├── .python-version ├── src └── modal_mcp_toolbox │ ├── __main__.py │ ├── __init__.py │ ├── code.py │ └── flux.py ├── assets ├── flux.gif ├── python-sandbox.gif ├── claude-settings.png ├── goose-settings-1.png └── goose-settings-2.png ├── .gitignore ├── .github └── workflows │ └── publish.yml ├── pyproject.toml ├── smithery.yaml ├── LICENSE ├── Dockerfile ├── README.md └── uv.lock /.python-version: -------------------------------------------------------------------------------- 1 | 3.12 2 | -------------------------------------------------------------------------------- /src/modal_mcp_toolbox/__main__.py: -------------------------------------------------------------------------------- 1 | from modal_mcp_toolbox import main 2 | 3 | main() 4 | -------------------------------------------------------------------------------- /assets/flux.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/philipp-eisen/modal-mcp-toolbox/HEAD/assets/flux.gif -------------------------------------------------------------------------------- /assets/python-sandbox.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/philipp-eisen/modal-mcp-toolbox/HEAD/assets/python-sandbox.gif -------------------------------------------------------------------------------- /assets/claude-settings.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/philipp-eisen/modal-mcp-toolbox/HEAD/assets/claude-settings.png -------------------------------------------------------------------------------- /assets/goose-settings-1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/philipp-eisen/modal-mcp-toolbox/HEAD/assets/goose-settings-1.png -------------------------------------------------------------------------------- /assets/goose-settings-2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/philipp-eisen/modal-mcp-toolbox/HEAD/assets/goose-settings-2.png -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Python-generated files 2 | __pycache__/ 3 | *.py[oc] 4 | build/ 5 | dist/ 6 | wheels/ 7 | *.egg-info 8 | 9 | # Virtual environments 10 | .venv 11 | -------------------------------------------------------------------------------- /.github/workflows/publish.yml: -------------------------------------------------------------------------------- 1 | name: Publish 2 | 3 | jobs: 4 | publish-package: 5 | name: Publish Package 6 | 7 | runs-on: ubuntu-latest 8 | permissions: 9 | id-token: write 10 | 11 | steps: 12 | - uses: actions/checkout@v4 13 | 14 | - name: Install uv 15 | uses: astral-sh/setup-uv@v5 16 | 17 | - name: UV Sync 18 | run: uv sync --all-extras --dev 19 | 20 | - name: Build 21 | run: uv build 22 | 23 | - name: Publish 24 | run: uv publish 25 | 26 | on: 27 | release: 28 | types: [published] 29 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [project] 2 | name = "modal-mcp-toolbox" 3 | version = "0.1.12" 4 | description = "A collection of Model Context Protocol (MCP) tools for Modal" 5 | readme = "README.md" 6 | requires-python = ">=3.10,<3.13" 7 | authors = [ 8 | {name = "Philipp Eisen", email = "hello@philippeisen.de"}, 9 | ] 10 | dependencies = [ 11 | "mcp>=1.3.0", 12 | "modal>=0.73.43", 13 | ] 14 | 15 | [dependency-groups] 16 | dev = [ 17 | "mcp[cli]>=1.3.0", 18 | ] 19 | 20 | [tool.ruff] 21 | line-length = 150 22 | target-version = "py310" 23 | select = [ 24 | "E", # pycodestyle errors 25 | "W", # pycodestyle warnings 26 | "F", # pyflakes 27 | "I", # isort 28 | "B", # flake8-bugbear 29 | ] 30 | ignore = [] 31 | 32 | 33 | [project.scripts] 34 | modal-mcp-toolbox = "modal_mcp_toolbox:main" 35 | 36 | [build-system] 37 | requires = ["hatchling"] 38 | build-backend = "hatchling.build" 39 | -------------------------------------------------------------------------------- /smithery.yaml: -------------------------------------------------------------------------------- 