nowledge

nowledge

3.5

The Nowledge MCP Server is designed to fetch web content from any public URL via the Model Context Protocol, converting it into Markdown for various output formats. It focuses on performance with features such as fast crawling and HTML sanitization.

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Nowledge MCP Server

This is the official Nowledge MCP Server

It takes a web URL via MCP, crawls all relevant pages, converts them to Markdown, and returns either one document or a list by page.

Features

  • ๐ŸŒ Web-wide Fetching: Fetches content from any public web URL
  • ๐Ÿงน HTML Sanitization: Strips headers, footers, navigation, scripts, and ads
  • ๐Ÿ”— Link Rewriting: Adjusts links to work in Markdown
  • ๐Ÿ“„ Multiple Output Formats: Get one document or structured pages
  • ๐Ÿš€ Performance: Fast crawling with adjustable concurrency and depth
  • NLP: Search by library name or keyword

Usage

Prompts you can use:

nowledge fetch how can i use gpt-image-1 with "vercel ai" sdk
nowledge fetch how can i create new blocks in shadcn?
nowledge fetch i want to understand how X works

Fetch complete Documentation (Default)

use nowledge https://some-website.com/shadcn-ui/ui
use nowledge multiple pages https://some-website.com/shadcn-ui/ui

Single Page

use nowledge fetch single page https://some-website.com/tailwindlabs/tailwindcss/2.2-theme-system

Get by shortform

use nowledge fetch tailwindlabs/tailwindcss
nowledge fetch library

nowledge fetch url
nowledge fetch <name>/<repo>

nowledge multiple pages ...
nowledge single page url ...

Cursor

Add this to .cursor/mcp.json file.

{
  "mcpServers": {
    "mcp-nowledge": {
      "command": "npx",
      "args": ["-y", "mcp-nowledge@latest"]
    }
  }
}

Nowledge Logo

MCP Tool Integration

The package registers a tool named nowledge_fetch that you can use with any MCP-compatible client:

{
  "action": "nowledge_fetch",
  "params": {
    "url": "https://some-website.com/user/repo",
    "mode": "aggregate",
    "maxDepth": "1"
  }
}
Parameters
  • url (required): The starting URL of the website or repository
  • mode (optional): Output mode, either "aggregate" for a single Markdown document (default) or "pages" for structured page data
  • maxDepth (optional): Maximum depth of pages to crawl (default: 10)

Response Format

Success Response (Aggregate Mode)
{
  "status": "ok",
  "data": "# Page Title\n\nPage content...\n\n---\n\n# Another Page\n\nMore content...",
  "totalPages": 5,
  "totalBytes": 25000,
  "elapsedMs": 1200
}
Success Response (Pages Mode)
{
  "status": "ok",
  "data": [
    {
      "path": "index",
      "markdown": "# Home Page\n\nWelcome to the repository."
    },
    {
      "path": "section/page1",
      "markdown": "# First Page\n\nThis is the first page content."
    }
  ],
  "totalPages": 2,
  "totalBytes": 12000,
  "elapsedMs": 800
}
Error Response
{
  "status": "error",
  "code": "FETCH_FAIL",
  "message": "Failed to fetch content from the web"
}
Partial Success Response
{
  "status": "partial",
  "data": "# Page Title\n\nPage content...",
  "errors": [
    {
      "url": "https://some-website.com/user/repo/page2",
      "reason": "HTTP error: 404"
    }
  ],
  "totalPages": 1,
  "totalBytes": 5000,
  "elapsedMs": 950
}

Progress Events

When using the tool, you'll receive progress events during crawling:

Fetched https://some-website.com/user/repo: 12500 bytes in 450ms (status: 200)
Fetched https://some-website.com/user/repo/page1: 8750 bytes in 320ms (status: 200)
Fetched https://some-website.com/user/repo/page2: 6200 bytes in 280ms (status: 200)

Local Development - Installation

Local Usage

{
  "mcpServers": {
    "mcp-nowledge": {
      "command": "node",
      "args": ["./bin/cli.mjs"]
    }
  }
}

From Source

# Clone the repository
git clone https://github.com/instructa/nowledge.git
cd nowledge

# Install dependencies
npm install

# Build the package
npm run build
Direct API Calls

For HTTP transport, you can make direct API calls:

curl -X POST http://localhost:3000/mcp \
  -H "Content-Type: application/json" \
  -d '{
    "id": "req-1",
    "action": "nowledge_fetch",
    "params": {
      "url": "https://some-website.com/user/repo",
      "mode": "aggregate"
    }
  }'

Configuration

Environment Variables

  • NOWLEDGE_MAX_CONCURRENCY: Maximum concurrent requests (default: 5)
  • NOWLEDGE_REQUEST_TIMEOUT: Request timeout in milliseconds (default: 30000)
  • NOWLEDGE_MAX_RETRIES: Maximum retry attempts for failed requests (default: 3)
  • NOWLEDGE_RETRY_DELAY: Base delay for retry backoff in milliseconds (default: 250)

To configure these, create a .env file in the project root:

NOWLEDGE_MAX_CONCURRENCY=10
NOWLEDGE_REQUEST_TIMEOUT=60000
NOWLEDGE_MAX_RETRIES=5
NOWLEDGE_RETRY_DELAY=500

Docker Deployment (Untested)

Build and run the Docker image:

# Build the image
docker build -t mcp-nowledge .

# Run with stdio transport (for development)
docker run -it --rm mcp-nowledge

# Run with HTTP transport (for production)
docker run -d -p 3000:3000 mcp-nowledge --http --port 3000

# Run with environment variables
docker run -d -p 3000:3000 \
  -e NOWLEDGE_MAX_CONCURRENCY=10 \
  -e NOWLEDGE_REQUEST_TIMEOUT=60000 \
  mcp-nowledge --http --port 3000

Development

# Install dependencies
pnpm install

# Run in development mode with stdio
pnpm run dev-stdio

# Run tests
pnpm test

# Run linter
pnpm run lint

# Build the package
pnpm run build

Troubleshooting

Common Issues

  1. Permission Denied: If you get EACCES errors when running the CLI, make sure to make the binary executable:

    chmod +x ./node_modules/.bin/mcp-nowledge
    
  2. Connection Refused: Make sure the port is available and not blocked by a firewall:

    # Check if port is in use
    lsof -i :3000
    
  3. Timeout Errors: For large repositories, consider increasing the timeout and concurrency:

    NOWLEDGE_REQUEST_TIMEOUT=60000 NOWLEDGE_MAX_CONCURRENCY=10 npx mcp-nowledge
    

Contributing

We welcome contributions! Please see for details.

License

MIT

Links

Courses

See my other projects:

  • AI Prompts - Curated AI Prompts for Cursor AI, Cline, Windsurf and Github Copilot
  • codefetch - Turn code into Markdown for LLMs with one simple terminal command
  • aidex A CLI tool that provides detailed information about AI language models, helping developers choose the right model for their needs.