-source servers on their own infra.