"A comparison or overview of Obsidian and Logseq" matching MCP connectors:
Matching Connector Tools:
Helena Bioinformatics MCP for clinical variant interpretation, ACMG/AMP evidence and literature.
Link compounds to protein targets, rank bioactivity, and look up drug mechanisms and indications.
Search GBIF species taxonomy, occurrence records, datasets, and publishers.
Look up genes, sequences, variants, homologs, and cross-database xrefs from Ensembl REST.
Look up allele frequencies by ancestry, gene constraint, variants, and coverage over gnomAD.
Query STRING interactions, enrichment, annotations, homology, and PPI networks.
Search and resolve Naturepedia, Robbie's Razor, and GC-MRD-v2.0 canonical resources.
Official answers about Helena Bioinformatics and its products, with citations to public sources.
Bioregistry — meta-registry of biomedical identifier prefixes
GWAS Catalog (EBI/NHGRI) MCP — curated catalog of genome-wide association studies.
Biotech intelligence for AI agents: drugs, targets, diagnostics, PoS estimates, and writeups.
Rhea MCP — expert-curated database of biochemical reactions.
Biomedical data: compounds, drug info, and molecular targets
A unified biomedical graph database that integrates 50+ primary data sources — genes, proteins, compounds, diseases, pathways, and clinical data — into a single queryable graph with billions of cross-reference edges. Its native MCP server gives LLMs direct access to structured, authoritative biomedical data, complementing their reasoning with reliable identifiers and up-to-date database content.
Chemical molecular intelligence platform covering compound search, structure analysis, physicochemical property retrieval, and molecular interaction profiling.
PatSnap Biology Modality MCP server — access biological sequences, modification records, and antibody-antigen interactions across 200M+ patents.
Serves the user's personal DNA wellness report to their AI: caffeine response, sleep timing, training, nutrient absorption. Built from a hand-checked evidence base (GWAS Catalog, PharmGKB); every finding states its effect size and links to its source paper. No disease risk scores. The raw DNA file is parsed in the user's browser and never uploaded.
AI orchestration for computational chemistry and HPC workflows.