"Searching for technologies and tools related to embeddings and vector databases" matching MCP servers:

Provides a collection of MCP servers for computational chemistry tasks including molecular generation and retrosynthesis. Also offers property prediction and molecule pricing capabilities.

Enables MCP-capable AI clients to characterize proteins end to end: PDB/mmCIF validation, sequence extraction and typing, pLDDT confidence summaries, metal-site geometry with bidentate chelate detection, GROMACS trajectory metrics and plots, and live UniProt, AlphaFold DB, and RCSB lookups. Also ships a point-and-click Protein Lab web UI (and a persistent run registry) so students and wet-lab biologists can get the same results without any client setup.

A specialized MCP server for Metal-Organic Framework research that provides tools for database searching, structural optimization, and energy calculations via ASE. It enables scientific workflows by allowing users to interact with MOF data and perform chemical simulations through a standard SSE interface.

Enables searching cryo-EM density maps in EMDB and raw datasets in EMPIAR, with filtering by resolution, keyword, and cross-referencing between the two databases.

Enables life-science research by providing search and retrieval across linked publications, clinical trials, drugs, genes, regulatory approvals, and patents through MCP clients.

Enables deep probabilistic analysis of single-cell omics data using scvi-tools through natural language. Supports SCVI for scRNA-seq analysis, SCANVI for cell type annotation, TOTALVI for multi-modal RNA/protein data, and PEAKVI for scATAC-seq analysis.

This server enables multi-agent conversations for interacting with Cirro's biological data platform through its OpenAPI interface, auto-generated using AG2's MCP builder.

A Model Context Protocol server that interfaces with Biomart databases, allowing models to discover biological datasets, explore attributes/filters, retrieve biological data, and translate between different biological identifiers.

Enables LLM agents to search biomedical literature, retrieve article details, find related papers, manage caching, and download open-access full texts through MCP with structured, agent-friendly responses.

An MCP server that interfaces with Gigwa for genotyping data import, analysis, and audit, enabling users to perform complex workflows through natural language commands.

A bridge connecting AI agents to NCBI's PubMed database through the Model Context Protocol, enabling seamless searching, retrieval, and analysis of biomedical literature and data.

An MCP server that provides tools for searching and fetching protein data from the UniProt database using the unipressed library.

Enables users to search rRNA sequences by organism, accession, or taxonomy, retrieve detailed sequence metadata, evaluate probes and primer pairs, and list available databases and taxonomies through MCP tools.

Provides LLMs with structured access to critical biomedical databases including PubTator3 (PubMed/PMC), ClinicalTrials.gov, and MyVariant.info through the Model Context Protocol.

Enables interaction with MGnify metagenomics resources and tools through the Model Context Protocol. Provides access to MGnify's API for querying and analyzing metagenomic datasets and related biological information.

Enables unified access to 110 life science APIs and databases, including genomics, proteomics, chemistry, literature, and clinical data. Users can query genes, proteins, compounds, pathways, and more through natural language.

A bioinformatics MCP server that connects AI clients to over 30 life science databases and 32 curated tools for research, drug discovery, and clinical analysis.

Enables AI assistants to search and retrieve prokaryotic names, taxon details, full classifications, and rank-based browsing from the List of Prokaryotic names with Standing in Nomenclature in real time, plus read related information pages.

A production-ready Model Context Protocol (MCP) server that provides comprehensive access to the BioOntology API for searching, annotating, and exploring over 1,200 biological ontologies.

Enables protein structure and sequence searches using FoldSeek, with support for multiple databases, automatic model downloads, and structured job management.

BioMCP is an open-source MCP server that connects any AI assistant to 15 open bioinformatics databases with zero configuration. It provides 23 tools for literature, sequences, BLAST, structures, enrichment, annotations, genomes, interactions, variants, domains, compounds, and single-cell data.

A Model Context Protocol server that enhances language models with protein structure analysis capabilities, enabling detailed active site analysis and disease-related protein searches through established protein databases.

Provides AI-powered access to major biological databases for GWAS and bioinformatics research. Enables natural language queries for protein, gene, variant, pathway, and drug discovery analysis.

Enables building and analyzing signalling networks from interaction databases through a Model Context Protocol server.

Enables querying HIV-1 antibody neutralization potency data (IC50/IC80/ID50) and HIV T-cell epitope and antibody-binding-site records from LANL databases.

Enables natural language querying and analysis of KEGG biological databases, including pathways, genes, compounds, reactions, diseases, and drugs.

Enables molecular generation, optimization, and analysis through NVIDIA MolMIM API. Supports generating drug-like molecules with desired properties, extracting molecular embeddings, and exploring chemical space around seed molecules.

Enables querying and browsing ontologies from the EBI Ontology Lookup Service, including searching for terms, retrieving term details, and navigating ontology hierarchies via natural language.

Enables searching cancer genes and curated variants from CIViC, retrieving associated diseases, therapies, and graded evidence items and assertions for clinical interpretation.

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