"Using PostgreSQL with Docker" matching MCP servers:

An MCP server that enables advanced CSV analysis and data visualization using Google's Gemini AI and Plotly. It allows users to perform exploratory data analysis, generate interactive charts, and conduct complex reasoning on tabular data.

MCP server for indexing and searching reaction-step-level synthesis routes from local SciFinder exports, designed for Docker/NAS deployment.

PostgreSQL-backed MCP server for deep Bible study, integrating 140+ translations, Greek/Hebrew lexicons, cross-references, and semantic search.

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.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

This server is to precess files for LNR.

MCP server for alive-analysis. Query, search, and retrieve structured analysis history written with the ALIVE loop (Ask→Look→Investigate→Voice→Evolve), plus dashboard JSON export.

Enables on-demand OHLC bar analysis with configurable technical indicators and smart-money concepts, returning only the requested primitives via stateless HTTP or MCP.

A personality analysis server that creates persons with traits, adds descriptions to update personality, and finds matches for job descriptions using Euclidean distance.

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.

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.

Provides a standardized interface for interacting with Semrush's tools and services through a unified API using the Model Context Protocol.

Exposes SPARQL-backed tools that let users run arbitrary SPARQL queries against DBpedia and search DBLP publication titles by topic to retrieve citation-count results. It serves these capabilities over Streamable HTTP, so MCP clients can call the public endpoints locally, in Docker, or on Cloud Run.

Enables searching Datafiniti's property, business, and product databases using its field:value query language, returning records with details like addresses, prices, and identifiers.

Enables business intelligence chart creation and visualization using Vega-Lite, with data loading and processing capabilities.

Custom MCP server for NotebookLM that adds audio source upload, YouTube source ingestion, source readiness polling, and transcript export, complementing standard Q&A and audio overview tools.

MCP server for local, source-agnostic research, turning briefs into platform-specific searches and cited evidence dossiers with PostgreSQL storage and optional browser capture.

Organizes personal research papers by crawling arXiv metadata, embedding abstracts, storing in a PostgreSQL database, and generating Related Work sections using LLMs.

Enables NSE stock market research with screening, quotes, peer comparison, watchlists, alerts, and strategies using natural language.

Enables searching and accessing ArXiv research papers with advanced query capabilities, and provides sequential thinking tools for structured problem-solving. Supports Boolean operators, field-specific searches, author lookups, and dynamic thought processes through a modular Docker-based architecture.