mcpbeat

Context Awesome MCP Server

io.github.bh-rat/context-awesome
not responding

Context Awesome is listed as active in the registry but did not answer our last check. 51 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 9 · -12% w/w
a month agotoday
Uptime history 43 hours of history · worst hour 0%
43 hours agonow
76.9%
Uptime 24h
70 of 91 checks
2
Tools
read from the server
295 ms
Response time
average over 24h
51
Installs / week
npm and PyPI

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 11 min ago.

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

URLTransportStateLatencyChecked
https://www.context-awesome.com/api/mcp streamable-http answering 103 ms 11 min ago

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 70 of 91 checks got a reply (76.9%), average response time 295 ms. The bar chart above shows every period we have measured.
The registry lists Context Awesome as active — why does it not respond?
The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.
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 295 ms on average, which is faster than 47% 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 51 times in the last week. Week over week that is -12%. 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 and 57 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.