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Glama

context-awesome

by bh-rat

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
CONTEXT_AWESOME_API_HOSTNoBackend API hosthttps://api.context-awesome.com

Schema

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Tools

Functions exposed to the LLM to take actions

NameDescription
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.

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/bh-rat/context-awesome'

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