Context Awesome

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 :

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

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

Two Ways to Use Context Awesome

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.

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

1. Click the hamburger menu
2. Select Settings
3. Navigate to Tools
4. Click + Add MCP
5. Enter URL: https://www.context-awesome.com/api/mcp
6. 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

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

Install in Kiro

1. Navigate Kiro > MCP Servers
2. Click + Add
3. Configure URL: https://www.context-awesome.com/api/mcp
4. 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

1. Navigate Settings > AI > Manage MCP servers
2. Click + Add
3. Configure URL: https://www.context-awesome.com/api/mcp
4. 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

1. Navigate to Program > Install > Edit mcp.json
2. 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

1. Navigate Perplexity > Settings
2. Select Connectors
3. Click Add Connector
4. Select Advanced
5. Enter Name: Context Awesome
6. 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

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

Install in Qodo Gen

1. Open Qodo Gen chat panel
2. Click Connect more tools
3. Click + Add new MCP
4. Add:

{

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

License

MIT

Contributing

Contributions are welcome! Please:

1. Fork the repository
2. Create a feature branch
3. Add tests for new functionality
4. Ensure all tests pass
5. 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