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    Enables retrieval and analysis of graph data from the Pythagraph RED API. Provides detailed graph statistics, node/edge distributions, and formatted table outputs for data visualization and analysis.
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    Enables AI to safely view and operate Redis databases with read-only mode by default and support for key operations.
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    MIT
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    Model Context Protocol (MCP) server that integrates Redash with AI assistants like Claude, allowing them to query data, manage visualizations, and interact with dashboards through natural language.
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    Enables interaction with Redash instances through a standardized interface, allowing users to execute SQL queries, manage data sources, and retrieve query results using natural language.
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    Enables interaction with Redash through its API to execute SQL queries, retrieve results, and manage data sources. It allows users to query data and explore data sources directly through natural language interfaces.
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    A Model Context Protocol server that enables AI assistants to interact with Amazon Redshift databases, allowing for schema exploration, query execution, and statistics collection.
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    Apache 2.0
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    Enables AI assistants to perform comprehensive Redis database operations including managing strings, hashes, lists, sets, sorted sets, TTL management, and data backup/restore. Supports secure connections and provides batch operations for efficient Redis interaction through natural language.
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    MCP server for Redis with data operations, permission control, and operation logging. Supports key management, dynamic tool lists, and auto-reconnection.
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    MIT
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    Enables executing SQL queries, exploring database schemas, and exporting results from Redash via MCP, with ad-hoc queries and write protection.
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    MIT
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    Emulates Orbus Infinity and ServiceNow CMDB as two MCP endpoints on a shared synthetic dataset to enable a reconciliation agent to compare architectural and operational data.
    Last updated