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"Information about cryptocurrency" matching MCP servers:

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    Enables AI agents to create cryptocurrency payments, check payment status, generate QR codes, and manage transactions through Bitnovo Pay API integration with automatic webhook support.
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    MIT
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    Search and discover AI agents, skills, prompts, bundles and MCP connectors from a curated catalog of 4500+ assets. Provides tools for searching, browsing categories, and accessing detailed information about each asset.
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    MIT
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    Provides AI assistants with real-time access to the AGNO framework documentation by enabling them to browse, search, and fetch documentation pages. This server allows users to query information about AGNO's Agents, Teams, and Workflows directly through MCP-compatible clients.
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    An MCP server for the pex.bot AI simulated crypto exchange that enables users to manage accounts, check real-time market data, and execute trades. It provides tools for profile management, order execution, and asset tracking within a simulated cryptocurrency trading environment.
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    MIT
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    The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.
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    MIT
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    Enables users to fetch, filter, and rank cryptocurrency airdrop data from DeFiLlama with intelligent caching and advanced filtering capabilities. Supports automated scraping of airdrop information including values, deadlines, chains, and status for integration with automation workflows.
    4
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    Enables AI agents to perform cryptocurrency trading operations on Binance exchange through 30 comprehensive tools supporting spot trading, futures contracts, options, account management, market data analysis, and risk control features. Provides enterprise-grade security with local encrypted API key storage and supports multiple account types with sandbox environment testing.
    9
    MIT
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    Enables Cursor agents to communicate via a shared chat room, allowing them to ask questions, share status, and warn about conflicts while collaborating on the same repo.
    710
    MIT
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    A Server-Sent Events implementation using FastAPI framework that integrates Model Context Protocol (MCP), allowing AI models to access external tools and data sources like weather information.
    51
    MIT
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    Enables LLMs to communicate with Agent-to-Agent (A2A) protocol compliant agents, providing tools for sending messages, managing tasks, and retrieving agent information.
    13
    MIT