Prowpt.ai MCP Server

MCP (Model Context Protocol) server that lets AI agents create, edit, and publish web apps on Prowpt.ai.

Setup

1. Get an API key

Go to prowpt.ai/settings → API Keys → Create a new key with the scopes you need.

2. Install

pip install prowpt-mcp-server
# or
pipx install prowpt-mcp-server

3. Configure your AI tool

Cursor (.cursor/mcp.json):

{
  "mcpServers": {
    "prowpt": {
      "command": "prowpt-mcp",
      "env": {
        "PROWPT_API_KEY": "pk_live_your_key_here"
      }
    }
  }
}

Claude Code:

export PROWPT_API_KEY="pk_live_your_key_here"
prowpt-mcp

Environment variables:

Transports

The server supports two transports:

stdio (default)

Used by local IDEs like Cursor and Claude Code. The CLI authenticates with the PROWPT_API_KEY environment variable and speaks MCP over stdin/stdout.

prowpt-mcp                    # reads PROWPT_API_KEY from env
prowpt-mcp --api-key pk_...   # or pass explicitly

Streamable HTTP (remote)

Used by public connectors (Claude.ai custom servers, ChatGPT Apps, etc.). The server listens on an HTTP endpoint at /mcp; every request must carry an Authorization: Bearer <token> header. The token is either a Prowpt API key (pk_live_...) or — once the Prowpt OAuth AS is live — a JWT issued by https://prowpt.ai/oauth/*. Tokens are forwarded verbatim to the Prowpt REST API, which owns all scope/rate-limit enforcement.

pip install "prowpt-mcp-server[http]"
prowpt-mcp --transport http --bind 0.0.0.0:8001

Useful flags:

The server also exposes GET /healthz for liveness probes. Unauthenticated requests return 401 with a WWW-Authenticate: Bearer challenge pointing at the OAuth protected-resource metadata URL, so MCP clients can auto-discover the authorisation server.

OAuth-issued tokens (used by Claude.ai and ChatGPT directory connectors) are short-lived JWTs backed by an api_keys row with origin='oauth'. Each connector key carries a default rate limit of 20 requests per minute and a 25-credit per-UTC-day spend cap for credit-consuming actions (send_prompt, /api/generate/*). Users can revoke any connection from Settings → API Keys in the Prowpt web app.

Getting Started

After installation, the recommended first step for any code-generation task is to fetch the project context:

get_project_context(project_id=123)

This returns the full conventions, available record types, templates, i18n state, enabled packages, and subscription info for the project — everything the agent needs to write correct, Prowpt-compliant code.

The server also exposes two static resources that agents can read at any time:

Available Tools

Project Management

• list_projects — List all projects
• get_project — Get project details
• get_project_context — Get full project context for writing correct code (stack, conventions, record types, templates, i18n state)
• create_project — Create a new app
• update_project — Update project settings
• delete_project — Delete a project
• clone_project — Clone a project
• publish_project — Publish to live
• deploy_project — Deploy to hosting

Source Code

• list_source_files — List files in a project
• read_source_file — Read a file's content
• write_source_files — Write/update files
• get_preview_url — Get preview URL
• get_source_versions — Version history
• restore_source_version — Restore a version

AI Assistant (uses Prowpt credits)

• send_prompt — Send instruction to Prowpt AI. Transport-aware: on stdio (Cursor / Claude Code) it blocks up to 5 minutes and returns the final result; on HTTP (remote connectors with short tool-call timeouts) it returns {run_id, status: "queued"} immediately and the caller polls get_assistant_status(project_id, run_id=...) until the run terminates.
• accept_preview — Accept AI changes
• get_assistant_status — Check generation status. Pass run_id to poll a specific async run (HTTP flow); omit it to fetch the latest active run for the project (stdio flow).

Records & Data

• list_record_types / create_record_type / update_record_type
• list_records / create_record / update_record / delete_record

Workflows

• list_workflows / create_workflow / update_workflow / delete_workflow
• execute_workflow / get_workflow_executions

Packages / Dependencies

• list_catalog — Browse all available npm packages in the platform catalog
• list_project_packages — List packages enabled for a project (with update info)
• add_package — Enable a catalog package for a project
• remove_package — Remove a package from a project

Assets

• list_assets / upload_asset / delete_asset

Translations

• get_translations / update_translations

Email Templates

• list_email_templates — List all templates (system + custom)
• get_email_template — Get a template by slug (full HTML body + variables)
• upsert_email_template — Create or update a template
• delete_email_template — Delete a custom template
• preview_email_template — Render a preview with sample variables
• send_test_email — Send a test email to a given address
• seed_email_templates — Seed factory defaults
• reset_system_templates — Reset system templates to defaults

Payments (Stripe Connect)

• connect_stripe — Start Stripe Connect onboarding for a project
• get_stripe_status — Check Stripe connection status
• disconnect_stripe — Remove Stripe Connect link

Billing

• get_usage / get_credits / purchase_credit_pack / get_account_info

Development

cd prowpt-mcp-server
pip install -e .
prowpt-mcp --api-key pk_live_test_key --api-url http://localhost:8000

License

MIT