slicejs-mcp
v1.0.3
Published
MCP server for Slicejs documentation access
Maintainers
Readme
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-mcpUsing npx (No Installation Required)
npx slicejs-mcpUsage
The MCP server runs as a stdio-based service, perfect for integration with AI assistants and MCP-compatible tools.
Basic Usage
npx slicejs-mcpIntegration 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 termmax_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 fetchinclude_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 buildRunning Locally
npm start
# or
node dist/index.jsTesting with MCP Inspector
npx @modelcontextprotocol/inspector node dist/index.jsContributing
Contributions welcome! Please ensure:
- All tools maintain backward compatibility
- Cache behavior is preserved
- Error handling is robust
License
MIT
