Context Awesome MCP Server

by bh-rat Your server? Claim it

answering

Context Awesome is answering right now. Last checked 1 min ago. 203 installs a week from npm. It exposes 2 tools. Last commit 10 Jun 2026.

MCP server for accessing curated awesome list documentation

Installs per day peak 26 · avg 10 · -20% w/w

a month agotoday

Uptime history 47 days of history · worst day 50%

47 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

281 ms

Response time

average over 24h

203

Installs / week

npm and PyPI

Nothing serious here today

Today is the operative word: we check Context Awesome every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 1 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

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

~/Library/Application Support/Claude/claude_desktop_config.json

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

~/.codex/config.toml

[mcp_servers.context-awesome]
url = "https://www.context-awesome.com/api/mcp"

.cursor/mcp.json

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

.vscode/mcp.json

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

Available tools 2

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

awesome

find_awesome_section

Discovers sections/categories across awesome lists matching a search query and returns matching sections from awesome lists. You MUST call this function before 'get_awesome_items' to discover available sections UNLESS the user explicitly provides a githubRepo or listId. Selection Process: 1. Analyze the query to understand what type of resources the user is looking for 2. Return the most relevant matches based on: - Name similarity to the query and the awesome lists section - Category/section relevance of the awesome lists - Number of items in the section - Confidence score Response Format: - Returns matching sections of the awesome lists with metadata - Includes repository information, item counts, and confidence score - Use the githubRepo or listId with relevant sections from results for get_awesome_items For ambiguous queries, multiple relevant sections will be returned for the user to choose from.

get_awesome_items

Retrieves items from a specific awesome list or section with token limiting. You must call 'find_awesome_section' first to discover available sections, UNLESS the user explicitly provides a githubRepo or listId.

Endpoints

URL	Transport	State	Latency	Checked
https://www.context-awesome.com/api/mcp	streamable-http	answering	232 ms	1 min ago

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Context Awesome — questions

Answers built from our own checks of this server.

What can Context Awesome do?

It exposes 2 tools, read directly from the server on our last check. Among them: find_awesome_section, get_awesome_items. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Context Awesome working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 281 ms. The bar chart above shows every period we have measured.

How do I connect Context Awesome?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Context Awesome need an API key?

No. Context Awesome completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 2 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Context Awesome?

It answers our handshake in 281 ms on average, which is faster than 53% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.

How many people use Context Awesome?

The npm package context-awesome was installed 203 times in the last week. Week over week that is -20%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.

Is Context Awesome open source?

Yes — it is published under the MIT licence, written in TypeScript, 59 stars on GitHub and 1 open issue. The source link is on this page, so you can read exactly what it does with your data before you connect it.