> ## Documentation Index
> Fetch the complete documentation index at: https://mcpverified.com/llms.txt
> Use this file to discover all available pages before exploring further.
# GitHub-Powered MCP Documentation Servers
> Tools that turn GitHub repositories into MCP documentation servers
export const GitHubPackageCards = ({packages}) =>
{packages.map(pkg => {
const repoPath = `${pkg.owner}/${pkg.repo}`;
const npmPackage = pkg.npmPackage || pkg.repo;
return
{pkg.npmPackage && 
}
;
})}
;
Sometimes you don't *write* the docs yourself – you simply want the full, up‑to‑date documentation of an **open‑source library on GitHub** available to your AI assistant. The community projects below turn ***any* repository into a remote MCP server** that streams documentation on demand.
**First-Time Processing** – If a repository hasn't been previously indexed by Context7 or GitMCP, it may take some time (typically a few minutes) for the initial processing to complete as the system performs autoindexing and RAG preparation of the content.
## Available Services
***
## Context7
**Context7** automatically ingests **popular open‑source libraries** (and many **private ones** too) and exposes them as **remote MCP servers**.
**Quick Setup** – Use the configuration below to get started with Context7 in your preferred environment.
Add a MCP server in `~/.cursor/mcp.json`:
```json theme={null}
{
"mcpServers": {
"context7": {
"command": "npx",
"args": ["-y", "@upstash/context7-mcp@latest"]
}
}
}
```
Add this to your Windsurf MCP config file:
```json theme={null}
{
"mcpServers": {
"context7": {
"command": "npx",
"args": ["-y", "@upstash/context7-mcp@latest"]
}
}
}
```
Add this to your Cline MCP config file:
```json theme={null}
{
"mcpServers": {
"context7": {
"command": "npx",
"args": ["-y", "@upstash/context7-mcp@latest"],
"disabled": false,
"autoApprove": []
}
}
}
```
Add this to your VSCode MCP config file:
```json theme={null}
{
"servers": {
"Context7": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@upstash/context7-mcp@latest"]
}
}
}
```
#### Example: Using Context7 with Three.js
After installing Context7, you can prompt your AI assistant to use Three.js documentation like this:
```
Can you help me create a basic Three.js scene with a rotating cube?
Use context7
```
The AI will then **dynamically query Context7** for relevant Three.js documentation as it helps you.
## GitMCP.io
[**GitMCP**](https://gitmcp.io) lets you turn **any public GitHub repository** into a fully‑featured MCP server just by changing the domain from `github.com` → `gitmcp.io` (or `github.io` → `gitmcp.io`). **No build step, no package installs.**
**Pro Tip** – Simply change GitHub URLs to GitMCP URLs to instantly access documentation!
```json theme={null}
{
"mcpServers": {
"threejs": {
"url": "https://gitmcp.io/mrdoob/three.js"
}
}
}
```
```json theme={null}
{
"mcpServers": {
"threejs": {
"serverUrl": "https://gitmcp.io/mrdoob/three.js"
}
}
}
```
```json theme={null}
{
"mcpServers": {
"threejs": {
"url": "https://gitmcp.io/mrdoob/three.js",
"disabled": false,
"autoApprove": []
}
}
}
}
```
```json theme={null}
{
"servers": {
"threejs": {
"type": "sse",
"url": "https://gitmcp.io/mrdoob/three.js"
}
}
}
```
## Example: Three.js Documentation
Once either MCP server is configured, the following **single‑shot prompt** in Cursor + Claude illustrates the improvement:
> Build a Three.js scene featuring a controllable realistic person navigating a textured dynamic urban environment with realistic lighting and subtle bloom effects. Ensure keyboard controls (WASD) for movement.
### Side‑by‑Side Result (GitMCP vs. No GitMCP)
**Why it matters** – by streaming the full Three.js documentation on demand, GitMCP gives the LLM precise API details (e.g. `GLTFLoader`, `DirectionalLight.castShadow`, `EffectComposer`) that would otherwise be unavailable or outdated, resulting in dramatically higher‑quality code generation.
## Benefits of GitHub-Powered MCP Servers
These tools offer several advantages:
* **Zero Documentation Effort**: Use existing documentation from any GitHub repository
* **Always Up-to-Date**: Documentation is pulled directly from the latest repository version
* **On-Demand Access**: AI assistants query only what they need when they need it
* **Broad Compatibility**: Works with virtually any open-source project on GitHub
* **Simplified Integration**: Easy to add to your IDE or AI assistant