1 | # Smithery configuration file: https://smithery.ai/docs/config#smitheryyaml 2 | 3 | startCommand: 4 | type: stdio 5 | configSchema: 6 | # JSON Schema defining the configuration options for the MCP. 7 | type: object 8 | required: 9 | - modalTokenID 10 | - modalTokenSecret 11 | properties: 12 | modalTokenID: 13 | type: string 14 | description: The ID for the Modal token. You can create the token at https://modal.com/settings/tokens 15 | modalTokenSecret: 16 | type: string 17 | description: The secret for the Modal token. You can create the token at https://modal.com/settings/tokens 18 | commandFunction: 19 | # A function that produces the CLI command to start the MCP on stdio. 20 | |- 21 | (config) => ({ command: 'modal-mcp-toolbox', args: [], "env": { MODAL_TOKEN_ID: config.modalTokenID, MODAL_TOKEN_SECRET: config.modalTokenSecret } }) 22 | -------------------------------------------------------------------------------- /src/modal_mcp_toolbox/__init__.py: -------------------------------------------------------------------------------- 1 | import argparse 2 | import logging 3 | from importlib.metadata import version 4 | 5 | from mcp.server.fastmcp import FastMCP 6 | 7 | from modal_mcp_toolbox.code import run_python_code_in_sandbox 8 | from modal_mcp_toolbox.flux import generate_flux_image 9 | 10 | server = FastMCP("modal-toolbox") 11 | 12 | server.add_tool(run_python_code_in_sandbox) 13 | server.add_tool(generate_flux_image) 14 | 15 | 16 | logger = logging.getLogger(__name__) 17 | 18 | 19 | def main(): 20 | """MCP Modal Sandbox: A sandbox for running python code in a safe environment.""" 21 | parser = argparse.ArgumentParser(description="A sandbox for running python code in a safe environment.") 22 | parser.add_argument("--version", action="version", version=version("modal-mcp-toolbox")) 23 | parser.parse_args() 24 | server.run() 25 | 26 | 27 | if __name__ == "__main__": 28 | logging.basicConfig(level=logging.INFO, handlers=[logging.StreamHandler()]) 29 | main() 30 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2025 Philipp Eisen 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /Dockerfile: -------------------------------------------------------------------------------- 1 | # Generated by https://smithery.ai. See: https://smithery.ai/docs/config#dockerfile 2 | # Use a Python image with uv pre-installed 3 | FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS uv 4 | 5 | # Install the project into /app 6 | WORKDIR /app 7 | 8 | # Enable bytecode compilation 9 | ENV UV_COMPILE_BYTECODE=1 10 | 11 | # Copy from the cache instead of linking since it's a mounted volume 12 | ENV UV_LINK_MODE=copy 13 | 14 | # Install the project's dependencies using the lockfile and settings 15 | RUN --mount=type=cache,target=/root/.cache/uv --mount=type=bind,source=uv.lock,target=uv.lock --mount=type=bind,source=pyproject.toml,target=pyproject.toml uv sync --frozen --no-install-project --no-dev --no-editable 16 | 17 | # Then, add the rest of the project source code and install it 18 | # Installing separately from its dependencies allows optimal layer caching 19 | ADD . /app 20 | RUN --mount=type=cache,target=/root/.cache/uv uv sync --frozen --no-dev --no-editable 21 | 22 | FROM python:3.12-slim-bookworm 23 | 24 | WORKDIR /app 25 | 26 | COPY --from=uv --chown=app:app /app/.venv /app/.venv 27 | 28 | # Place executables in the environment at the front of the path 29 | ENV PATH="/app/.venv/bin:$PATH" 30 | 31 | # Set the entrypoint to execute the local project 32 | ENTRYPOINT ["modal-mcp-toolbox"] 33 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Modal MCP Toolbox 🛠️ 2 | 3 | [![smithery badge](https://smithery.ai/badge/@philipp-eisen/modal-mcp-toolbox)](https://smithery.ai/server/@philipp-eisen/modal-mcp-toolbox) 4 | 5 | A collection of Model Context Protocol (MCP) tools that run on Modal. 