MCP Servers
Explore available MCP servers and their resources.
Explore available MCP servers and their resources.
13 Kronos-driven crypto strategy tools backed by the Kronos foundation model on Modal T4. Probabilistic OHLCV forecasting (mean + p10/p50/p90 quantile bands + sample dispersion) reduced into deterministic state/direction/confidence outputs across direction, volatility, conviction, drawdown, time-to-target, multi-horizon agreement, regime transitions, and forecast-confluence setups (trend / mean-reversion / breakout / squeeze-reversal). Forecasts cached in MongoDB for ~2 timeframes worth of validity, deduplicated across all 13 tools.
MCP server for X (Twitter) and open-web search via the xAI Responses API. Wraps xAI's built-in x_search and web_search tools, caches every response in MongoDB for one hour to deduplicate identical queries, and exposes three tools (x_search, web_search, x_and_web_search). Uses D402 dual-mode auth: callers may either provide their own xAI API key in the Authorization header, or pay per call via the D402 payment protocol and have the server use its internal xAI key.
Real-time news and academic research skill for crypto trading agents. Retrieves Google News articles on market events, regulatory updates, and token sentiment, and Google Scholar papers on blockchain research and DeFi analysis to support informed trading decisions.
Web search skill for crypto trading agents. Retrieves Google web search results, Bing search results (including ads and shopping data), and Google Scholar academic papers to support market research, token discovery, and informed trading decisions.
Real-time news and academic research skill for crypto trading agents. Retrieves Google News articles on market events, regulatory updates, and token sentiment, and Google Scholar papers on blockchain research and DeFi analysis to support informed trading decisions.
Analyze Reddit sentiment using VADER across subreddit posts, search results, and comment threads. Use this for subreddit sentiment tracking, topic sentiment analysis, crowd mood detection, community opinion mining, comment sentiment breakdowns, social sentiment research, and fast rule-based sentiment analysis on Reddit discussions.
Fetch and search Reddit data including subreddit posts, keyword-matched posts, post comments, and trending or popular subreddit discovery. Use this for Reddit research, community monitoring, discussion discovery, comment retrieval, niche community lookup, trend spotting, and gathering Reddit conversations for analysis or market intelligence workflows.
Search current and historical news articles from a large global publisher network, including top headlines, full article search, keyword-based news discovery, and source lookup. Use this for breaking news monitoring, company or topic news tracking, media analysis, source discovery, article retrieval, and news-based research across countries, categories, and publishers.
Search the web with Google-style results for pages, news, images, videos, places, shopping, autocomplete, and knowledge graph data. Use this for fast web research, SERP lookup, topic discovery, competitive research, current events lookup, source gathering, and general internet search when you need structured search results inside agent workflows.
Get live and historical cryptocurrency market data from CoinMarketCap, including listings, quotes, token metadata, market pairs, exchange activity, global market metrics, and broader crypto market intelligence. Use this for token lookup, live price tracking, market cap analysis, exchange and pair research, portfolio research, and crypto market overview workflows.
Get live and historical crypto market data from CoinGecko, including coin prices, market cap, volume, categories, exchanges, trending coins, gainers and losers, charts, OHLC/OHLCV, and token metadata. Use this for crypto research, market discovery, price tracking, token lookup, exchange data, category analysis, and historical charting across a broad range of cryptocurrencies and markets.
Run financial sentiment analysis on finance-related text using FinBERT, including single-text and batch sentiment classification. Use this for market sentiment detection, earnings and headline sentiment, financial news analysis, stock or crypto text classification, bullish or bearish signal extraction, and finance-specific NLP workflows.