Slice.js Documentation MCP

An MCP (Model Context Protocol) server that provides access to Slice.js documentation from the official GitHub repository. This server allows AI assistants and tools to query, search, and retrieve documentation seamlessly.

Features

• Dynamic Documentation Discovery: Automatically discovers and indexes all documentation files from the GitHub repo

• Intelligent Caching: Infinite session cache to minimize API requests and improve performance

• Full-Text Search: Search across all documentation with keyword matching

• Content Retrieval: Fetch specific documentation pages or the complete documentation bundle

• Lazy Initialization: Docs structure is loaded on-demand when first needed

Installation

Global Installation (Recommended)

npm install -g slicejs-mcp

Using npx (No Installation Required)

npx slicejs-mcp

Usage

The MCP server runs as a stdio-based service, perfect for integration with AI assistants and MCP-compatible tools.

Basic Usage

npx slicejs-mcp

Integration with MCP Clients

This server is designed to work with MCP-compatible clients. When launched, it exposes 4 tools:

Tools

1. list_docs

Returns a list of all available documentation sections and categories.

Parameters: None

Response: JSON array of documentation items with id, title, and path.

Example:

[
  {
    "id": "getting-started",
    "title": "Getting Started",
    "path": "markdown/getting-started.md"
  }
]

2. search_docs

Searches across all documentation using keywords or phrases.

Parameters:

• query (string, required): Search term

• max_results (number, optional, default: 5): Maximum number of results

Response: JSON array of search results with snippets and metadata.

3. get_doc_content

Fetches the full content of specific documentation page(s).

Parameters:

• doc_id (string or string[], required): Documentation ID(s) to fetch

• include_metadata (boolean, optional, default: false): Include additional metadata

Response: JSON object(s) with document content, title, and optional metadata.

4. get_llm_full_context

Fetches the complete documentation bundle (~2000 lines) for comprehensive LLM context.

Parameters: None

Response: Complete documentation text

Note: This consumes considerable tokens but provides all documentation in one request.

Examples

List all documentation

// Via MCP client
await callTool("list_docs", {});

Search for routing information

await callTool("search_docs", {
  query: "routing",
  max_results: 3
});

Get specific documentation

await callTool("get_doc_content", {
  doc_id: "getting-started/routing"
});

Get full documentation context

await callTool("get_llm_full_context", {});

Architecture

• Source: Documentation fetched from https://github.com/VKneider/slicejs_docs

• Caching: Infinite session cache prevents redundant API calls

• Initialization: Lazy loading of document structure on first tool use

• Rate Limiting: Optimized to stay within GitHub API limits (60 req/hour)

Development

Prerequisites

• Node.js >= 18

• npm or yarn

Setup

git clone <repo>
cd slicejs-mcp
npm install
npm run build

Running Locally

npm start
# or
node dist/index.js

Testing with MCP Inspector

npx @modelcontextprotocol/inspector node dist/index.js

Contributing

Contributions welcome! Please ensure:

• All tools maintain backward compatibility

• Cache behavior is preserved

• Error handling is robust

License

MIT