6 | This let's you extend the capabilities of your LLM in tools such as [Goose](https://block.github.io/goose/) or the [Claude Desktop App](https://claude.ai/download). 7 | 8 | Modal Toolbox MCP server 9 | 10 | ## Tools 11 | 12 | - `run_python_code_in_sandbox`: Let's you run python code in a sandboxed environment. 13 | - `generate_flux_image`: Generate an image using the FLUX model. 14 | 15 | ## Demo 16 | 17 | ### Flux Image Generation 18 | 19 | ![🎬Flux Image Generation](./assets/flux.gif) 20 | 21 | ### Python Code Execution 22 | 23 | ![🎬Python Code Execution](./assets/python-sandbox.gif) 24 | 25 | ## Prerequisites 26 | 27 | - A [modal account](https://modal.com/signup) and a configured modal CLI. 28 | - [UV](https://github.com/astral-sh/uv?tab=readme-ov-file#installation) 29 | - A client that supports MCP. Such as the [Claude Desktop App](https://claude.ai/download) or [Goose](https://block.github.io/goose/) 30 | 31 | This runs against your modal account, so you will need to have a modal account and be logged in. 32 | 33 | ## Installation 34 | 35 | Installation depends on the client that uses the MCP. Here is instructions for Claude and Goose. 36 | 37 | ### Claude 38 | 39 | Got to `Settings > Developer` in the Claude Desktop App. And click on Edit Config. 40 | ![🖼️Claude Settings](./assets/claude-settings.png) 41 | 42 | Add the config for the mcp server. My config looks like this: 43 | 44 | ```json 45 | { 46 | "mcpServers": { 47 | "modal-toolbox": { 48 | "command": "uvx", 49 | "args": ["modal-mcp-toolbox"] 50 | } 51 | } 52 | } 53 | ``` 54 | 55 | ### Goose 56 | 57 | Go to `Settings` and Click on Add. 58 | 59 | ![🖼️Goose Settings](./assets/goose-settings-1.png) 60 | 61 | Then add an extension like in the screenshot below. 62 | The important part is to set command to: 63 | 64 | ``` 65 | uvx modal-mcp-toolbox 66 | ``` 67 | 68 | The rest you can fill in as you like. 69 | 70 | ![🖼️Goose MCP Settings](./assets/goose-settings-2.png) 71 | 72 | ### Installing via Smithery (not working currently) 73 | 74 | To install Modal MCP Toolbox for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@philipp-eisen/modal-mcp-toolbox): 75 | 76 | ```bash 77 | npx -y @smithery/cli install @philipp-eisen/modal-mcp-toolbox --client claude 78 | ``` 79 | -------------------------------------------------------------------------------- /src/modal_mcp_toolbox/code.py: -------------------------------------------------------------------------------- 1 | from pathlib import Path 2 | from typing import Annotated 3 | 4 | import modal 5 | from mcp import ErrorData, McpError 6 | from mcp.types import INVALID_PARAMS, Annotations, TextContent 7 | from pydantic import Field 8 | 9 | 10 | async def run_python_code_in_sandbox( 11 | code: Annotated[str, Field(description="The python code to run.")], 12 | requirements: Annotated[list[str] | None, Field(description="The requirements to install.")] = None, 13 | python_version: Annotated[str, Field(description="The python version to use. If not provided defaults to 3.13")] = "3.13", 14 | mount_directory: Annotated[ 15 | str | None, 16 | Field( 17 | description="Allows you to make a local directory available at `/mounted-dir` for the code in `code`. Needs to be an absolute path. " 18 | "Writes to this directory will NOT be reflected in the local directory." 19 | ), 20 | ] = None, 21 | pull_files: Annotated[ 22 | list[tuple[str, str]] | None, 23 | Field( 24 | description="List of tuples (absolut_path_sandbox_file, absolute_path_local_file). " 25 | "When provided downloads the file(s) from the sandbox to the local file(s)." 26 | ), 27 | ] = None, 28 | ) -> TextContent: 29 | """ 30 | Runs python code in a safe environment and returns the output. 