diff --git a/README.md b/README.md index 735c5780a..d149333fa 100644 --- a/README.md +++ b/README.md @@ -103,6 +103,32 @@ docker-compose up -d --build The app will be up and running at http://localhost:5173. Note that you can't develop the application with this setup, as file changes won't trigger a rebuild. +## MCP (Astron Agent and other clients) + +The backend includes an optional Streamable HTTP MCP server that exposes one +`generate_code_from_screenshot` tool. It uses the same prompt, model selection, +and agentic generation stages as the web app, but generates one variant per tool +call to keep latency and model cost bounded. + +Install the optional dependency group and start the server: + +```bash +cd backend +poetry install --with mcp +poetry run python mcp_server.py +``` + +Connect an MCP client to `http://127.0.0.1:8000/mcp`. Configure the model +provider keys in `backend/.env` just as you would for the web app. The tool +accepts a screenshot path on the MCP server host and supports every stack in +the web app. Image generation and asset extraction are opt-in tool arguments +because they can require additional provider credentials. + +Set `SCREENSHOT_TO_CODE_MCP_PORT` to change the default port. The server +intentionally binds to loopback because it has no authentication. A remote +deployment should add MCP transport security and authentication rather than +exposing this development entry point directly. + ## 🙋‍♂️ FAQs - **I'm running into an error when setting up the backend. How can I fix it?** [Try this](https://github.com/abi/screenshot-to-code/issues/3#issuecomment-1814777959). If that still doesn't work, open an issue. diff --git a/backend/agent/providers/gemini.py b/backend/agent/providers/gemini.py index 69a38be02..c96aa6f18 100644 --- a/backend/agent/providers/gemini.py +++ b/backend/agent/providers/gemini.py @@ -328,7 +328,9 @@ async def stream_turn(self, on_event: EventSink) -> ProviderTurn: thinking_level=cast(Any, thinking_level), include_thoughts=True, ), - tools=self._tools, + # google-genai widens this to include MCP tools when the optional + # MCP SDK is installed. The runtime value remains Gemini Tool objects. + tools=cast(Any, self._tools), ) request_payload = { diff --git a/backend/mcp_server.py b/backend/mcp_server.py new file mode 100644 index 000000000..10417d664 --- /dev/null +++ b/backend/mcp_server.py @@ -0,0 +1,221 @@ +"""Streamable HTTP MCP server for screenshot-to-code generation.""" + +from __future__ import annotations + +import base64 +import os +from pathlib import Path +from typing import Any + +from dotenv import load_dotenv + +load_dotenv() + +from mcp.server import MCPServer +from PIL import Image, UnidentifiedImageError + +from prompts.prompt_types import Stack +from routes.generate_code import ( + AgenticGenerationStage, + MessageType, + ModelSelectionStage, + ParameterExtractionStage, + PromptCreationStage, +) + + +MAX_SCREENSHOT_BYTES = 20 * 1024 * 1024 +MAX_INSTRUCTIONS_LENGTH = 4_000 +MAX_DESIGN_SYSTEM_LENGTH = 20_000 + + +class McpGenerationError(RuntimeError): + """A safe error that can be returned to an MCP client.""" + + +def _mcp_port() -> int: + value = os.environ.get("SCREENSHOT_TO_CODE_MCP_PORT", "8000") + try: + port = int(value) + except ValueError as exc: + raise RuntimeError("SCREENSHOT_TO_CODE_MCP_PORT must be an integer") from exc + if not 1 <= port <= 65535: + raise RuntimeError("SCREENSHOT_TO_CODE_MCP_PORT must be between 1 and 65535") + return port + + +mcp = MCPServer( + "Screenshot to Code", + instructions=( + "Turn a local UI screenshot into one generated frontend code variant. " + "The screenshot path is resolved on the MCP server host." + ), +) + + +def screenshot_data_url(image_path: str) -> str: + """Read and validate a local raster screenshot as a data URL.""" + try: + path = Path(image_path).expanduser().resolve(strict=True) + except (OSError, RuntimeError) as exc: + raise McpGenerationError(f"Screenshot not found: {image_path}") from exc + if not path.is_file(): + raise