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"Fetching data from crypto markets and exchanges" matching MCP servers:

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    An MCP server for operating headless MetaTrader 5 terminals — over SSH, from your agent.
    MIT
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    Enables secure remote access to your computer's filesystem and terminal through MCP, allowing AI assistants to manage files, run commands, and automate tasks from anywhere via a hosted relay.
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    Enables spawning, interacting with, and capturing screen output from terminal-based programs for debugging PTY/TTY/TUI applications.
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    MIT
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    MCP server for managing VPS servers via SSH, enabling command execution, file transfer, Docker management, and server documentation from within Claude.
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    ISC
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    Convex’s MCP server lets you introspect tables, call functions, and read/write data seamlessly. Agents can generate one-off queries safely—thanks to Convex’s sandboxed queries, ensuring data integrity. Perfect for AI automation, real-time apps, and dynamic data access.
    12,348
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    A lightweight Node.js MCP server with zero dependencies offering 9 built-in tools for system info, web fetching, GitHub search, file operations, shell execution, and key-value memory, enabling AI agents to perform these tasks via the Model Context Protocol.
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    agentic_ssh is written in Rust and specifically engineered to provide agent-hardened, token-efficient, and asynchronous SSH orchestrations for AI agents. It automatically discovers hosts from your local SSH configurations, manages connection heartbeats, handles silent network dropouts, and supports detached background job scheduling with isolated session logging
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    Apache 2.0
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    A local-first redacting MCP gateway that strips secrets from file reads and shell output before they reach an AI coding agent's context, the command still runs with the real credential, but the model never sees it.
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    MIT
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    Enables executing commands and transferring files over SSH on multiple hosts concurrently, with auto-discovery from SSH config and support for various authentication methods.
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    MIT
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    Enables Claude Desktop to interact with and view tmux session content, allowing AI assistants to read from, control, and observe terminal sessions.
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    MIT
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    Enables AI assistants to execute shell commands and manage long-running processes within persistent tmux sessions across isolated workspaces. It features a dual-window architecture to separate raw command execution from interactive terminal output.
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    MIT
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    MCP server to control Onda terminal from AI agents, providing tools for splitting panes, running commands, managing tabs and workspaces, and orchestrating multi-agent workflows across multiple windows.
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    MIT