31 | 32 | Usage: 33 | run_python_code_in_sandbox("print('Hello, world!')") 34 | run_python_code_in_sandbox("import requests\nprint(requests.get('https://icanhazip.com').text)", requirements=["requests"]) 35 | """ 36 | 37 | app = modal.App.lookup("mcp-toolbox--code", create_if_missing=True) 38 | image = modal.Image.debian_slim(python_version=python_version).pip_install(requirements or []) 39 | 40 | mounts: list[modal.Mount] = [] 41 | if mount_directory: 42 | mounts.append(modal.Mount.from_local_dir(mount_directory, remote_path="/mounted-dir")) 43 | 44 | sb = modal.Sandbox.create(image=image, app=app, mounts=mounts) 45 | try: 46 | exc = sb.exec("python", "-c", code) 47 | exc.wait() 48 | if exc.returncode != 0: 49 | stderr = exc.stderr.read() 50 | raise McpError( 51 | ErrorData( 52 | code=INVALID_PARAMS, 53 | message=f"Error running code:\n{stderr}", 54 | ) 55 | ) 56 | 57 | if pull_files: 58 | for remote_file, local_file in pull_files: 59 | if not Path(local_file).parent.exists(): 60 | Path(local_file).parent.mkdir(parents=True, exist_ok=True) 61 | 62 | if Path(local_file).exists(): 63 | raise McpError( 64 | ErrorData( 65 | code=INVALID_PARAMS, 66 | message=f"File {local_file} already exists.", 67 | ) 68 | ) 69 | with sb.open(remote_file, "rb") as f: 70 | with open(local_file, "wb") as f2: 71 | f2.write(f.read()) 72 | return TextContent(type="text", text=exc.stdout.read(), annotations=Annotations(audience=["user", "assistant"], priority=0.5)) 73 | 74 | finally: 75 | sb.terminate() 76 | -------------------------------------------------------------------------------- /src/modal_mcp_toolbox/flux.py: -------------------------------------------------------------------------------- 1 | # based on https://github.com/modal-labs/modal-examples/blob/main/06_gpu_and_ml/stable_diffusion/flux.py 2 | import logging 3 | from importlib.metadata import PackageNotFoundError, version 4 | from io import BytesIO 5 | from typing import Annotated 6 | 7 | import modal 8 | from mcp.server.fastmcp import Context, Image 9 | from mcp.types import Annotations, ImageContent 10 | from modal.exception import NotFoundError 11 | from modal.runner import deploy_app 12 | from pydantic import Field 13 | 14 | logger = logging.getLogger(__name__) 15 | 16 | MINUTES = 60 # seconds 17 | VARIANT = "schnell" # or "dev", but note [dev] requires you to accept terms and conditions on HF 18 | NUM_INFERENCE_STEPS = 4 # use ~50 for [dev], smaller for [schnell] 19 | IMAGE_FORMAT = "JPEG" 20 | 21 | 22 | cuda_version = "12.4.0" # should be no greater than host CUDA version 23 | flavor = "devel" # includes full CUDA toolkit 24 | operating_sys = "ubuntu22.04" 25 | tag = f"{cuda_version}-{flavor}-{operating_sys}" 26 | 27 | cuda_dev_image = modal.Image.from_registry(f"nvidia/cuda:{tag}", add_python="3.11").entrypoint([]) 28 | diffusers_commit_sha = "81cf3b2f155f1de322079af28f625349ee21ec6b" 29 | 30 | flux_image = ( 31 | cuda_dev_image.apt_install( 32 | "git", 33 | "libglib2.0-0", 34 | "libsm6", 35 | "libxrender1", 36 | "libxext6", 37 | "ffmpeg", 38 | "libgl1", 39 | ) 40 | .pip_install( 41 | "invisible_watermark==0.2.0", 42 | "transformers==4.44.0", 43 | "huggingface_hub[hf_transfer]==0.26.2", 44 | "accelerate==0.33.0", 45 | "safetensors==0.4.4", 46 | "sentencepiece==0.2.0", 47 | "torch==2.5.0", 48 | f"git+https://github.com/huggingface/diffusers.git@{diffusers_commit_sha}", 49 | "numpy<2", 50 | # This is a bit of a hack to ensure that the the version modal-mcp-toolbox is the same as the local version. 