Schema | AI Research MCP Server

AI Research MCP Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
`CACHE_DIR`	No	Cache directory (optional, defaults to .cache)	.cache
`GITHUB_TOKEN`	No	GitHub Personal Access Token to increase API rate limits from 60 req/h to 5000 req/h
`CACHE_EXPIRY_ARXIV`	No	Cache expiry time for arXiv search results in seconds (2 hours)	7200
`CACHE_EXPIRY_GITHUB`	No	Cache expiry time for GitHub API results in seconds (1 hour)	3600
`CACHE_EXPIRY_SUMMARY`	No	Cache expiry time for daily/weekly summaries in seconds (24 hours)	86400

Server capabilities have not been inspected yet.

Functions exposed to the LLM to take actions

Name	Description
search_latest_papersC	Search for latest AI/ML research papers from multiple sources (arXiv, Papers with Code, Hugging Face)
search_github_reposC	Search for trending AI/ML GitHub repositories
get_daily_papersB	Get today's featured AI papers from Hugging Face
get_trending_reposC	Get trending AI/ML repositories on GitHub
get_trending_modelsB	Get trending AI models from Hugging Face
search_by_areaB	Search papers and repos by research area (llm, vision, robotics, bioinfo, etc.)
generate_daily_summaryC	Generate a comprehensive daily summary of AI research activity
generate_weekly_summaryC	Generate a comprehensive weekly summary of AI research activity

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
`Daily AI Research Summary`	Today's AI research summary including papers, repos, and models
`Weekly AI Research Summary`	This week's AI research summary

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