McpGenerationError(f"Screenshot is not a file: {image_path}") + + try: + size = path.stat().st_size + except OSError as exc: + raise McpGenerationError(f"Could not read screenshot metadata: {exc}") from exc + if size == 0: + raise McpGenerationError("Screenshot is empty") + if size > MAX_SCREENSHOT_BYTES: + raise McpGenerationError( + f"Screenshot exceeds the {MAX_SCREENSHOT_BYTES // (1024 * 1024)} MiB limit" + ) + + try: + with Image.open(path) as image: + image.verify() + mime_type = Image.MIME.get(image.format or "") + raw = path.read_bytes() + except (OSError, UnidentifiedImageError) as exc: + raise McpGenerationError("Screenshot is not a valid raster image") from exc + if mime_type not in {"image/png", "image/jpeg", "image/webp", "image/gif"}: + raise McpGenerationError( + "Unsupported screenshot format; use PNG, JPEG, WebP, or GIF" + ) + encoded = base64.b64encode(raw).decode("ascii") + return f"data:{mime_type};base64,{encoded}" + + +def build_generation_params( + data_url: str, + stack: Stack, + instructions: str, + design_system: str | None, + generate_images: bool, + extract_assets: bool, +) -> dict[str, Any]: + normalized_instructions = instructions.strip() + if len(normalized_instructions) > MAX_INSTRUCTIONS_LENGTH: + raise McpGenerationError( + f"Instructions exceed {MAX_INSTRUCTIONS_LENGTH} characters" + ) + normalized_design_system = design_system.strip() if design_system else None + if normalized_design_system and len(normalized_design_system) > MAX_DESIGN_SYSTEM_LENGTH: + raise McpGenerationError( + f"Design system exceeds {MAX_DESIGN_SYSTEM_LENGTH} characters" + ) + + return { + "generationType": "create", + "inputMode": "image", + "generatedCodeConfig": stack, + "prompt": { + "text": normalized_instructions or "Recreate this screenshot accurately.", + "images": [data_url], + "videos": [], + }, + "history": [], + "optionCodes": [], + "isImageGenerationEnabled": generate_images, + "isAssetExtractionEnabled": extract_assets, + "designSystem": normalized_design_system, + } + + +async def generate_single_variant(params: dict[str, Any]) -> dict[str, str]: + """Run one variant through the same stages used by the WebSocket route.""" + + async def raise_generation_error(message: str) -> None: + raise McpGenerationError(message) + + extracted = await ParameterExtractionStage( + raise_generation_error, + asset_base_url="", + ).extract_and_validate(params) + prompt_messages = await PromptCreationStage( + raise_generation_error + ).build_prompt_messages(extracted) + models = await ModelSelectionStage(raise_generation_error).select_models( + generation_type=extracted.generation_type, + input_mode=extracted.input_mode, + openai_api_key=extracted.openai_api_key, + anthropic_api_key=extracted.anthropic_api_key, + gemini_api_key=extracted.gemini_api_key, + ) + model = models[0] + variant_errors: list[str] = [] + + async def capture_event( + type: MessageType, + value: str | None, + variant_index: int, + data: dict[str, Any] | None = None, + event_id: str | None = None, + ) -> None: + del variant_index, data, event_id + if type in {"error", "variantError"} and value: + variant_errors.append(value) + + stage = AgenticGenerationStage( + send_message=capture_event, + openai_api_key=extracted.openai_api_key, + openai_base_url=extracted.openai_base_url, + anthropic_api_key=extracted.anthropic_api_key, + gemini_api_key=extracted.gemini_api_key, + replicate_api_key=extracted.replicate_api_key, + should_generate_images=extracted.should_generate_images, + should_extract_assets=extracted.should_extract_assets, + file_state=extracted.file_state, + asset_base_url=extracted.asset_base_url, + option_codes=extracted.option_codes, + stack=str(extracted.stack), + input_mode=str(extracted.input_mode), + generation_type=extracted.generation_type, + ) + completions = await stage.process_variants([model], prompt_messages) + code = completions.get(0) + if not code: + detail = variant_errors[-1] if variant_errors else "generation returned no code" + raise McpGenerationError(f"Screenshot generation