51 | # -- not really ideal 52 | f"modal-mcp-toolbox=={version('modal-mcp-toolbox')}", 53 | ) 54 | .env({"HF_HUB_ENABLE_HF_TRANSFER": "1", "HF_HUB_CACHE": "/cache"}) 55 | ) 56 | 57 | 58 | flux_image = flux_image.env( 59 | { 60 | "TORCHINDUCTOR_CACHE_DIR": "/root/.inductor-cache", 61 | "TORCHINDUCTOR_FX_GRAPH_CACHE": "1", 62 | } 63 | ) 64 | 65 | 66 | app_name = "mcp-toolbox--flux" 67 | app = modal.App(app_name, image=flux_image) 68 | 69 | with flux_image.imports(): 70 | import torch 71 | from diffusers import FluxPipeline 72 | 73 | 74 | @app.cls( 75 | gpu="L40S", 76 | container_idle_timeout=5 * MINUTES, 77 | image=flux_image, 78 | volumes={ 79 | "/cache": modal.Volume.from_name("hf-hub-cache", create_if_missing=True), 80 | }, 81 | enable_memory_snapshot=True, 82 | ) 83 | class Model: 84 | @modal.enter(snap=True) 85 | def load(self): 86 | print("🔄 loading model...") 87 | pipe = FluxPipeline.from_pretrained(f"black-forest-labs/FLUX.1-{VARIANT}", torch_dtype=torch.bfloat16) 88 | self.pipe = _optimize(pipe) 89 | 90 | @modal.enter(snap=False) 91 | def setup(self): 92 | print("🔄 moving model to GPU...") 93 | self.pipe = self.pipe.to("cuda") 94 | 95 | @modal.method() 96 | def inference(self, prompt: str) -> bytes: 97 | print("🎨 generating image...") 98 | out = self.pipe( 99 | prompt, 100 | output_type="pil", 101 | num_inference_steps=NUM_INFERENCE_STEPS, 102 | ).images[0] 103 | 104 | byte_stream = BytesIO() 105 | out.save(byte_stream, format=IMAGE_FORMAT) 106 | return byte_stream.getvalue() 107 | 108 | 109 | @app.function( 110 | # This is a bit of a hack to ensure that the the version modal-mcp-toolbox is the same as the local version. 111 | # -- not really ideal 112 | image=modal.Image.debian_slim().pip_install(f"modal-mcp-toolbox=={version('modal-mcp-toolbox')}"), 113 | container_idle_timeout=5 * MINUTES, 114 | ) 115 | def get_version(): 116 | try: 117 | print("modal_mcp_toolbox version:", version("modal_mcp_toolbox")) 118 | return version("modal_mcp_toolbox") 119 | except PackageNotFoundError: 120 | print("modal_mcp_toolbox version: unknown") 121 | return "unknown" 122 | 123 | 124 | def _optimize(pipe): 125 | # fuse QKV projections in Transformer and VAE 126 | pipe.transformer.fuse_qkv_projections() 127 | pipe.vae.fuse_qkv_projections() 128 | 129 | # switch memory layout to Torch's preferred, channels_last 130 | pipe.transformer.to(memory_format=torch.channels_last) 131 | pipe.vae.to(memory_format=torch.channels_last) 132 | 133 | return pipe 134 | 135 | 136 | async def _ensure_app_deployment_is_up_to_date(ctx: Context): 137 | try: 138 | fn = modal.Function.from_name(app_name, "get_version") 139 | remote_version = await fn.remote.aio() 140 | 141 | if remote_version != version("modal_mcp_toolbox"): 142 | await ctx.info("App is out of date. Deploying ...") 143 | logger.info("App is out of date. Deploying ...") 144 | deploy_app(app) 145 | except NotFoundError: 146 | await ctx.info("App not found. Deploying...") 147 | logger.info("App not found. Deploying...") 148 | deploy_app(app) 149 | 150 | 151 | async def generate_flux_image(prompt: Annotated[str, Field(description="The prompt to generate an image for")], ctx: Context) -> ImageContent: 152 | """Let's you generate an image using the Flux model.""" 153 | await _ensure_app_deployment_is_up_to_date(ctx) 154 | 155 | cls = modal.Cls.from_name(app_name, Model.__name__) 156 | image_bytes = await cls().inference.remote.aio(prompt) 157 | image_content = Image(data=image_bytes, format=IMAGE_FORMAT).to_image_content() 158 | image_content.annotations = Annotations(audience=["user", "assistant"], priority=0.5) 159 | return image_content 160 | 161 | 162 | if __name__ == "__main__": 163 | deploy_app(app) 164 | 165 | 166 | @app.local_entrypoint() 167 | async def main(): 168 | print(await get_version.remote.aio()) 169 | -------------------------------------------------------------------------------- /uv.lock: -------------------------------------------------------------------------------- 1 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