"Tools for accessing cryptocurrency market information" matching MCP servers:

A 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.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

Enables Claude to read Moscow Exchange market data and T-Invest brokerage account data, including quotes, candles, order books, dividends, portfolio, and operations. It is read-only and does not place orders.

MCP server providing agricultural market intelligence tools (price, margin, trend, report generation) that can be used by any MCP client to answer multi-step queries about commodity markets.

Enables product search, store price comparison, basket comparison, and price history review using Market Fiyatı data through a stdio MCP server.

Gives AI assistants live Indian market data without any API keys, spanning NSE quotes and indices, option chains with Greeks, max pain and OI analytics, company financials, shareholding and corporate actions, plus mutual fund NAVs and trailing returns. It also ships research, market-brief and options-positioning prompts so users can compare stocks, trace sector leadership or size up an expiry through natural language.

Provides natural language access to over 100 years of historical market index data, including S\&P 500, NASDAQ 100, and Nikkei 225. It enables users to query price ranges, compare symbol performance, and analyze historical market trends directly within Claude.

Enables AI agents to conduct local, auditable opportunity discovery by collecting public discussions, tracing claims to exact quotes and source provenance, testing claims with counterevidence, and exporting deterministic evidence packs.

A local MCP server that enables AI applications like Claude Desktop to securely access and work with Obsidian vaults, providing capabilities for reading notes, executing templates, and performing semantic searches.

Enables querying Albion Online market data to find profitable refining opportunities by analyzing prices, recipes, resource return rates, and taxes. Provides deterministic profit calculations and explains trade-offs through natural language.

Enables agents to access live crypto market data and execute risk-controlled paper trades through standardized MCP tool calls.

MCP server for personal knowledge management providing AI-powered tools for semantic search, audio transcription, image generation, and PPT creation.

A fashion vertical MCP server providing tools for product SEO audits and trend analysis to integrate with AI agents like Claude, Cursor, and Codex.

Provides five safe tools (calc, search, model_drift, compare_runs, grade_answer) for arithmetic, keyword search, model drift monitoring, eval comparison, and answer grading against sources, all implemented directly from the MCP spec with zero dependencies.

An MCP server that provides a persistent sandbox for AI coding agents to explore codebases server-side, returning only compact summaries to reduce context consumption.

Enables extraction of recipes from PDFs or JPG files and conversion into structured HTML, with interactive region selection and OCR via a web GUI.

Live market intelligence for AI agents, paid per call in USDC on Base via x402 — no API key or signup. SEC insider trades and insider cluster buying, Polymarket and Kalshi prediction-market odds and 24h movers, 24 US macro indicators with an economic release calendar, and analytics on the x402 agent economy (service rankings, trends, pricing, and a usage-ranked search for paid APIs). Data refreshe

Enables agents to compress JPEG, PNG, and WebP images to a target byte size, split PDFs by page or ranges, and remove image metadata while processing local files without sending file bytes over the network.

Enables AI assistants to search YouTube, fetch transcripts, and get AI summaries of videos without API keys.

Enables comparing and recommending AI models based on scenario-specific criteria such as capability, context, relative cost, and self-hosting, with explanations of the scoring weights.