Scalekit

Founded by Satya Devarakonda in 2024

Handle OAuth, token storage, and scoped permissions for AI agents

Cost

Free Tier

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Scalekit to add authentication and authorization to AI agents so they can act on behalf of real users instead of shared service accounts. It handles OAuth flows, stores tokens in an encrypted vault, and scopes permissions per tool call. It connects to 500+ pre-built connectors and 8000+ actions across apps like Salesforce, Gmail, Slack, and GitHub. You get full audit logs showing who authorized each call, which agent ran it, and what happened.

What Scalekit does

Handle OAuth consent flows and token refresh for third-party app connectionsStore user credentials in isolated, encrypted per-tenant token vaultsScope and enforce permissions on each individual tool call an agent makesLog every agent action with full attribution to a user, agent, tool, and scopeProxy tool calls through a single MCP endpoint that injects the correct token automaticallyAdd SSO and SCIM to a multi-tenant SaaS applicationDefine and register custom connectors with their own auth patterns and tool schemasExport audit logs to SIEM systems like Datadog or SplunkStores OAuth tokens in an AES-256 encrypted vault so credentials never enter agent context or model memoryScopes permissions per individual tool call rather than per agent500+ pre-built connectors and 8000+ callable actions across popular apps and APIsFull delegation chain audit logs exportable to Datadog, Splunk, or any SIEMOne MCP proxy handles token injection, the tool call, and the structured responseSupports custom connectors by letting you define auth patterns and tool schemasMulti-region deployment with 99.99% uptime and data residency enforcementWorks with LangChain, Google ADK, Anthropic, OpenAI, Vercel AI, and Mastra out of the box