"MCP servers to enhance agent-based medical project performance" matching MCP servers:

Provides a six-tool research-assistance workflow for CRC-LNM cases using precomputed CT, pathology features, and clinical values. Enables multimodal analysis and research queries on deidentified cases.

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 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.

Provides validated clinical scoring tools for AI agents via MCP, with evidence-based calculators and smart tool discovery.

Unified MCP server providing LLMs with reliable lookup access to ICD-11, LOINC, RxNorm, MeSH, ATC, CID-10, and (optionally) SNOMED CT.

MCP server for connecting Claude Desktop to a local medical knowledge base with real-time file watching, enabling natural language interaction with medical documents.

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.

Seven remote MCP servers exposing 51 published Apify scrapers as agent tools: company diligence, social listening, recruiting, real estate, lead generation, e-commerce and academic research. Billed per result, and a call that returns nothing is never charged.

Enables geospatial analysis by chaining MCP tools that resolve areas, select datasets, pull statistics, and generate insights, with session state passing data between tools.

The Materials Project MCP Server is server that provides programmatic access to the Materials Project database. It enables LLMs, to search, analyze, and retrieve up to date materials science data.

A demo MCP server for research project management that enables document ingestion, information extraction, project tracking, and report generation through MCP tools.

Enables AI coding assistants to query private academic paper collections via standard MCP tools, with hybrid retrieval, reranking, and inline citations.

An educational MCP server that wraps the Materials Project API, exposing tools to search chemical systems, get material summaries, find semiconductors by band gap, and retrieve crystal structure facts.

An MCP server for Perplexity's Agent API, enabling multi-step web research with citations through tools to start, collect, and cancel research runs.

This MCP server provides tools to search arXiv, score papers for relevance and citation impact, and find foundational references, enabling research assistants to compile reading lists.

An MCP server that enables interaction with property-driven machine learning experiment pipelines, including listing experiments, retrieving configs, comparing runs, and executing experiments with approval gates and full tracing.

AI-powered HEOR (Health Economics and Outcomes Research) MCP server with 7 tools for literature search across 41 medical data sources, cost-effectiveness modeling (Markov/PartSA/PSA), and HTA dossier preparation for NICE, EMA, FDA, IQWiG, HAS, and EU JCA submissions.

A tool for querying and analyzing materials data from the Materials Project database using natural language prompts, enabling materials scientists to explore properties, structures, and compositions of materials through conversational interfaces.

Provides a suite of MCP tools for evidence-grounded investment research, including time-bounded search of reports and news, thesis verification against subsequent events, market response calculations, and generation of validated research briefs.

An automated system that processes raw text through a three-stage pipeline to assess data quality, enhance information, and generate structured knowledge graphs. It provides tools for triple extraction with confidence scoring and creates interactive HTML visualizations of the resulting graph.