failed: {detail}") + return {"code": code, "model": model.value, "stack": extracted.stack} + + +async def generate_code_from_screenshot( + image_path: str, + stack: Stack = "html_tailwind", + instructions: str = "", + design_system: str | None = None, + generate_images: bool = False, + extract_assets: bool = False, +) -> dict[str, str]: + """Generate one frontend code variant from a local screenshot. + + Configure at least one model provider key in backend/.env. The image path is + resolved on the MCP server host. Image generation and asset extraction are + opt-in because they can require Replicate or Gemini credentials. + """ + data_url = screenshot_data_url(image_path) + params = build_generation_params( + data_url=data_url, + stack=stack, + instructions=instructions, + design_system=design_system, + generate_images=generate_images, + extract_assets=extract_assets, + ) + return await generate_single_variant(params) + + +mcp.tool()(generate_code_from_screenshot) + + +if __name__ == "__main__": + mcp.run( + transport="streamable-http", + host="127.0.0.1", + port=_mcp_port(), + stateless_http=True, + json_response=True, + ) diff --git a/backend/poetry.lock b/backend/poetry.lock index 1a3cb431a..22eb95ec4 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.4.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.4.2 and should not be changed by hand. 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["main"] +groups = ["main", "mcp"] files = [ - {file = "uvicorn-0.25.0-py3-none-any.whl", hash = "sha256:ce107f5d9bd02b4636001a77a4e74aab5e1e2b146868ebbad565237145af444c"}, - {file = "uvicorn-0.25.0.tar.gz", hash = "sha256:6dddbad1d7ee0f5140aba5ec138ddc9612c5109399903828b4874c9937f009c2"}, + {file = "uvicorn-0.31.1-py3-none-any.whl", hash = "sha256:adc42d9cac80cf3e51af97c1851648066841e7cfb6993a4ca8de29ac1548ed41"}, + {file = "uvicorn-0.31.1.tar.gz", hash = "sha256:f5167919867b161b7bcaf32646c6a94cdbd4c3aa2eb5c17d36bb9aa5cfd8c493"}, ] +markers = {mcp = "sys_platform != \"emscripten\""} [package.dependencies] click = ">=7.0" @@ -2793,7 +3637,7 @@ version = "3.23.0" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false python-versions = ">=3.9" -groups = ["main"] +groups = ["main", "mcp"] files = [ {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"}, {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"}, @@ -2810,4 +3654,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.1" python-versions = "^3.10" -content-hash = "e1084d6aa27fbfdc96410c6eaa15bc9f2e7835798aa784762bbe12d61f01897b" +content-hash = "7350fbf4cd1a3267e423d29aad672d4ce7b97f9bd5730b388e02146c85e03055" diff --git a/backend/pyproject.toml b/backend/pyproject.toml index a162d9d4d..10e3a7e29 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -8,8 +8,8 @@ package-mode = false [tool.poetry.dependencies] python = "^3.10" -fastapi = "^0.115.6" -uvicorn = "^0.25.0" +fastapi = "^0.116.2" +uvicorn = "^0.31.1" websockets = "^14.1" openai = "2.16.0" python-dotenv = "^1.0.0" @@ -27,6 +27,12 @@ langfuse = "^3.0.2" playwright = "^1.61.0" pillow-heif = "^0.18.0" +[tool.poetry.group.mcp] +optional = true + +[tool.poetry.group.mcp.dependencies] +mcp = ">=2,<3" + [tool.poetry.group.dev.dependencies] pytest = "^7.4.3" pyright = "^1.1.352" diff --git a/backend/tests/test_mcp_server.py b/backend/tests/test_mcp_server.py new file mode 100644 index 000000000..6e75b183f --- /dev/null +++ b/backend/tests/test_mcp_server.py @@ -0,0 +1,167 @@ +import base64 +from enum import Enum +from pathlib import Path +from typing import Any + +import pytest +from PIL import Image + +import mcp_server + + +def create_png(path: Path) -> None: + Image.new("RGB", (2, 2), color=(255, 255, 255)).save(path, format="PNG") + + +def test_screenshot_data_url_reads_valid_raster_image(tmp_path: Path) -> None: + image_path = tmp_path / "screen.png" + create_png(image_path) + + result = mcp_server.screenshot_data_url(str(image_path)) + + prefix, encoded = result.split(",", 1) + assert prefix == "data:image/png;base64" + assert