Context Awesome

Name: Context Awesome
Author: bh-rat

by bh-ratversion 0.1.1i★ –iComputer or cloud

Registry nameio.github.bh-rat/context-awesome

Install

Overview

Description from the maker (original English)

MCP server for accessing curated awesome list documentation

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Computer or cloud
Transport: stdio, Streamable HTTP
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet
npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://www.context-awesome.com/api/mcp

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "context-awesome": {
      "command": "npx",
      "args": [
        "-y",
        "context-awesome"
      ]
    }
  }
}

Run this in your terminal

claude mcp add --transport http context-awesome https://www.context-awesome.com/api/mcp

Or run it on your computer

claude mcp add context-awesome -- npx -y context-awesome

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "context-awesome": {
      "url": "https://www.context-awesome.com/api/mcp"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "context-awesome": {
      "command": "npx",
      "args": [
        "-y",
        "context-awesome"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "context-awesome": {
      "type": "http",
      "url": "https://www.context-awesome.com/api/mcp"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "context-awesome": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "context-awesome"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://www.context-awesome.com/api/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account bh-rat, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

More stars than 0% of the other 32708 servers in this category
Published to the registry more recently than 12% of the other 32708 servers in this category
Basic checks equal to or better than 100% of the other 32708 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Context Awesome safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, OpenTakeoff

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago

Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago

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OpenTakeoff

by Kentucky-ai

Construction takeoff for AI agents: load plans, set scale, measure, count, export with provenance.

Runs on your computerUpdated today

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

context-awesome : awesome references for your agents

A Model Context Protocol (MCP) server that provides access to all the curated awesome lists and their items. It can provide the best resources for your agent from sections of the 8500+ awesome lists on github and more then 1mn+ (growing) awesome row items.

What are Awesome Lists? Awesome lists are community-curated collections of the best tools, libraries, and resources on any topic - from machine learning frameworks to design tools. By adding this MCP server, your AI agents get instant access to these high-quality, vetted resources instead of relying on random web searches.

Perfect for :

Knowledge worker agents to get the most relevant references for their work
The source for the best learning resources
Deep research can quickly gather a lot of high quality resources for any topic.
Search agents

https://github.com/user-attachments/assets/babab991-e4ff-4433-bdb7-eb7032e9cd11

Two Ways to Use Context Awesome

Mode	Install	Good for
MCP Server	point your agent at the hosted URL or spawn `context-awesome-mcp`	Claude Desktop, Cursor, Windsurf, VS Code — agents that natively speak MCP
CLI	`npm install -g context-awesome`	Scripts, shell workflows, editors without MCP support, CI jobs

Both modes ship from the same npm package (context-awesome) and hit the same hosted backend.

MCP Tools

Every MCP tool has a 1:1 CLI subcommand — the server and the CLI expose the same operations.

Tool	CLI equivalent	What it does
`find_awesome_section`	`context-awesome sections`	Discover sections/categories across awesome lists matching a query
`search_awesome_items`	`context-awesome search`	Full-text search across individual items (tools/libraries/resources)
`get_awesome_items`	`context-awesome items`	Fetch items from a known list + section, token-budgeted

CLI Commands

The CLI (context-awesome) talks directly to the hosted backend. For the MCP server, use the separate context-awesome-mcp binary (see Installation — MCP Clients below).

context-awesome <command> [options]

Commands: sections Find sections matching a query search Search items (e.g., context-awesome search "postgres orm") items Fetch items from a list (by owner/repo or listId)

Globals: --api-host Backend API host (env: CONTEXT_AWESOME_API_HOST) --api-key API key (env: CONTEXT_AWESOME_API_KEY) --json Emit raw JSON (for scripts)

Install the CLI

npm install -g context-awesome

context-awesome --help context-awesome search "rate limiter" context-awesome sections "graph databases"

Use the CLI without installing

npx context-awesome search "vector database"

Installation — MCP Clients

Remote Server (Recommended)

Context Awesome is available as a hosted MCP server. No installation required.

Install in Cursor

Go to: Settings → Cursor Settings → MCP → Add new global MCP server

"mcpServers": { "context-awesome": { "url": "https://www.context-awesome.com/api/mcp" } } }

Install in Claude Code

claude mcp add --transport http context-awesome https://www.context-awesome.com/api/mcp

Install in Claude Desktop

Settings → Connectors → Add Custom Connector.

Name: Context Awesome
URL: https://www.context-awesome.com/api/mcp

Install in Windsurf / VS Code / Zed / JetBrains / LM Studio / ...

Use the same URL (https://www.context-awesome.com/api/mcp) with each client's "add remote MCP" UI. See the dedicated sections below for exact snippets.

Local stdio (Claude Desktop, offline-capable)

"mcpServers": { "context-awesome": { "command": "npx", "args": ["-y", "context-awesome-mcp", "serve", "--transport", "stdio"], "env": { "CONTEXT_AWESOME_API_HOST": "https://api.context-awesome.com" } } } }

Local HTTP transport (for custom integrations)

npx context-awesome-mcp serve --transport http --port 3001

then point your client at http://localhost:3001/mcp

Local Development

git clone https://github.com/bh-rat/context-awesome.git

cd context-awesome npm install npm run build

CLI

./build/cli.js search "graph databases"

MCP server (stdio)

./build/index.js --transport stdio

MCP Inspector

npm run inspector

Backend service

This MCP server and CLI connect to backend API service that handles the heavy lifting of awesome list processing.

