Add claude-faf-mcp to MCP servers registry #2759
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Universal AI context format that makes any project 99% AI-ready
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Hi team! 👋 Just wanted to share that this MCP server is now seeing 800+ weekly downloads on NPM! The community is actively using claude-faf-mcp for AI context management with Claude Desktop. We're committed to maintaining this server and have been pushing regular updates based on user feedback. Happy to address any questions or make any adjustments needed for approval. The .faf format reduces AI context setup from 20 minutes to 3 minutes, achieving 99% AI-Readiness with real-time Context-Mirroring that keeps Claude in perfect sync. NPM: https://www.npmjs.com/package/claude-faf-mcp Thank you for reviewing! 🧡⚡️ |
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"## TypeScript Strict Mode Implementation Complete Migration ApproachWe used a staged rollout to minimize disruption:
This approach allowed us to verify correctness at each stage while maintaining a working codebase. Testing ResultsPerformance characteristics remain unchanged:
DocumentationUpdated project documentation to reflect TypeScript strict mode compliance:
StatusThis change is ready for review. The implementation maintains backward compatibility and introduces no breaking changes to the public API. Repository: claude-faf-mcp v2.4.3 |
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Update: v2.5.0 Now Live on NPM Hi reviewers! Quick update while this PR is in review: 🏆 7-tier medal progression (Trophy/Gold/Silver/Bronze/Green/Yellow/Red) Package stats: Published: October 2, 2025 Happy to address any review feedback or make adjustments to the PR as needed. |
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Hi @domdomegg! 👋 I see you've been actively merging PRs today - would you mind taking a @olaservo asked about a 404 link on Oct 7, I fixed it and responded All checks are passing ✅ and the package has 3,400 downloads Thanks for maintaining this awesome project! 🧡 |
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Summary
Adding claude-faf-mcp to the MCP servers registry - a zero-dependency MCP server that provides .faf format context management for Claude Desktop.
What is .faf?
The JPEG for AI - Foundational AI-context Format - Universal, shareable AI-Context for any AI, human or team, regardless of size, location, languages, stack, setup or documentation.
Website: https://faf.one
Details
Testing
Checklist