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ci671233

CBCI MCP

by ci671233

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      Enables natural language querying of SQL databases using AI, supporting multiple database types and automatic schema discovery.
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    • F
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      C
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      Enables AI assistants to query relational databases like MySQL, PostgreSQL, and Oracle using natural-language questions, dynamically discovering schemas and generating validated read-only SQL through configurable AI providers such as Groq, Claude, and Gemini.
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    • F
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      Enables natural language database querying through GPT-powered SQL generation and execution with metadata-driven validation and intermediate representation.
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    • F
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      D
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      Enables natural language interaction with heterogeneous databases (MySQL and PostgreSQL) for CRUD operations across customer, product, and sales data with intelligent query routing and visualization capabilities.
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    • F
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      A
      maintenance
      Enables LLM agents to connect to and query many database types—including PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift—through a single unified API. It provides schema retrieval and optimized query execution with normalized schemas for easier natural-language-driven data access.
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