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    The official Redis MCP Server is a natural language interface designed for agentic applications to efficiently manage and search data in Redis.
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    MIT
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    Lightweight MCP server for Redis that allows running any Redis command and searching Redis documentation. Supports multiple named databases with HTTP/REST or TCP transport.
    46
    MIT
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    This read-only MCP Server allows you to connect to Redis data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).
    MIT
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    Enables AI assistants to search Twitter/X, YouTube, Reddit, Google, app-store listings, and 100+ other public web data endpoints via natural language, with prepaid credit or per-call USDC payment and no account or OAuth required.
    5
    MIT
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    Governance circuit-breaker MCP server that enables AI agents to request risk-based decisions, approve or deny actions, and finalize outcomes with full audit receipts.
    4
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    Provides AI-enabled access to Amazon Business API documentation, sample code, and troubleshooting resources. Enables developers to search and retrieve API documentation, generate integration code, and get guided solutions for common errors during the API integration process.
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    Apache 2.0
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    MCP server that gives autonomous agents pay-per-call Bitcoin context (self-custody radar, fee percentiles, price change windows, condition frequencies) paid in sats over Lightning via L402 invoices, with no account or API key required.
    7
    MIT
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    Connects AI assistants like Claude and Cursor to LinkForty deep links and analytics, enabling natural language management of links, analytics, templates, projects, and SDK integration.
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    MIT
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    Enables AI assistants to manage CData Sync operations, including data synchronization jobs, connections, and ETL processes through stdio or HTTP transports. It provides tools for executing jobs, monitoring real-time progress via Server-Sent Events, and handling comprehensive workspace configurations.
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    MIT
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    Deploy and manage Bult.ai cloud hosting projects from MCP clients like Cursor, Claude Desktop, and Claude Code. Create projects and services, deploy GitHub repositories or Docker images, manage routes and volumes, inspect logs, and troubleshoot deployments from your AI assistant.
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    MIT
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    Jungle Grid MCP Server lets AI agents submit, estimate, monitor, and retrieve logs for GPU workloads through Jungle Grid. It enables agentic execution for inference, training, fine-tuning, and batch jobs without manually choosing GPU providers or infrastructure.
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    MIT