"How to Create Workflows in n8n" matching MCP servers:

MCP server for interacting with Galaxy bioinformatics platform, enabling AI assistants to connect to Galaxy instances, search and execute tools, manage workflows, and access other features.

Enables AI agents to resolve scientific names to Taxonomic Serial Numbers, traverse complete taxonomic lineages from kingdom to children, and retrieve vernacular names in all languages from an authoritative US-government taxonomy.

Enables querying gene expression experiments, brain region structure ontologies, and in-situ hybridization datasets from the Allen Institute's Brain Atlas public API.

Enables AI agents to search public cancer genomics studies (TCGA, CPTAC, MSK, and more), fetch full details for individual studies, resolve gene symbols to Entrez ids, and list cancer types. Works keylessly against open cBioPortal data over a hosted MCP endpoint, a local stdio server, or plain HTTP.

Enables AI clients to connect to Galaxy instances, inspect histories and reports, discover tools and workflows, submit analyses, and monitor their results via interactive cards.

MCP-native scientific skills for reproducible computational biology and AI-driven drug-discovery workflows. It combines deterministic scientific tools with an MCP server to give AI agents real computational capabilities.

Enables AI agents to search and retrieve compounds, drugs, diseases, pathways, genes, enzymes, glycans, modules, and KO entries; fetch full parsed flat-file entries by ID; and list database contents through keyless REST tools.

Provides access to BioThings.io APIs for comprehensive gene and variant annotations, enabling seamless integration of biological data into workflows.

Enables searching a manually curated database of stable macromolecular protein complexes by protein or complex name, gene, GO term, or biological process, and fetching individual records by accession to retrieve subunits with UniProt identifiers, biological roles, and stoichiometry. Complements UniProt, IntAct, and STRING, and can be used keyless over a hosted gateway endpoint or run locally over stdio.

MCP server for querying the GWAS Catalog (EBI/NHGRI), a curated catalog of genome-wide association studies. It enables AI agents to search and retrieve study data via natural language or direct tool calls.

Exposes pipen bioinformatics pipelines as MCP tools, allowing AI assistants to discover and run complex workflows through a progressive disclosure interface.

Enables AI agents to query the PomBase fission yeast model-organism database for genetic and molecular data through the Pipeworx MCP gateway.

Connects to NCBI E-utilities for searching, fetching, and linking biological data across Entrez databases.

Enables AI agents to resolve marine species names to OBIS taxon records, retrieve georeferenced ocean occurrence records with optional date filtering, and pull aggregate statistics such as record counts, contributing datasets, and observed year ranges. Queries the Ocean Biodiversity Information System keylessly over the Pipeworx gateway or as a local stdio server.

Enables AI assistants to create, monitor, and manage computational tasks through GA4GH Task Execution Service (TES) functionality. Provides seamless access to TES-compliant services for executing bioinformatics and scientific computing workflows.

This server provides access to InterPro protein family, domain, and functional-site classification data from EBI. It allows querying protein annotations through natural language or direct tool calls.

Enables search and access to MGnify public microbiome studies, biome vocabulary, and ~57,000 MAGs and isolate genomes with completeness, contamination, and GTDB taxonomy.

Enables users to look up yeast genes/loci, search genes and alleles by free text, and retrieve Gene Ontology annotations from the Saccharomyces Genome Database.

Enables AI agents to query Human Phenotype Ontology clinical phenotype terms, navigate term hierarchies, and retrieve gene-disease and disease-phenotype annotations through keyless MCP tools.

Resolves free-text condition and disease strings — trial-registry condition fields, drug-label indications, hand-typed wording — onto the Mondo Disease Ontology, returning the best term id and label along with a trustworthy match-quality label (exact label/synonym, broader, narrower, fuzzy, or no-match) plus cross-ontology xrefs. Optionally expands a resolved term to all of its descendant ids for building subtype-inclusive registry filters.