"Understanding Crypto Execution in Financial Markets" matching MCP servers:

Offline documentation and API method queries for multiple cryptocurrency exchanges including Gate.io, Bybit, Binance, Bitget, OKX, and OKX DEX.

Exposes a small catalog of programming study topics through the Model Context Protocol (MCP) for local learning.

Enables interaction with Zhejiang University's learning platform (学在浙大 / 智云课堂) via MCP tools, allowing natural language commands to check todos, view schedules, fetch lecture transcripts, and submit homework.

MCP server for ProjectionLab — export, snapshot, and restore your financial plans. Includes a built-in FIRE advisor knowledge base.

Connects AI agents with Swagger/Knife4j API documentation, enabling real-time retrieval, search, and structured understanding of API interfaces, parameters, and schemas.

High-performance code understanding toolkit that enables batch reading of multiple files with dependency context, structural outline extraction with Java annotation awareness, and precise location of classes/methods across large codebases.

Provides AI assistants with comprehensive access to real-time and historical financial market data including stocks, options, crypto, and forex through the InsightSentry API. Supports 28+ specialized tools for market analysis, screening, and news retrieval, functioning as both an MCP server and standalone CLI.

MCP server that provides AI coding agents automatic access to AGENTS.md documentation from GitHub repositories, enabling understanding of codebase conventions and patterns.

Enables execution and analysis of Pylpex code through an interpreter, supporting code execution, tokenization, variable inspection, and providing language documentation and examples.

Provides AI agents with access to Zero Network documentation, SDK integration guides, and utility tools for crypto-based payments. It enables developers to implement x402 paywalls and per-tool MCP pricing while offering real-time cost estimations and revenue calculations.

Assists AI coding agents in understanding and implementing UTCP by providing documentation search, manual validation, code generation, OpenAPI conversion, and an LLM-powered expert agent.

Provides comprehensive access to WCAG 2.2 accessibility guidelines, including all 87 success criteria with full Understanding documentation, 400+ techniques, glossary terms, and ACT test rules from official W3C data.

A Model Context Protocol (MCP) server for structured understanding of RFC documents.

Enables AI agents to plan, validate, and discover Ishtaran integrations—covering capabilities, operations, SDK methods, errors, webhooks, and recipes—without executing any financial operations.

Enables structured document understanding of local PDFs via a dual-extract MCP server, combining MinerU text/layout and Qwen3-VL vision with fusion adjudication for field extraction, tables, formulas, and validation. Fully local and offline.

Lets users interrogate an Europa Universalis V save with an AI assistant, returning real figures decoded from their own save, game files and wiki-verified rules for economy, locations, buildings, markets, diplomacy and strategy. It is read-only and reports unverifiable values as missing rather than guessing.

Provides AI assistants with access to OpenAPI specifications, enabling API discovery, schema retrieval, and direct API execution with support for OAuth 2.0 and other authentication methods.

MCP server for exploring the ECMAScript specification and its implementation, enabling semantic search of spec sections, JavaScript execution in engine262, and access to a knowledge graph linking spec sections to implementation functions.

Enables agents to search, create, edit, and step through JSON-based procedures with intent-driven search and step-by-step execution.

An MCP server that provides AI assistants with advanced document perception capabilities including text extraction, structure analysis, and deep content understanding through multiple tools and providers.