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"Using PostgreSQL with Docker" matching MCP servers:

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    PostgreSQL-backed MCP server for deep Bible study, integrating 140+ translations, Greek/Hebrew lexicons, cross-references, and semantic search.
    MIT
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    MCP server for predictalot, providing streamable HTTP tools for zero-shot time-series forecasting with multiple foundation models and per-type ensembles. Tabular ML endpoints are currently HTTP-only.
    2
    Do What The F*ck You Want To Public
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    A personality analysis server that creates persons with traits, adds descriptions to update personality, and finds matches for job descriptions using Euclidean distance.
    2
    MIT No Attribution
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    Enables semantic search and management of Zotero reference libraries using PostgreSQL with pg-vector and OpenAI/Ollama embeddings. Provides AI-powered search, full-text extraction, metadata access, annotations, notes, tags, and collections management.
    3
    MIT
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    Enables deploying an Earth Engine MCP server in Docker, integrating with Claude Desktop to perform geospatial analysis using 11 Earth Engine tools for tasks like wildfire risk, flood risk, and agricultural monitoring.
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    MIT
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    MCP server for local, source-agnostic research, turning briefs into platform-specific searches and cited evidence dossiers with PostgreSQL storage and optional browser capture.
    MIT
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    Enables NSE stock market research with screening, quotes, peer comparison, watchlists, alerts, and strategies using natural language.
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    Enables searching and viewing 1.89 million entries of the Seungjeongwon Ilgi and 380,000 articles of the Annals of the Joseon Dynasty from a local PostgreSQL database via Claude Desktop.
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    Enables hierarchical problem analysis using logic trees with MECE validation, hypothesis generation, and feasibility assessment for structured decision-making.
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    MCP server for querying hydroponic sensor data stored in PostgreSQL/TimescaleDB. Provides tools to list tables, describe schemas, read recent sensor readings, fetch latest data, and perform time-series aggregations via natural language.
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    Enables protein stability prediction ($DeltaDelta$G and $Delta$Tm) and systematic mutation analysis using the SPIRED-Stab deep learning model. It supports single variant analysis, batch processing, and job monitoring via Docker-based inference.
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    Real-time Indian stock market assistant with virtual trading, technical analysis, options chain, and portfolio management, using free APIs and integrated with Claude Desktop via MCP.