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"Examples of MCPs (Microservices Communication Protocols) That Do Not Require API Keys" matching MCP servers:

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    List of small useful mcp servers including: * docx\_replace: replace tag in word document * yt-dlp: extract chaper and subtitles base on chapter * mermaid: generate and render image using mermaidchart.com API
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    MIT
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    Implements an MCP server using Cloudflare Durable Objects with SSE transport, enabling remote MCP client connections.
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    Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.
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    MCP gateway for GREEN-API WhatsApp that lets AI agents send messages, manage instances, and receive notifications via WhatsApp using the Model Context Protocol.
    MIT
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    Gateway connector between LLM agents and world data, providing access to financial market prices, macroeconomic indicators, and news through a bundled endpoint catalog.
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    Verified Singapore property, tax, affordability, salary, and location data for AI agents. 17 MCP tools, x402 micropayments, source provenance on every response. Singapore live now, more markets coming. Categories: Finance, Real Estate, Data, Singapore, x402, Payments, Government Data
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    Manage and monitor Hadoop clusters via Apache Ambari API, enabling service operations, configuration changes, status checks, and request tracking through a unified MCP interface for simplified administration. * Guide: https://call518.medium.com/llm-based-ambari-control-via-mcp-8668a2b5ffb9
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    Python MCP server that provides comprehensive access to MLB statistics and baseball data through a FastAPI-based interface. Acts as a bridge between AI applications and MLB data sources, enabling seamless integration of baseball statistics, game information, player data, and more.
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    Enables AI to manage and interact with a running magic-api instance, including CRUD operations on APIs, groups, functions, and datasources, with built-in magic-script knowledge.
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    Monitor and manage Apache Airflow clusters through natural language queries via MCP tools: DAG inspection, task monitoring, health checks, and cluster analytics without API complexity. * Guide: https://call518.medium.com/mcp-airflow-api-a-model-context-protocol-mcp-server-for-apache-airflow-5dfdfb2
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    A Model Context Protocol server that enables Claude to interact with WhatsApp through the Evolution API, allowing for message sending, contact management, group operations, and WhatsApp instance administration.
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    MIT