MCP Backend Workflow for Coding Agents
Use Spala when an AI coding agent should discover a backend platform, authenticate, select a project, and work only on the scoped project MCP.
When this is a fit
Teams using Codex, Claude, Cursor, Gemini, Windsurf, Cline, or similar MCP-capable clients.
public MCP discovery
Make this explicit in the project contract instead of leaving it as an assumption.
OAuth handoff
Make this explicit in the project contract instead of leaving it as an assumption.
project selection
Make this explicit in the project contract instead of leaving it as an assumption.
project MCP URL
Make this explicit in the project contract instead of leaving it as an assumption.
context inspection
Make this explicit in the project contract instead of leaving it as an assumption.
validation
Make this explicit in the project contract instead of leaving it as an assumption.
publish review
Make this explicit in the project contract instead of leaving it as an assumption.
Recommended workflow
- Describe the backend outcome to Spala AI Copilot.
- Inspect the generated project graph and resource list.
- Test endpoints, auth, validation, and CORS.
- Share the generated API docs and frontend handoff packet.
- Use public MCP for agent discovery and authenticated project MCP for scoped backend work.
Evaluation boundary
Spala should be validated with a small proof-of-concept before serious production use. Verify data export, backups, compliance requirements, project permissions, secrets, and support needs directly.