Tools

MCP Tools

The server exposes 9 tools across 6 engines, allowing LLMs to choose the right tool for the specific task.

web_search: Performs universal web and news searches. Use this for quick, broad discovery.
fetch_page: Extracts clean, main-content text from a given URL. Ideal for reading articles.
search_docs: Targeted search on specific domains (e.g., docs.python.org). Use this for technical documentation.

reddit_search: Search Reddit via keyless RSS and shreddit enrichment. Excellent for finding community sentiment, real-user experiences, and discussions.

hackernews_search: Search Hacker News via the Algolia API. Great for developer opinions, startup discussions, and technical news. No API key needed. Supports depth control for comment enrichment.

github_search: Search GitHub Issues and PRs across repositories. Great for bug reports, feature requests, and community sentiment on open-source projects. Optionally uses GITHUB_TOKEN or gh CLI for higher rate limits.

polymarket_search: Search Polymarket prediction markets via the Gamma API. Great for odds, market signals, and crowd-sourced probability estimates. No API key needed.

groq_browse: Interactive browser search via GPT-OSS models. Provides a more synthesized view of the web.
groq_research: Deep research tool that auto-selects the best search strategy and tools to validate findings.
groq_analyze_page: Visits a URL and interprets its content in a single step.

Task	Tool
Quick web search	`web_search`
Read an article	`fetch_page`
Community opinions	`reddit_search` or `hackernews_search`
Code/issue lookup	`github_search`
Prediction/probability check	`polymarket_search`
Technical documentation	`search_docs`
Deep research	`groq_research`
Interactive browsing	`groq_browse`
URL analysis	`groq_analyze_page`