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MCP verified MIT Self-run

Fal Ai Mcp Server

mcp-piebro-fal-ai-mcp-server · by piebro

An MCP (Model Context Protocol) Server to use the fal.ai APIs to generate images and videos.

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Install

$ agentstack add mcp-piebro-fal-ai-mcp-server

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
stale · 1y ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Fal AI MCP Server

An MCP (Model Context Protocol) server to use the fal.ai APIs to generate images and videos. This is a barebones server that anyone can extend to use different fal.ai models and API endpoints.

Usage

Install uv and add the server to an MCP config using uvx:

{
    "name": "fal-ai-mcp-server",
    "command": "uvx",
    "args": [
        "fal-ai-mcp-server"
    ],
    "env": {
        "FAL_KEY": "your-key",
        "SAVE_MEDIA_DIR": "path/to/save/images"
    }
}

or clone the repo and use uv with a directory:

{
    "name": "fal-ai-mcp-server",
    "command": "uv",
    "args": [
        "--directory",
        "path/to/root/dir/",
        "run",
        "main.py"
    ],
    "env": {
        "FAL_KEY": "your-key",
        "SAVE_MEDIA_DIR": "path/to/save/images"
    }
}

Development

Testing

Clone the repo and use mcp-client-for-testing to test the tools of the server.

uvx mcp-client-for-testing \
    --config '
    [
        {
            "name": "fal-ai-mcp-server",
            "command": "uv",
            "args": [
                "--directory", 
                "path/to/root/dir/", 
                "run", 
                "main.py"
            ],
            "env": {
                "FAL_KEY": "your-key",
                "SAVE_MEDIA_DIR": "path/to/save/images"
            }
        }
    ]
    ' \
    --tool_call '{"name": "echo_tool", "arguments": {"message": "Hello, world!"}}'

Formatting and Linting

The code is formatted and linted with ruff:

uv run ruff format
uv run ruff check --fix

Building with uv

Build the package using uv:

uv build

Releasing a New Version

To release a new version of the package to PyPI, create and push a new Git tag:

  1. Checkout the main branch and get the current version:

``bash git checkout main git pull origin main git describe --tags ``

  1. Create and push a new Git tag:

``bash git tag v0.2.0 git push origin v0.2.0 ``

The GitHub Actions workflow will automatically build and publish the package to PyPI when a new tag is pushed. The python package version number will be derived directly from the Git tag.

License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.