"Multi MCP (Model Context Protocol) implementation or management" matching MCP servers:

Connects to wetlab protocol resources such as protocols.io, enabling users to access and manage experimental protocols via natural language.

Enables AI clients to securely access, query, and mutate normalized user-controlled health data (e.g., from Apple Health or Supabase) through a bounded set of MCP tools, with optional OAuth and sandboxed deployment.

A multi-purpose MCP server for AI-powered healthcare assistance that processes clinical data through configurable LLM providers. Maintains webhook endpoints for patient data processing with PostgreSQL logging and OpenAPI documentation.

Connects AI assistants to health data via the Biological Sovereignty Protocol, with cryptographically verified user consent enforced on-chain.

A Model Context Protocol (MCP) server that connects Claude to your personal Dexcom CGM (Continuous Glucose Monitor) for assistive diabetes management intelligence.

Enables querying Brazilian PCDT clinical protocols from Conitec and generating concise, context-specific treatment summaries using a local LLM, with verified literal citations and links to official PDFs.

Enables language models to search biomedical literature, fetch sequences, and follow links across Entrez databases through eleven read-only tools wrapping the nine NCBI Entrez E-utilities. It handles URL building, pacing, redirects, response caps, and API-key redaction so queries can be answered without a browser or scraping.

An MCP server implementing the ROBINS-I V2 framework for risk-of-bias assessment in non-randomized studies, with deterministic algorithms and full provenance. It enables users to parse study documents, specify target trial results, answer signalling questions with evidence-bound quotes, and compute or override domain judgements.

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).

Privacy layer for healthcare AI agents. Pseudonymises patient identifiers (NHS numbers, names, dates of birth, addresses; UK and US) into labelled tokens locally before text reaches an agent, then restores the originals afterwards, keeping the token map out of agent context.

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.

Phylogenetic inference server driving IQ-TREE 2, always returning per-clade bootstrap support plus model selection, tree comparison, and alignment simulation, with detailed diagnostics like conflicting clades and model uncertainty.

A Model Context Protocol (MCP) server for interacting with Gen3 data commons, with GraphQL query validation to reduce hallucinations.

Enables agents to interact with a clinic booking API, including listing specialties, doctors, and a patient's appointments, and booking or cancelling appointments when the active profile permits, while preserving the caller's authority and screening tool descriptions for safety.

Provides structured PubMed literature data for LLM agents, supporting search, caching, and open-access full-text downloads via the MCP protocol.

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.

Enables searching the public Dutch AGB-register for healthcare providers, practices and locations by AGB-code, name, zorgsoort, place or postcode, and retrieving full registrations with their kwalificaties, erkenningen and relations. Runs live against the register with no API key or account, and also looks up zorgsoort and kwalificatie codes offline.

Provides tools for validating, listing, describing, and fetching Allotrope Simple Model (ASM) data formats for laboratory instruments.

Identifies plants from photos and determines whether a species is native, introduced, or invasive in a given country, drawing on GBIF, GRIIS, and GISD data, and also provides management recommendations and country alien-species lists.

Enables editing and querying of Gene Ontology Causal Activity Models (GO-CAMs) through the Barista API. Supports model creation, individual and fact management, evidence addition, and causal pathway construction for biological knowledge representation.