Context Awesome

io.github.bh-rat/context-awesomeVersion 0.1.1

MCP server for accessing curated awesome list documentation

Status

Responds225 msNov 14, 2026, 14:46 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:46 UTC
Latency: 225 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 21:12 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP

https://www.context-awesome.com/api/mcpResponds225 msNov 14, 2026, 14:46 UTC

No sign-in

Claude Code

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

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: context-awesome
Remote MCP server URL: https://www.context-awesome.com/api/mcp

Cursor

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

VS Code

code --add-mcp '{"name":"context-awesome","type":"http","url":"https://www.context-awesome.com/api/mcp"}'

Streamable HTTP

npm: context-awesome 0.1.1

Package only

npm (npx)

claude mcp add context-awesome -- npx -y context-awesome@0.1.1

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Tools

2 tools

Tools of Context Awesome
	Description		Read-only	Idempotent	Open world
`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.	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.	Not declared	Not declared	Not declared	Not declared
`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.	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.	Not declared	Not declared	Not declared	Not declared

Details

Registry status: Active
Published: Jun 10, 2026
Updated: Jun 10, 2026
Website: https://www.context-awesome.com/⁠ (opens in a new tab)
Repository: https://github.com/bh-rat/context-awesome⁠ (opens in a new tab)
Categories (suggested): Knowledge and notesSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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