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M MCP Servers Developer low

bh-rat/context-awesome

by Various

awesome-lists now available as CLI & MCP server for your agent.

B

MCP

bh-rat/context-awesome

Added 1 June 2026

#agents #awesome #awesome-list #llm #mcp #mcp-server

Overview

context-awesome is a CLI and MCP server that exposes curated awesome-lists for use by AI agents. It runs on TypeScript and allows agents to query lists of resources directly from the command line or through MCP integration.

Best for

Best for
Developers building context-aware agents that need quick access to curated resource lists

Use cases

  • Providing curated reference lists to AI agents during development
  • Querying awesome-lists from the command line for quick access
  • Integrating contextual knowledge into MCP-compatible agent tools

How to use

Install

npx context-awesome search "vector database"

Tools exposed

  • find_awesome_section
  • search_awesome_items
  • get_awesome_items

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, Cline, VS Code

Notes

context-awesome is a CLI and MCP server that exposes curated awesome-lists for use by AI agents. It runs on TypeScript and allows agents to query lists of resources directly from the command line or through MCP integration.

52 stars on GitHub. Last updated 2026-04-21. Licensed MIT.

Use cases

  • Providing curated reference lists to AI agents during development
  • Querying awesome-lists from the command line for quick access
  • Integrating contextual knowledge into MCP-compatible agent tools

Pros

  • Open source with a TypeScript codebase easy to extend
  • Bridges the gap between static awesome-lists and agent workflows
  • Lightweight and simple to run as a CLI or server

Cons

  • Small community with only 52 stars and limited adoption
  • Niche use case only beneficial for MCP or CLI-based agents
  • Relies on the quality and freshness of the underlying awesome-lists

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open source with a TypeScript codebase easy to extend
  • Bridges the gap between static awesome-lists and agent workflows
  • Lightweight and simple to run as a CLI or server

Cons

  • Small community with only 52 stars and limited adoption
  • Niche use case only beneficial for MCP or CLI-based agents
  • Relies on the quality and freshness of the underlying awesome-lists
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