🏠 Home page
💬 Discord
📚 Check docs
➕ Add docsQuillopy MCP — Real Docs. Real Code. Zero Hallucination.

🧠 Your LLM is smart. But it can’t see the latest docs.
❌ Without Quillopy:
- You get code that references functions that were deprecated two years ago
- You spend time debugging things that were never supposed to work
- Answers are vague, outdated, or flat-out wrong
✅ With Quillopy:

Quillopy pipes accurate documentation directly into your code assistant’s context — so it generates real, working, up-to-date code.
No manual uploads. No stale info. No wasted time.
How it works:
- Ask your question in Cursor (or any assistant that supports the MCPs)
- Behind the scenes, Quillopy injects the right docs — automatically
- You get a code completion that actually runs
To explicitly activate Quillopy, just add @quillopy
to your question — or use @quillopy[package_name]
to specify exactly what library to pull in.
No hacks. No guessing. Just code that works.
Try it with questions like:
“How to code an agent browsing the web to fetch the latest news using browser-use? @quillopy[browser-use]”\ “How do I store and retrieve JSON data in Supabase? @quillopy”\ “How do I secure routes with the newest NextAuth? @quillopy”
Why devs are switching to Quillopy:
✅ Zero setup — no uploads or config\ ✅ 600+ libraries pre-indexed and updated in real time\ ✅ Optimized for minimal context usage (perfect for LLMs)\ ✅ Works with any library, any version, anytime
🛠️ Getting Started
1. Create an API key
Important: You need a Quillopy API key to use this MCP server. Visit https://quillopy.com to sign up and obtain your API key (free).
2. Install the Quillopy MCP
Option 1: Use Smithery (Recommended)
Smithery provides the easiest way to install and configure the Quillopy MCP across various AI assistant platforms.
# Claude
npx -y @smithery/cli@latest install @quillopy/quillopy-mcp --client claude
# Cursor
npx -y @smithery/cli@latest install @quillopy/quillopy-mcp --client cursor
# Windsurf
npx -y @smithery/cli@latest install @quillopy/quillopy-mcp --client windsurf
For more information and additional integration options, visit https://smithery.ai/server/@quillopy/quillopy-mcp
Option 2: Manual Setup
Cursor
- Navigate to
Settings
->Cursor Settings
->MCP
->+ Add new global MCP server
- Copy paste the following config in
~/.cursor/.mcp.json
{
"mcpServers": {
"quillopy": {
"command": "npx",
"args": ["-y", "@quillopy/mcp"],
"env": {
"QUILLOPY_API_KEY": "<your-api-key>"
}
}
}
}
- Replace
<your-api-key>
with your actual API key
Check the Cursor MCP docs for more infos.
Windsurf
Add this to your Windsurf MCP config file. Check the Windsurf MCP docs for more infos.
{
"mcpServers": {
"quillopy": {
"command": "npx",
"args": ["-y", "@quillopy/mcp"],
"env": {
"QUILLOPY_API_KEY": "<your-api-key>"
}
}
}
}
Claude Desktop
Add this to your claude_desktop_config.json
.
{
"mcpServers": {
"quillopy": {
"command": "npx",
"args": ["-y", "@quillopy/mcp"],
"env": {
"QUILLOPY_API_KEY": "<your-api-key>"
}
}
}
}
Continue.dev
- Open your Continue.dev configuration file in either format:
- YAML:
- MacOS/Linux:
~/.continue/config.yaml
- Windows:
%USERPROFILE%\.continue\config.yaml
- MacOS/Linux:
- JSON:
- Same location as above, but named
config.json
- Same location as above, but named
Add the configuration using either format:
YAML format:
experimental:
modelContextProtocolServers:
- transport:
type: stdio
command: node
args: ["-y", "@quillopy/mcp"]
env: { "QUILLOPY_API_KEY": "<your-api-key>" }
JSON format:
{
"experimental": {
"modelContextProtocolServers": [
{
"transport": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@quillopy/mcp"],
"env": { "QUILLOPY_API_KEY": "<your-api-key>" }
}
}
]
}
}
- Save the file - Continue will automatically refresh to apply the new configuration. If the changes don't take effect immediately, try restarting your IDE.
Check Continue MCP docs for more infos.
Quillopy MCP
Project Details
- quillopy/quillopy-mcp
- Last Updated: 4/14/2025
Recomended MCP Servers
MCP server that fetches GitHub Pull Request comments
FastMCPのテストをします
A MCP (Model Context Protocol) server implementation for SimpleLocalize.
MCP server for Naver Search API integration. Provides comprehensive search capabilities across Naver services (web, news, blog, shopping,...
A Model Context Protocol (MCP) server that provides file deletion capabilities for AI assistants. Supports both relative and...