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Fal.ai MCP Server

by raveenb
README.md2.71 kB
# MCP Directory Submissions This folder contains submission templates and documentation for registering Fal MCP Server in various MCP directories and registries. ## Submission Status | Directory | Status | URL | Notes | |-----------|--------|-----|-------| | modelcontextprotocol/servers | ⏳ Pending | [Submit PR](https://github.com/modelcontextprotocol/servers) | Official MCP directory | | awesome-mcp-servers | ⏳ Pending | [Submit PR](https://github.com/punkpeye/awesome-mcp-servers) | Community awesome list | | PyPI | ✅ Published | [View](https://pypi.org/project/fal-mcp-server/) | v0.3.0 available | | Docker Registry | ✅ Published | [View](https://github.com/raveenb/fal-mcp-server/pkgs/container/fal-mcp-server) | ghcr.io | | Smithery | ⏳ Pending | [Submit](https://smithery.ai/) | smithery.json ready | | MCP Hub | 🔍 Checking | TBD | Checking availability | ## Submission Files - `modelcontextprotocol-servers.md` - Template for official MCP servers repository - `awesome-mcp-servers.md` - Template for awesome-mcp-servers list - `../smithery.json` - Configuration for Smithery registry - `../SUBMISSION.md` - Complete submission information ## How to Submit ### 1. modelcontextprotocol/servers 1. Fork https://github.com/modelcontextprotocol/servers 2. Add entry to README.md in alphabetical order 3. Use content from `modelcontextprotocol-servers.md` 4. Submit PR with clear description ### 2. awesome-mcp-servers 1. Fork https://github.com/punkpeye/awesome-mcp-servers 2. Add entry to appropriate category 3. Use content from `awesome-mcp-servers.md` 4. Follow contribution guidelines 5. Submit PR ### 3. Smithery Registry 1. Visit https://smithery.ai/ 2. Submit `smithery.json` configuration 3. Provide additional documentation if requested 4. Monitor for approval ### 4. PyPI (Already Published) ```bash # Update version in pyproject.toml # Build and publish python -m build twine upload dist/* ``` ### 5. Social Media Announcement After listings are approved, announce on: - Twitter/X - LinkedIn - Reddit (r/MachineLearning, r/LocalLLaMA) - Discord (MCP community) ## Tracking - [ ] Submit to modelcontextprotocol/servers - [ ] Submit to awesome-mcp-servers - [ ] Submit to Smithery - [ ] Announce on social media - [ ] Update GitHub README with badges - [ ] Monitor download/usage metrics ## Success Metrics - Listed in at least 3 directories ⏳ - PyPI downloads > 1000 ⏳ - GitHub stars > 50 ⏳ - Active user feedback ⏳ ## Notes - Maintain alphabetical order in listings - Keep descriptions concise and clear - Highlight unique features (multi-modal generation) - Emphasize production readiness (tests, Docker, docs) - Respond quickly to PR feedback

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