"A system for retrieving medical knowledge, especially in medical imaging, and generating reports" matching MCP servers:

This MCP server provides authoritative medical data from FDA, WHO, PubMed, RxNorm, and Google Scholar, enabling drug information lookup, health statistics retrieval, medical literature searching, and clinical guidelines access directly in AI workflows.

Search medical codes including ICD-10, LOINC, and clinical terms for conditions, procedures, and drugs via natural language queries.

An MCP server that provides comprehensive medical information by querying authoritative APIs including FDA, WHO, PubMed, RxNorm, and Australia's PBS, enabling drug searches, health statistics, medical literature, drug nomenclature, and PBS subsidy queries.

Provides medical evidence tools including PubMed search, citation verification, clinical trial lookup, drug information, drug interaction checking, PICO extraction, and medical entity recognition via MCP.

Provides comprehensive medical information by querying authoritative sources including FDA drug database, WHO health statistics, PubMed literature, RxNorm nomenclature, Google Scholar, and Australia's PBS API through 22+ specialized tools.

An MCP server and web application that enables natural language medical queries and patient data analysis powered by Gemini AI. It allows users to track and analyze patient biometrics, including vitals, sleep patterns, and laboratory results, through a comprehensive set of automated medical tools.

Enables comprehensive medical research by querying and analyzing data across ClinicalTrials.gov, PubMed, and FDA databases with AI-enhanced cross-database insights, risk assessments, and competitive intelligence.

Decodes, searches, validates, and crosswalks US medical codes (ICD-10-CM, ICD-10-PCS, HCPCS Level II) using an offline bundled index via MCP.

Enables hospital search and detail lookup to discover medical institutions and verify campuses, departments, contacts, introductions, and operating entities.

Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.

Enables searching, retrieving, and exploring World Bank documents and reports through natural language queries with advanced filtering options.

An MCP server that provides tools and resources to access company financial filings, industry classifications, and related data via the Financial Reports API.

Enables grounded, dated research from a curated AI-knowledge repository, offering free BM25 retrieval and a research loop that combines the knowledge base, curated sources, and the open web with tiered citations.

MCP server for amazon.in — cheapest in-stock, best-value picks, and price history links.

An MCP server that guides AI assistants to navigate documentation using their built-in tools (grep, file reading) instead of traditional RAG.

A self-hosted, MIT-licensed MCP server that securely connects private documents and markdown files to LLMs. It provides a lightweight, local-first RAG infrastructure compatible with any MCP-enabled AI client or framework.

Vendor-neutral MCP server for knowledge retrieval across repositories, offering stable tools for searching, getting, and listing documents with hybrid lexical and optional semantic search.

A knowledge base MCP server that aggregates team knowledge from multiple sources into Postgres. It provides hybrid search (full-text + vector + RRF) via MCP tools, and enables direct recording of decisions, learnings, and pitfalls.

An MCP server that acts as a knowledge engine for software projects, delivering relevant context at the start of a task and accumulating knowledge at its end through tools like start_task, context, finish_task, remember, and search, with a file-based source of truth and optional semantic retrieval via Graphiti/Neo4j.

Local-first knowledge system for reasoning agents, exposing facts, evidence, documents, retrieval, and audit history through a thin stdio MCP server.