.FAF Context
@Wolfe-Jam
.FAF Context について
Persistent Project Context for Cursor, IDEs and VS Code — IANA-registered .faf format · 25 tools
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"faf-mcp": {
"command": "npx",
"args": [
"faf-mcp"
]
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is Faf?
Persistent Project Context for Cursor, IDEs and VS Code — IANA-registered .faf format · 25 tools
How to use Faf?
The README includes setup instructions such as npx faf-mcp.
Key features of Faf
- /health — Health check
- /info — Server metadata + tool list
- /mcp/v1 — MCP Streamable HTTP transport
- Update either side → both stay aligned
- --all flag syncs to all four formats at once
Use cases of Faf
- Connect an MCP-compatible client to this repository's service.
- Review the README-backed setup before enabling it in production.
FAQ from Faf
Where is the source code for Faf?
The source code is linked from the repository URL on this page.
Does Faf include a standard MCP config?
If the README contains a parseable MCP configuration block, it is shown in the Config tab.
「AI とエージェント」の他のコンテンツ
MCP Manager for Claude Desktop
zueaisimple web ui to manage mcp (model context protocol) servers in the claude app
1MCP - One MCP Server for All
1mcp-appA unified Model Context Protocol server implementation that aggregates multiple MCP servers into one.
MCP Client for Ollama (ollmcp)
joniglHarness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved pre
Perplexity MCP Server
DaInfernalCoderA Model Context Protocol (MCP) server for research and documentation assistance using Perplexity AI. Won 1st @ Cline Hackathon
欢迎来到 智言平台
Shy2593666979AgentChat 是一个基于 LLM 的智能体交流平台，内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作，Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术，实现高效的知识检索与工具调用，使用 FastAPI 构建高性能后端服务。
コメント