base64.b64decode(encoded) == image_path.read_bytes() + + +def test_screenshot_data_url_rejects_non_image(tmp_path: Path) -> None: + text_path = tmp_path / "screen.png" + text_path.write_text("not an image", encoding="utf-8") + + with pytest.raises(mcp_server.McpGenerationError, match="valid raster image"): + mcp_server.screenshot_data_url(str(text_path)) + + +def test_build_generation_params_uses_safe_mcp_defaults() -> None: + params = mcp_server.build_generation_params( + data_url="data:image/png;base64,abc", + stack="react_tailwind", + instructions=" Match the compact layout. ", + design_system=None, + generate_images=False, + extract_assets=False, + ) + + assert params["generationType"] == "create" + assert params["inputMode"] == "image" + assert params["generatedCodeConfig"] == "react_tailwind" + assert params["prompt"] == { + "text": "Match the compact layout.", + "images": ["data:image/png;base64,abc"], + "videos": [], + } + assert params["isImageGenerationEnabled"] is False + assert params["isAssetExtractionEnabled"] is False + + +def test_build_generation_params_rejects_oversized_instructions() -> None: + with pytest.raises(mcp_server.McpGenerationError, match="Instructions exceed"): + mcp_server.build_generation_params( + data_url="data:image/png;base64,abc", + stack="html_css", + instructions="x" * (mcp_server.MAX_INSTRUCTIONS_LENGTH + 1), + design_system=None, + generate_images=False, + extract_assets=False, + ) + + +@pytest.mark.asyncio +async def test_mcp_registers_generate_tool_with_expected_schema() -> None: + tools = await mcp_server.mcp.list_tools() + tool = next(tool for tool in tools if tool.name == "generate_code_from_screenshot") + + assert tool.input_schema["required"] == ["image_path"] + assert set(tool.input_schema["properties"]["stack"]["enum"]) == { + "html_tailwind", + "html_css", + "react_tailwind", + "bootstrap", + "vue_tailwind", + "ionic_tailwind", + } + + +@pytest.mark.asyncio +async def test_generate_single_variant_uses_first_selected_model( + monkeypatch: pytest.MonkeyPatch, +) -> None: + captured: dict[str, Any] = {} + + class FakeModel(Enum): + FIRST = "first-model" + SECOND = "second-model" + + class FakeModelSelectionStage: + def __init__(self, _throw_error: Any) -> None: + pass + + async def select_models(self, **_kwargs: Any) -> list[FakeModel]: + return [FakeModel.FIRST, FakeModel.SECOND] + + class FakeGenerationStage: + def __init__(self, **_kwargs: Any) -> None: + pass + + async def process_variants( + self, + variant_models: list[FakeModel], + prompt_messages: list[Any], + ) -> dict[int, str]: + captured["models"] = variant_models + captured["prompt_messages"] = prompt_messages + return {0: ""} + + monkeypatch.setattr( + mcp_server, + "ModelSelectionStage", + FakeModelSelectionStage, + ) + monkeypatch.setattr( + mcp_server, + "AgenticGenerationStage", + FakeGenerationStage, + ) + params = mcp_server.build_generation_params( + data_url="data:image/png;base64,abc", + stack="html_css", + instructions="Keep the labels.", + design_system=None, + generate_images=False, + extract_assets=False, + ) + + result = await mcp_server.generate_single_variant(params) + + assert captured["models"] == [FakeModel.FIRST] + assert result == { + "code": "", + "model": "first-model", + "stack": "html_css", + } + + +@pytest.mark.asyncio +async def test_generate_code_from_screenshot_builds_params_and_delegates( + tmp_path: Path, + monkeypatch: pytest.MonkeyPatch, +) -> None: + image_path = tmp_path / "screen.png" + create_png(image_path) + captured: dict[str, Any] = {} + + async def fake_generate(params: dict[str, Any]) -> dict[str, str]: + captured.update(params) + return {"code": "", "model": "test", "stack": "html_css"} + + monkeypatch.setattr(mcp_server, "generate_single_variant", fake_generate) + + result = await mcp_server.generate_code_from_screenshot( + str(image_path), + stack="html_css", + instructions="Keep the labels.", + ) + + assert result["code"] == "" + assert captured["prompt"]["text"] == "Keep the labels." + assert len(captured["prompt"]["images"]) == 1