Context Awesome
io.github.bh-rat/context-awesome · v0.1.1
MCP server for accessing curated awesome list documentation
MCPremotelocal · npmno credentialsDeveloper tools
Reported outcomes
No reports yet.
Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 2 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
A 95/100
What it does: 2 tools · 2 read, 0 write · Developer tools
Test call get_awesome_items: worked (1,045 ms)
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: +10
- Read/write annotations: 0
- Safe test call: +20
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
Install
Remote URL
https://www.context-awesome.com/api/mcpPackage
registry: npm
identifier: context-awesome
version: 0.1.1
transport: stdioTools
2 tools listed at last check
find_awesome_sectionDiscovers 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. Analyget_awesome_itemsRetrieves 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.
Badge
Markdown for your README
[](https://clawy.uk/mcp/s/io.github.bh-rat/context-awesome)