Fabric MCP Server
Provides access to Daniel Miessler's Fabric AI prompts (patterns and strategies) through MCP, automatically syncing with the upstream repository to enable powerful prompt templates in AI workflows.
README
Fabric MCP Server (Docker)
A Model Context Protocol (MCP) server that exposes Daniel Miessler's Fabric patterns and strategies to MCP-compliant clients. It automatically syncs with the upstream Fabric repository, allowing you to use its powerful prompts directly within your AI workflow.
Features
- Dynamic Sync: Clones or updates the Fabric repository every time the server starts.
- Pattern Prompts: Automatically creates an MCP prompt for every folder in
patterns/. - Strategy Support: Every prompt includes an optional
strategyargument to prepend context fromstrategies/. - User Input: Every prompt requires an
inputargument for user-provided content (text, URL, etc.). - List Strategies Tool: Exposes a
list_strategiestool to discover available strategies and their descriptions.
Prerequisites
- Docker installed and running.
Build
Build the Docker image locally:
docker build -t fabric-mcp-server .
Running the Server
1. Manual Test (Stdio)
To test if the server starts and syncs the repository correctly:
docker run -i fabric-mcp-server
Note: The server communicates via JSON-RPC over stdin/stdout. You will see logs on stderr and can interact via the MCP Inspector.
2. Access via MCP Gateway (Claude Desktop, etc.)
To use this server with a gateway like Claude Desktop, add the following to your claude_desktop_config.json (usually located at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"fabric": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"fabric-mcp-server"
]
}
}
}
3. Access via Gemini CLI
To use this server with the Gemini CLI, add the following to your ~/.gemini/settings.json:
{
"mcpServers": {
"fabric": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"fabric-mcp-server"
]
}
}
}
4. Usage with MCP Gateway "Run" Command
If you are using a gateway that supports running servers via a direct command string, use:
docker run -i --rm fabric-mcp-server
4. Usage via Docker MCP Gateway
If you are using the Docker MCP Gateway CLI, you can run this server directly using:
docker mcp gateway run fabric-mcp-server
5. Global Registration (Docker MCP Catalog)
To make this server visible to all Docker MCP clients (like the docker mcp CLI) using the configuration files in ~/.docker/mcp/:
-
Build the Image:
docker build -t fabric-mcp-server . -
Create a Local Catalog: Create a file named
local.yamlin your catalogs directory (usually~/.docker/mcp/catalogs/local.yaml):version: 3 name: local-catalog displayName: Local Catalog registry: fabric: title: Fabric description: Fabric patterns and strategies type: server image: fabric-mcp-server:latest tools: - list_strategies prompts: [] # One prompt per pattern in the Fabric repository resources: {} metadata: category: productivity tags: - fabric - ai - prompts owner: local -
Enable the Server: Edit your registry file (usually
~/.docker/mcp/registry.yaml) and add thefabricentry underregistry::registry: # ... other servers ... fabric: ref: "" -
Verify: Run
docker mcp list(if available) or simply try running it:docker mcp gateway run fabric
How it Works
- Startup: The server clones
https://github.com/danielmiessler/fabricinto the container. - Prompts: It scans folders like
extract_wisdom,summarize, etc. inpatterns/. - Execution:
- When you select a prompt (e.g.,
extract_wisdom), it reads thesystem.mdfile. - If you provide a
strategy(e.g.,cot), it fetches the strategy JSON, extracts the prompt content, and prepends it to the system message. - The
inputargument content is appended to the end of the prompt.
- When you select a prompt (e.g.,
- Tools: Use
list_strategiesto discover available strategies and their descriptions.
推荐服务器
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。