MCP 服务器

mcp-guide

Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.

README

mcp-guide

Structured content delivery for AI agents via Model Context Protocol

mcp-guide is an MCP server that provides AI agents with organised access to project guidelines, documentation, and context. It helps agents understand your project's standards, follow development workflows, and access relevant information through a flexible content management system.

Key Features

Content Management - Organise documents, instructions and prompts by category and collection
Template Support - Dynamic content with Mustache/Chevron templates
Multiple Transports - STDIO, HTTP, and HTTPS modes
Feature Flags - Project-specific and global configuration
Workflow Management - Structured development phase tracking
Profile System - Pre-configured setups for common scenarios
Docker Support - Containerised deployment with SSL
OpenSpec Integration - Spec-driven development workflow

Quick Start

mcp-guide is run using your AI Agent's MCP configuration, and not usually run directly, at least in stdio transport mode. In stdio mode, standard input and output are used to communicate with the MCP so the agent needs to control both in order to operate. In http mode, however, the server provides web server (http) transport, and this may be started in standalone mode, not necessarily by the agent directly (although typically it does).

The configurations below detail configuration with some cli agents, but almost all of them will be similar.

Configure with AI Agents

JSON configuration

These blocks can be used as is and inserted into the agent's configuration. The stdio mode is a straightforward configuration, although it requires the uv tool to be installed.

Stdio

{
  "mcpServers": {
    "mcp-guide": {
      "command": "uvx",
      "args": ["mcp-guide"]
    }
  }
}

If the "mcpServers" block already exists, add the "mcp-guide" block at the end, ensuring that the previously last item, if any, has a terminating comma.

Kiro-CLI

Add the above JSON block to ~/.kiro/settings/mcp.json.

Claude Code

Add the above JSON block to ~/.claude/settings.json.

GitHub Copilot CLI

Add this JSON block to ~/.config/.copilot/mcp.json.

Other clients will offer similar configuration, some also

See the Installation Guide for more detail in use with various clients, use with docker and using the http/sse transport mode.

Content Organisation

mcp-guide organises content using frontmatter (optional YAML metadata at the start of documents) to define document properties and behaviour.

Content is classified into three types via the type: field in frontmatter:

user/information - Content displayed to users
agent/information - Context for AI agents
agent/instruction - Directives for agent behaviour

Content is organised using categories (file patterns and directories) and collections (groups of categories). Collections act as "macros" to provide targeted context for specific tasks or purposes.

See Content Management for details.