grok-faf-mcp
Related Servers
Alternatives to grok-faf-mcp
- AlicenseAqualityAmaintenance.FAF (Foundational AI-context Format) with 50+ tools - Only Persistent project context that integrates seamlessly with Claude Desktop workflows. Officially merged (#2759) Anthropic MCP server.14529 npm23MIT
- AlicenseNot gradedqualityAmaintenancePersistent project context in Rust. 8 MCP tools via rmcp SDK — parse, validate, score, compress, discover, and token analysis. Single binary, zero config. IANA-registered format (application/vnd.faf+yaml). One file, every AI platform.401 npm4MIT
- AlicenseAqualityAmaintenancePersistent project context for Google Gemini. 12 MCP tools for .faf Project DNA — auto-detect your stack, validate, score, and sync across CLAUDE.md, GEMINI.md, and AGENTS.md. Python/FastMCP. IANA-registered format (application/vnd.faf+yaml). 183 tests. One file, every AI platform.13802 PyPI2MIT
- AlicenseAqualityAmaintenancePersistent project context MCP server that syncs a single .faf file to all AI tool formats (Cursor, Windsurf, Cline, etc.), enabling eternal bi-sync and optimized context for AI assistants.15415 npm7MIT
Related Servers
- AlicenseNot gradedqualityAmaintenanceAny MCP server. Anywhere. An OAuth-protected MCP gateway that can also run the servers, plus your Grok subscription as an OpenAI-compatible API.13MIT
- AlicenseAqualityBmaintenanceMCP server that gives AI agents xAI Grok video generation — submit a prompt, poll the render, download the clip. Works with OpenCode, Claude Desktop, Cursor, VS Code, and any MCP client.4MIT
- AlicenseAqualityAmaintenanceUse XAI's latest api functionalities with Grok MCP. It supports image understanding and generation, live search, latest models and more.2253MIT
- AlicenseAqualityCmaintenanceMCP server that converts URLs to clean Markdown/Text for LLM agents.525 npm5MIT
- FlicenseNot gradedqualityCmaintenanceMCP server for the xAI Grok API, providing tools for chat completions, vision analysis, web/X search, embeddings, and model listing via stdio.-
- AlicenseAqualityAmaintenanceAn MCP server that fetches any URL and returns clean Markdown, plus web search with real links.235 PyPIApache 2.0
TDQS
Scored across 12 tools
Most tools target distinct operations, but refresh_faf, refresh_fafm, and refresh_blend overlap in re-grounding behavior, and faf_score vs. faf_trust both evaluate project.faf. The detailed descriptions do clarify when each is appropriate, so confusion is limited but present.
All names use snake_case and domain prefixes (faf_, refresh_, rag_), but verb/noun ordering is mixed: faf_score, faf_trust, refresh_faf, refresh_blend, rag_cache_stats. The convention is readable but not predictable across the set.
12 tools is reasonable for a context-management and RAG-cache server, fitting the 3–15 sweet spot. There is some redundancy among refresh and orchestration tools, but not enough to make the count feel excessive.
The set covers init, score, validate, sync, refresh, orchestration advice, and RAG query/cache lifecycle, but lacks direct update/delete operations for .faf or .fafm and has no tool to set orchestration policy. Referenced soul operations like recall, load_soul, and etch are also absent, leaving notable gaps.