"A platform for live probability option trading with indicators across multiple markets" matching MCP servers:

MCP server that connects AI assistants to a live Ketcher window, the open-source web-based chemical structure editor. Draw, edit, and organize structures directly in the canvas you have open.

Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.

Two MCP servers for a live demo: a clinical server for patient lookup, labs, and drug safety checks, and a data explorer server for querying a sales database.

Enables genomic sequence analysis through the Evo 2 model, supporting DNA sequence scoring, embedding, generation, and variant effect prediction with multiple model checkpoints (7B, 40B, 1B parameters).

Enables variant annotation and effect prediction using the Ensembl VEP API, with support for batch and single queries.

Enables AI agents to query free biomedical and pharmaceutical APIs for clinical trials, drug data, molecular structures, adverse events, and research literature.

Integrates healthcare data from multiple sources (HL7 v2, FHIR, DICOM, device telemetry) and provides clinicians with secure, role-based access to patient context, care unit summaries, device events, diagnostic exams, and other clinical data through specialized MCP tools.

Provides oncology data (research, news, FDA approvals, clinical trials) and IBM MAMMAL biomedical predictions (PPI, DTI, ClinTox) as MCP tools. Allows AI agents to query cancer datasets and run predictions through a remote MCP server.

Exposes four CMS public datasets as callable tools in Claude conversations, enabling natural-language real-world evidence analytics without SQL expertise.

A learning MCP server providing synthetic FHIR patient data with read tools and a gated write workflow (propose → human approve → commit) with structured audit logging.

An open source biomedical research agent that provides LLMs with 28 tools for drug discovery, protein analysis, literature search, medical imaging, omics, and sandbox execution, all running locally via Ollama and MedGemma.

An advanced integrated MCP server platform that combines 600+ tools and multiple biomedical databases to enable comprehensive information retrieval across molecules, proteins, genes, and diseases for accelerating therapeutic research.

This server enables interacting with the National Digital Health Mission's Health Information User (HIU) API, allowing agents to access and manage health information through the Multi-Agent Conversation Protocol.

Taiwan's first public Model Context Protocol server for National Health Insurance data — rejection codes, ICD-10 mappings, audit indicators, semantic wiki search. Powered by OPDSTAR.

An MCP server for longevity and metabolic medicine that provides a medication catalog, dosing protocols, contraindication screening, drug interaction checks, lab recommendations, and patient intake pathways across 35 compounds.

Provides AI agents with instant access to 10M+ OMOP medical vocabulary concepts for searching, mapping, and navigating clinical codes across SNOMED, ICD-10, RxNorm, LOINC, and more.

Provides live US healthcare cost data including procedure cost estimates, provider pricing, insurance coverage rules, and medical bill analysis using real hospital transparency and CMS data.

Generates family pedigree tree diagrams as PNG or SVG images using standard genetic notation compliant with Bennett 2008/2022 NSGC guidelines. Supports comprehensive genealogical features including conditions, genetic testing results, twin relationships, carrier status, and adoption indicators.

Provides seamless integration with FHIR APIs, enabling AI/LLM tools to search, retrieve, and analyze clinical healthcare data with support for SMART-on-FHIR authentication and multiple transport protocols.

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.