Analyze local AI tool usage data to compute market share by tokens, cost, and messages. Ranks tools by token share for workflow dominance insights.
MIT
306,580 tools. Last updated 2026-07-27 02:50
"MCP Server for TradingView or MT5 with AI Market Data Analysis Support" matching MCP tools:
- List TradingView relay sources with optional direct-route summaries. Filters out non-TradingView and legacy scan-backed routes.MIT
- Assess a GitHub repository's trustworthiness for use as an MCP server or AI skill. Returns a trust score, verdict, and recommendation based on behavioral security analysis.MIT
- List recent inbound relay events for a TradingView source, showing per-route summary status.MIT
- Ask contextual questions about your business, competitors, market, or strategy. Uses your dashboard data for accurate AI answers.MIT
- Add a direct relay destination to a TradingView source for alert delivery via telegram, webhook, discord, or email.MIT
Matching MCP Servers
- Flicense-qualityCmaintenanceA production-grade MCP server that provides tools to fetch historical stock data, company information, and technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands) via yfinance, and includes a Flask web dashboard for visual analysis.Last updated
- AlicenseAqualityBmaintenanceProvides real-time market data tools (quotes, news, earnings calendar, watchlist scanner, and composite analysis) for AI agents via Finnhub, with optional Alpaca broker integration and graceful degradation.Last updated6MIT
Matching MCP Connectors
Real-time stock quotes, history, options chains, sector performance & screening for agents.
Verified market data for AI trading agents: quality-flagged candles, funding, OI, order flow. x402.
- Get pre-packaged trade ideas for prediction markets (Kalshi & Polymarket), each with rationale and target contract, derived from AI analysis of active theses and current market data.MIT
- Get step-by-step instructions to install the Rosetta MCP server locally with PyRosetta support for scoring, structure optimization, and running RosettaScripts.MIT
- Analyze prediction market bets by initiating deep research pipelines for platforms like Kalshi and Polymarket. Provides market intelligence through causal analysis to support informed trading decisions.MIT
- Remove an MCP server from your AI client's configuration by specifying the server name. Supports removing from multiple clients at once.MIT
- Analyze cryptocurrency investments by aggregating market data, news, development activity, and sentiment indicators into comprehensive AI-synthesized intelligence reports.MIT
- Attach one or more image files for AI vision analysis. Enable the AI to see, describe, and extract text from images.MIT
- Retrieve structured pricing plans, market statistics, gap analysis, and AI insights for your competitors. Use this snapshot to inform pricing decisions.MIT
- Get a comprehensive, AI-optimized research payload for any company: identity, market summary, fundamentals history, insider trading signals with forward returns, and suggested analysis steps. Ideal for deep research in one call.MIT
- Retrieve put/call ratio data for a stock ticker to assess market sentiment and options flow, identifying potential reversals or institutional hedging activity.MIT
- Read the symbols, exchange, and interval from each open TradingView chart window. Enables read-only analysis of current market data.MIT
- Analyze MCP server security before installation by exporting a JSON report containing tool registrations, security-classified call graphs, sensitive data flows, and per-file capability maps.MIT
- Evaluate trust for MCP servers or AI agents before connecting. Provide GitHub, npm, or PyPI identifiers to receive a verdict based on HVTracker evidence.MIT
- Explore available resources, tools, and capabilities within the Axom MCP Server to support AI agents with environment discovery and tool chaining.MIT
- Retrieves historical candlestick data for technical analysis, identifying support/resistance levels, calculating indicators, and backtesting strategies.MIT