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  • A
    license
    A
    quality
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    maintenance
    An MCP server that provides targeted PostgreSQL schema access to AI agents, retrieving only relevant tables for a question and enforcing read-only access through multiple layers.
    4
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    A read-only PostgreSQL MCP server for AI coding agents that exposes database schema and sample data as tools, with LLM-powered semantic search enriched by a user-authored semantic layer.
    4
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables AI assistants to query PostgreSQL databases, inspect schemas, and retrieve complete DDL with built-in read-only protection. It supports multiple database connections and allows for secure database interaction and exploration via the Model Context Protocol.
    5
    39
    1
    MIT
  • F
    license
    C
    quality
    D
    maintenance
    Enables web search capabilities through the Tavily API, allowing users to search the internet for information using natural language queries. Demonstrates MCP server implementation with external API integration.
    3
  • A
    license
    -
    quality
    C
    maintenance
    Enables semantic search across PostgreSQL, TimescaleDB, and PostGIS documentation to help AI coding assistants write better PostgreSQL code.
    38
    1,808
    Apache 2.0
  • A
    license
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    quality
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    maintenance
    Integrates EdgeOne Pages Functions with large language models to retrieve and utilize user geolocation information through the Model Context Protocol (MCP).
    1
    MIT
  • F
    license
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    quality
    D
    maintenance
    Enables natural language querying of PostgreSQL databases through the Model Context Protocol. It translates user questions into validated SQL, executes read-only queries safely, and returns results to MCP-compatible clients like Claude Desktop.
  • F
    license
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    quality
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    maintenance
    A PostgreSQL MCP server that automatically detects and obfuscates personally identifiable information (PII) in query results using column-name heuristics and NLP analysis. It enables AI agents to interact securely with databases by masking sensitive data by default while allowing selective unmasking under user control.
    4