"Docker" matching MCP servers:

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

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

Provides offline research and advanced search capabilities for Ellen Gould Harmon's writings via MCP and HTTP APIs, including PDF generation and Docker deployment.

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.

A Go MCP server for searching AI projects, papers, trending rankings, and UI templates, including project growth data and UI source and license metadata. Supports Streamable HTTP and Docker self-hosting; self-hosted deployments require PostgreSQL and their own catalog data.

A Docker-ready MCP remote server that connects MCP clients like OpenCode to the Mobbin REST API using API keys, enabling access to Mobbin app design patterns and data without OAuth.

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.

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.

MCP server for RSS news aggregation, providing tools to list sources, fetch latest news, search articles, and get stats. It stores feeds in SQLite and supports local/Docker deployment with bearer token or OAuth authentication.

Enables protein sequence analysis and structure prediction by extracting ESM-2 embeddings and batch processing FASTA files via Docker. It provides tools for large-scale embedding extraction, job monitoring, and model management within an MCP-compatible environment.

Self-hosted MCP toolkit providing web search, Wikipedia, and arXiv access without mandatory API keys, delivered as a Docker Compose bundle.

Connect AI assistants to your Gramps Web family tree. Search and edit genealogy records, explore ancestors, descendants, relationships and timelines, and read document scans with vision-capable models. Includes guided research workflows, source citations, read-only mode, and privacy-aware media previews. Install with Docker or a Claude Desktop bundle.

Enables an AI assistant to search scientific literature across OpenAlex and Semantic Scholar, download supported Elsevier and Springer Nature full texts, and build a local searchable index so questions can be answered with citations to original paper passages. It runs locally over stdio with CPU-based embeddings and needs no Qdrant account, Docker, GPU, or LLM API key of its own.

Enables agents to inspect BOINC Central batch status, review job details, and download or extract batch output without a browser, including for BUDA Docker batches and other remote-submission apps. It also supports aborting or retiring batches with explicit confirmation.

Open-source MCP server for Bisibility, providing tools for keyword rank tracking, SERP history, keyword research, backlinks, alerts, reports, and project management. Runs locally through npm or Docker and connects to Bisibility Cloud or a self-hosted instance.

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.

Provides universal access to over 800,000 economic time series through three tools that browse the full catalog by category, release, or source, search by keywords, tags, and filters, and retrieve observations with date ranges, frequency aggregation, and transformations such as percent change or natural log. It also supports stdio, Docker, and Streamable HTTP transports with caching, rate limiting, and retry handling for deployment in AI assistant clients.

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 authenticated MCP clients to research public YouTube channels and videos, read owner-authorized analytics reports, and draft, version and locally export original production blueprints. It runs locally with Docker Compose and PostgreSQL, providing eighteen tools with provenance, quota accounting, and governed analytics that return blocked responses when data or permission is missing.