Warp — Developer Documentation & Integration

Access & interfaces:

API: Available for programmatic access and automation pipelines.
CLI: Command-line interface for scripting and CI/CD integration.
SDK: Embed Warp capabilities directly into your own tooling.
MCP (Model Context Protocol): Built-in MCP support for standardized agent-to-tool communication.

Model configuration: Warp supports multiple model providers out of the box — OpenAI, Anthropic, z.ai, and others — and allows teams to bring their own model (BYOM), enabling use of private, fine-tuned, or on-premises LLMs.

Self-hosting: Warp can be deployed in your own VPC, giving your team full control over data residency, network boundaries, and security posture. Enterprise-grade governance and security controls are included.

Factories-as-code: Automated SDLC workflows are defined as code, making them versionable, reviewable, and portable across environments.

Evals & benchmarks: Built-in self-improvement loops allow agent performance to be measured against custom benchmarks and iteratively refined.

Integrations list: Slack, Linear, Jira, GitHub, GitLab, Microsoft Teams, MCP, Claude Code, Codex, Cursor.

Open source: Source code is publicly available on GitHub (65,364 stars).