Swytchcode sits between every AI agent and your production APIs: one policy-checked path to authenticate, execute, and record what ran.
The enterprise problem
As agents move from demos into production, integration logic fragments across teams, with no consistent execution boundary.
Secrets and token handling spread across agent code, wrappers, and environments.
Each team defines permissions and safeguards differently, or leaves them in prompts.
Blind retries and partial failures can duplicate side effects or create false success.
Teams struggle to reconstruct what an agent requested, what ran, and why.
One execution boundary
Credentials stay out of agent code and model context. One controlled path to every API.
Swytchcode decides whether a requested action is allowed, needs approval, or gets blocked.
Retries, idempotency, and schema validation live at the runtime layer, not in every agent.
See what was requested, the policy decision, what executed, and what came back.
How teams use Swytchcode
Own the policy manifest and approval workflow once, enforced identically for every agent.
Call approved integrations from CLI, MCP, or SDK without building auth or retries per project.
Pull structured execution records for any agent action without instrumenting each application.
Built for your architecture
Use the runtime through the CLI, native MCP, or a JavaScript and Python SDK, across 2,000+ APIs.
CLI runtime · Native MCP · JavaScript & Python SDKs
FAQ
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Custom execution limits, SSO, dedicated support, SLAs, and on-premise options, scoped to your agent teams.