"A PubMed resource or system related to MCP (potentially an abbreviation or keyword)" matching MCP servers:

Serves read-mostly MCP tools across ten mock verticals and investment use cases, each backed by bundled SQLite databases, with optional proxying of investment tools to a user-supplied banking API. It enables clients to query realistic vertical data through OAuth-protected MCP endpoints over HTTP or WebSocket.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

A Node.js implementation that provides tools for advanced PubMed searching, including full abstract retrieval and PMC full-text search within open access articles. It features SQLite-backed search history and allows users to filter results by MeSH terms and specific publication dates.

Analyzes PubMed medical literature to help researchers quickly gain insights into medical research dynamics, with features including literature retrieval, hotspot analysis, trend tracking, and comprehensive reports.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Enables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.

Enables discovery of Fabric/Power BI workspaces and semantic models, execution of DAX queries, and generation of executive HTML reports with visualizations.

Transforms SAP S/4HANA or ECC systems into conversational AI interfaces by exposing all OData services as dynamic MCP tools. Enables natural language interactions with ERP data including querying, creating, updating, and deleting entities through SAP BTP integration.

Enables users to manage company departments, employees, expenses, and performance ratings through a natural language interface in Claude Desktop. It features 12 specialized tools for comprehensive CRUD operations and AI-powered organizational analysis using Google Gemini.

MCP server for snowflake that doesn't allow write operations under any circumstances, and includes a system prompt.

Transforms SAP S/4HANA or ECC systems into conversational AI interfaces by exposing all OData services as dynamic MCP tools. Enables natural language interactions with ERP data for querying, creating, updating, and deleting business entities through SAP BTP integration.

MCP server that translates natural-language questions into SQL, validates every query structurally, and executes approved read-only queries against a SQLite database, returning results and rejections.

Enables natural-language querying of a mock legacy healthcare database and returns validated FHIR resources (Patient, Observation, Condition).

A secure database query service built on FastMCP framework that allows users to query MySQL databases using natural language, with comprehensive permission management and security controls.

Provides tools for listing and querying Azure resources directly from any MCP client, allowing you to efficiently browse your Azure infrastructure and analyze costs without leaving your workflow.

MCP server enabling natural-language querying of SQLite databases via schema discovery, GraphRAG retrieval, and safely guarded read-only SQL execution.

Transforms SAP S/4HANA or ECC systems into conversational AI interfaces by exposing OData services as dynamic MCP tools. Enables natural language interactions with ERP data for querying, creating, updating, and deleting business entities.

A full-stack AI application implementing a Model Context Protocol server for retail operations. It enables users to query inventory, analyze pricing elasticity, and get demand forecasts through a conversational interface connected to Firebase Firestore.

A comprehensive system that helps organizations track, manage, and respond to security vulnerabilities effectively through features like vulnerability tracking, user management, support tickets, API key management, and SSL certificate management.

An HTTP MCP server for exploring CSV files that masks PII before any code execution, enabling safe data analysis with local or cloud LLMs.