Context Awesome MCP
An MCP server that indexes over 8,500 community-curated awesome lists from GitHub, enabling AI agents to discover and retrieve high-quality, vetted resources across various domains like ML, security, and devtools without relying on random search results.
Package and access
Local package with source-attributed installation metadata. Koskamo does not execute packages during review.
What you can do with it
- Find the best machine learning resources for Python
- Discover sections and categories across awesome lists matching a query
- Fetch curated resources from a specific list or section with token limiting
- Screen agents for high-quality references for knowledge work
Source and maintenance
- Maintenance checked
Packages and installation
Source-provided package data. Koskamo has not executed or live-probed this package.
context-awesome 0.1.1
{
"version": "0.1.1",
"transport": "stdio",
"identifier": "context-awesome",
"registryType": "npm"
}Tools
Reported by the attributed source; not independently observed by Koskamo.
Connect from your client
Each snippet configures the same source-provided package; replace placeholders before use.
Cursor
{
"mcpServers": {
"context-awesome-mcp": {
"command": "npx",
"args": [
"-y",
"context-awesome@0.1.1"
]
}
}
}Cline
{
"mcpServers": {
"context-awesome-mcp": {
"command": "npx",
"args": [
"-y",
"context-awesome@0.1.1"
]
}
}
}VS Code
{
"servers": {
"context-awesome-mcp": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"context-awesome@0.1.1"
]
}
}
}Claude Desktop
{
"mcpServers": {
"context-awesome-mcp": {
"command": "npx",
"args": [
"-y",
"context-awesome@0.1.1"
]
}
}
}Let your agent find its tools
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