The backend service will be open-sourced soon, enabling the community to contribute to and benefit from the complete context-awesome ecosystem.

Additional Installation Methods

Install in Cline

"mcpServers": { "context-awesome": { "url": "https://www.context-awesome.com/api/mcp" } } }

Install in Zed

"context_servers": { "context-awesome": { "url": "https://www.context-awesome.com/api/mcp" } } }

Install in Augment Code

Click the hamburger menu
Select Settings
Navigate to Tools
Click + Add MCP
Enter URL: https://www.context-awesome.com/api/mcp
Name: Context Awesome

Install in Roo Code

"mcpServers": { "context-awesome": { "type": "streamable-http", "url": "https://www.context-awesome.com/api/mcp" } } }

Install in Gemini CLI

"mcpServers": { "context-awesome": { "httpUrl": "https://www.context-awesome.com/api/mcp" } } }

Install in Opencode

"mcp": {

"context-awesome": { "type": "remote", "url": "https://www.context-awesome.com/api/mcp", "enabled": true } }

Install in JetBrains AI Assistant

Go to Settings -> Tools -> AI Assistant -> Model Context Protocol (MCP)
Click + Add
Configure URL: https://www.context-awesome.com/api/mcp
Click OK and Apply

Install in Kiro

Navigate Kiro > MCP Servers
Click + Add
Configure URL: https://www.context-awesome.com/api/mcp
Click Save

Install in Trae

"mcpServers": { "context-awesome": { "url": "https://www.context-awesome.com/api/mcp" } } }

Install in Amazon Q Developer CLI

"mcpServers": { "context-awesome": { "url": "https://www.context-awesome.com/api/mcp" } } }

Install in Warp

Navigate Settings > AI > Manage MCP servers
Click + Add
Configure URL: https://www.context-awesome.com/api/mcp
Click Save

Install in Copilot Coding Agent

"mcpServers": { "context-awesome": { "type": "http", "url": "https://www.context-awesome.com/api/mcp", "tools": ["find_awesome_section", "search_awesome_items", "get_awesome_items"] } } }

Install in LM Studio

Navigate to Program > Install > Edit mcp.json
Add:

"mcpServers": { "context-awesome": { "url": "https://www.context-awesome.com/api/mcp" } } }

Install in BoltAI

"mcpServers": { "context-awesome": { "url": "https://www.context-awesome.com/api/mcp" } } }

Install in Perplexity Desktop

Navigate Perplexity > Settings
Select Connectors
Click Add Connector
Select Advanced
Enter Name: Context Awesome
Enter URL: https://www.context-awesome.com/api/mcp

Install in Visual Studio 2022

"inputs": [], "servers": { "context-awesome": { "type": "http", "url": "https://www.context-awesome.com/api/mcp" } } }

Install in Crush

"$schema": "https://charm.land/crush.json", "mcp": { "context-awesome": { "type": "http", "url": "https://www.context-awesome.com/api/mcp" } } }

Install in Rovo Dev CLI

acli rovodev mcp

Then add:

"mcpServers": { "context-awesome": { "url": "https://www.context-awesome.com/api/mcp" } } }

Install in Zencoder

Go to Zencoder menu (...)
Select Agent tools
Click Add custom MCP
Name: Context Awesome
URL: https://www.context-awesome.com/api/mcp

Install in Qodo Gen

Open Qodo Gen chat panel
Click Connect more tools
Click + Add new MCP
Add:

"mcpServers": { "context-awesome": { "url": "https://www.context-awesome.com/api/mcp" } } }

License

MIT

Contributing

Contributions are welcome! Please:

Fork the repository
Create a feature branch
Add tests for new functionality
Ensure all tests pass
Submit a pull request

Support

For issues and questions:

GitHub Issues: https://github.com/bh-rat/context-awesome/issues

Attribution

This project uses data from over 8,500 awesome lists on GitHub. See ATTRIBUTION.md for a complete list of all repositories whose data is included.

Credits

Built with:

Model Context Protocol SDK
Awesome Lists
Inspired by context7 MCP server patterns

Context Awesome

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Or run it on your computer

Or run it on your computer

Or run it on your computer

Or run it on your computer

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

OpenTakeoff

README from the maker

context-awesome : awesome references for your agents

Two Ways to Use Context Awesome

MCP Tools

CLI Commands

Install the CLI

Use the CLI without installing

Installation — MCP Clients

Remote Server (Recommended)

Local stdio (Claude Desktop, offline-capable)

Local HTTP transport (for custom integrations)

then point your client at http://localhost:3001/mcp

Local Development

CLI

MCP server (stdio)

MCP Inspector

Backend service

Additional Installation Methods

License

Contributing

Support

Attribution

Credits