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Nowledge
What is Nowledge
nowledge is an unofficial MCP Server that provides the latest documentation and data from the web by crawling Deepwiki URLs.
Use cases
Use cases include fetching documentation for libraries, understanding specific functionalities, and retrieving information from multiple pages in a structured format.
How to use
To use nowledge, you can issue commands like ‘deepwiki fetch
Key features
Key features include domain safety (only processes deepwiki.com URLs), HTML sanitization (removes unnecessary elements), link rewriting (adjusts links for Markdown compatibility), multiple output formats (single document or structured pages), fast performance with adjustable concurrency and depth, and NLP capabilities for searching library names.
Where to use
nowledge can be used in software development, documentation retrieval, educational purposes, and any scenario where quick access to structured web data is needed.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Nowledge
nowledge is an unofficial MCP Server that provides the latest documentation and data from the web by crawling Deepwiki URLs.
Use cases
Use cases include fetching documentation for libraries, understanding specific functionalities, and retrieving information from multiple pages in a structured format.
How to use
To use nowledge, you can issue commands like ‘deepwiki fetch
Key features
Key features include domain safety (only processes deepwiki.com URLs), HTML sanitization (removes unnecessary elements), link rewriting (adjusts links for Markdown compatibility), multiple output formats (single document or structured pages), fast performance with adjustable concurrency and depth, and NLP capabilities for searching library names.
Where to use
nowledge can be used in software development, documentation retrieval, educational purposes, and any scenario where quick access to structured web data is needed.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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
- 🌐 Web-wide Fetching: Fetches content from any public web URL
- 🧹 HTML Sanitization: Strips headers, footers, navigation, scripts, and ads
- 🔗 Link Rewriting: Adjusts links to work in Markdown
- 📄 Multiple Output Formats: Get one document or structured pages
- 🚀 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"] } } }

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 repositorymode(optional): Output mode, either “aggregate” for a single Markdown document (default) or “pages” for structured page datamaxDepth(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
-
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 -
Connection Refused: Make sure the port is available and not blocked by a firewall:
# Check if port is in use lsof -i :3000 -
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 CONTRIBUTING.md for details.
License
MIT
Links
- GitHub: instructa/nowledge
- X/Twitter: @kregenrek
- Bluesky: @kevinkern.dev
Courses
- Learn Cursor AI: Ultimate Cursor Course
- Learn to build software with AI: instructa.ai
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.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










