AI agent access

Let your AI client work with P2HS

The P2HS MCP connector gives an authorized agent a structured way to understand projects, estimate builds, start work and follow progress—while Core keeps workspace access, billing and permissions authoritative.

Endpoint: https://mcp.p2hs.com/mcp

MCP / authorized session
→ list_projects
→ estimate_build
→ start_build
→ get_operation

The client can act on project context without receiving private Core credentials or bypassing P2HS authorization.

What it unlocks

A useful agent surface for the build lifecycle

Use an MCP-compatible client as a planning and delivery partner, with permissions that stay explicit and revocable.

Understand

List accessible projects, inspect project details and review recent build results.

Plan

Estimate the credits a build may use before any execution begins.

Build

Submit an authorized build with prompts and optional reference attachments.

Track

Poll durable operations and keep the client aligned with the current status.

Designed for control

The agent gets a grant. P2HS keeps the policy.

OAuth with PKCE, scoped workspace service accounts, selected-project access, expiry and revocation keep the connection bounded. Mutations use request keys so retries can remain safe and idempotent.

Project-scoped by default

Connections can start with selected-project access and expand only when the workspace owner allows it.

Billing-aware

Build estimates, credit packages and purchase flows are subject to Core authorization and workspace controls.

No private credentials in the client

The gateway talks to the dashboard; private Core hosts and shared administrator credentials stay server-side.

Start with the connection guide

See the endpoint, discovery documents, scopes and the first safe request flow.