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"Information about CoinGecko API or Node Integration" matching MCP servers:

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    A Node.js Express server that provides access to CoinGecko's cryptocurrency data through a comprehensive API interface, supporting both free and Pro APIs with automatic fallback functionality.
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    MIT
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    Agent-ready API for Coingecko, providing direct access to cryptocurrency data endpoints without authentication.
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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
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    MCP server providing 30 tools to access and manage Monarch Money financial data, including accounts, transactions, budgets, and more, enabling AI assistants to interact with personal finances.
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    Enables playing a Workato-themed text-based RPG through MCP tools, allowing users to explore dungeons, battle enemies, and manage character progression in an integration-themed adventure.
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    Free DEX aggregator API that returns executable swap calldata across 46 EVM chains. No API key required. Single GET request returns ready-to-sign transactions for any token pair.
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    MIT
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    An MCP server that offers arithmetic operations (addition and division) and current weather data from OpenWeatherMap. It serves as a learning project for building MCP servers with Node.js and TypeScript, supporting both stdio and Streamable HTTP transports.
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    ISC
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    A powerful and flexible Node.js Express server that provides a comprehensive interface to the CoinGecko cryptocurrency data API. This server supports both the free public API and the Pro API with automatic fallback.
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    MIT
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    Read-only MCP server that monitors a Bitcoin Core full node via JSON-RPC, providing tools to check node status, network info, mempool, and peer information.
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    A Model Context Protocol server for Node-RED integration, enabling AI agents to manage flows, install modules, and monitor Node-RED instances via natural language.
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