faf-mcp

faf-mcp

Persistent 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.

Category
访问服务器

README

<!-- faf: faf-mcp | TypeScript | mcp-server | FAF MCP IDE Edition — persistent project context for Cursor, Windsurf, Cline, VS Code --> <!-- faf: doc=readme | canonical=project.faf | score=100 | family=FAF -->

<div style="display: flex; align-items: center; gap: 12px;"> <img src="https://www.faf.one/orange-smiley.svg" alt="FAF" width="40" /> <div> <h1 style="margin: 0; color: #FF8C00;">faf-mcp</h1> <p style="margin: 4px 0 0 0;"><strong>Persistent Project Context for Cursor, IDEs and VS Code. Define once. Sync everywhere.</strong></p> </div> </div>

IANA: vnd.faf+yaml DOI: Context paper

Home: faf-mcp.vercel.app

The MCP you didn't realise you needed, or wanted but didn't know who to ask, is here. Building on 62,000+ downloads across the FAF ecosystem, we bring you faf-mcp to cure your syncing pain and fuel your chosen AI with optimized context, on-demand.

CI npm version License: MIT project.faf


Define once. Sync everywhere.

You maintain .cursorrules. Your teammate uses AGENTS.md. Someone on the team just switched to Gemini. Every AI tool wants its own context file — and they all say the same thing in different formats.

faf-mcp is the dedicated MCP server for Cursor, Windsurf, Cline, VS Code, and every non-Claude platform. One .faf file in your repo, synced to every format your team needs.

                      project.faf
                           │
          ┌────────┬───────┴───────┬────────────┐
          ▼        ▼               ▼            ▼
      CLAUDE.md  AGENTS.md  .cursorrules  GEMINI.md
      (Claude)   (Codex)      (Cursor)    (Gemini)

Quick Start

npx faf-mcp

Add to your MCP config:

{"mcpServers": {"faf": {"command": "npx", "args": ["-y", "faf-mcp"]}}}
Platform Config File
Cursor ~/.cursor/mcp.json
Windsurf ~/.codeium/windsurf/mcp_config.json
Cline Cline MCP settings
VS Code MCP extension config
Claude Desktop Use claude-faf-mcp

Three Ways to Deploy

Door Method Best For
Hosted mcpaas.live Zero-install, point any MCP client to the URL
Self-Deploy Deploy to Vercel Your own instance, full control
Local npx faf-mcp IDE integration via stdio transport

Hosted (mcpaas.live)

Point your MCP client to https://mcpaas.live/sse — no install, no config, no maintenance. Served from 300+ Cloudflare edges with sub-ms cold starts via 2.7KB Zig-WASM engine.

Self-Deploy (Vercel)

Deploy your own MCP server on Vercel in one click. Once deployed, your server exposes:

  • /health — Health check
  • /info — Server metadata + tool list
  • /sse — MCP Server-Sent Events transport

Local (npm)

npx faf-mcp

Interop Tools

Tool Platform Action
faf_agents OpenAI Codex Import/export/sync AGENTS.md
faf_cursor Cursor IDE Import/export/sync .cursorrules
faf_gemini Google Gemini Import/export/sync GEMINI.md
faf_conductor Conductor Import/export directory structure
faf_git GitHub Generate .faf from any repo URL
# Sync to all formats at once
faf bi-sync --all

# Generate .faf from any GitHub repo
faf_git { url: "https://github.com/facebook/react" }

25 MCP tools (with CLI fallback) · 309 tests (9 suites) · 7 bundled parsers


Cloud Sync

Share your FAF context globally via mcpaas.live:

Tool Purpose
faf_cloud_publish Upload to cloud, get shareable URL
faf_cloud_fetch Pull context from cloud
faf_cloud_list List available souls
faf_cloud_search Search across souls
faf_cloud_share Generate share links

Example Workflow:

# Upload your project.faf
faf_cloud_publish { soul_name: "my-project" }
→ https://mcpaas.live/souls/my-project

# Anyone can fetch it
faf_cloud_fetch { soul_name: "my-project" }
→ Context merged into local project.faf

Zero-install sharing - Recipients need no MCP setup. Served from 300+ Cloudflare edges with <1ms cold starts via 2.7KB Zig-WASM engine.


Eternal Bi-Sync

Your .faf file and your platform context files stay synchronized in milliseconds.

project.faf  ←── 8ms ──→  .cursorrules / AGENTS.md / CLAUDE.md / GEMINI.md
                    Single source of truth
  • Update either side → both stay aligned
  • --all flag syncs to all four formats at once
  • Zero manual maintenance
  • Works across teams, branches, sessions

AI assistants forget. They drift. Every new session, AI starts guessing again. Bi-sync means context never goes stale.


Tier System: From Blind to Optimized

Tier Score Status
🏆 TROPHY 100% AI never has to guess
GOLD 99%+ 1 slot from Trophy
SILVER 95%+ Close — keep going
BRONZE 85%+ Interim — keep going
GREEN 70%+ Interim — keep going
YELLOW 55%+ AI flipping coins
RED <55% AI working blind
WHITE 0% No context at all

At 55%, AI is guessing half the time. At 100%, AI is optimized.


use>faf | Prompt Pattern

Start every prompt with "Use FAF" to invoke MCP tools:

Use FAF to initialize my project
Use FAF to score my AI-readiness
Use FAF to sync my context
Use FAF to enhance my project

Works on all platforms — stops web search, forces tool usage.


25 Core MCP Tools

Tool Purpose
faf_init Initialize project.faf
faf_score Check AI-readiness (0-100%)
faf_sync Sync context across platforms
faf_bi_sync Bi-directional .faf ↔ CLAUDE.md
faf_enhance Intelligent enhancement
faf_read Parse and validate FAF files
faf_write Create/update FAF with validation
Interop Tools
faf_agents Import/export/sync AGENTS.md
faf_cursor Import/export/sync .cursorrules
faf_gemini Import/export/sync GEMINI.md
faf_conductor Import/export directory structure
faf_git Generate .faf from GitHub repo URL
Cloud Tools
faf_cloud_publish Upload to mcpaas.live
faf_cloud_fetch Pull from cloud
faf_cloud_list List souls
faf_cloud_search Search souls
faf_cloud_share Generate share links

Plus 36 advanced tools and CLI fallback (via faf-cli v5.0.1):

  • faf readme - Extract 6 Ws from README (+25-35% boost)
  • faf human-add - Non-interactive YAML merge (6Ws Builder)
  • faf git - GitHub repo analysis without cloning
  • And 40+ more commands...

Ecosystem


License

MIT License — Free and open source


Zero drift. Eternal sync. AI optimized. 🏆

"It's so logical if it didn't exist, AI would have built it itself" — Claude

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选