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EBI Proteins API MCP Server

Bring Proteins
to Pydantic AI

Learn how to connect EBI Proteins API to Pydantic AI and start using 16 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Get AntigenGet CoordinatesGet GenecentricGet MutagenesisGet ProteinGet Protein FeaturesGet ProteomeGet ProteomicsGet Proteomics PtmGet TaxonomyGet VariationSearch Features By TypeSearch ProteinsSearch ProteomesSearch TaxonomySearch Variation

Compatible with every major AI agent and IDE

ClaudeClaude
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GeminiGemini
WindsurfWindsurf
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JetBrainsJetBrains
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EBI Proteins API

What is the EBI Proteins API MCP Server?

Connect to the EMBL-EBI Proteins API and access comprehensive protein biology data from one of the world's leading bioinformatics institutes.

What you can do

  • Protein Retrieval — Fetch complete protein entries by UniProt accession with names, organisms, gene information, sequences, and cross-references
  • Sequence Features — Retrieve annotated domains, binding sites, active sites, signal peptides, transmembrane regions, and disulfide bonds for any protein
  • Genetic Variants — Access curated variants from UniProtKB aggregated with large-scale studies including ClinVar, gnomAD, 1000 Genomes, COSMIC, and TOPMed
  • Proteomics & PTMs — Query mass-spectrometry peptide evidence and post-translational modifications from PeptideAtlas, MaxQB, EPD, and ProteomicsDB
  • Mutagenesis — Explore curated mutagenesis experiments with detailed phenotypic effect descriptions
  • Proteomes & Taxonomy — Search reference proteomes and navigate the taxonomy tree by ID or organism name
  • Genome Coordinates — Map proteins to genome positions on GRCh38/GRCh37 with Ensembl gene, transcript, and translation IDs

How it works

  1. Subscribe to this server
  2. No API key required — the EBI Proteins API is fully public
  3. Start querying protein data from Claude, Cursor, or any MCP-compatible client

Your AI agent becomes a molecular biology research assistant with direct access to the entire UniProt protein knowledge base. All data is sourced from the official EMBL-EBI Proteins REST API.

Who is this for?

  • Molecular Biologists — retrieve protein sequences, domain architectures, and functional annotations without navigating complex web databases
  • Clinical Geneticists — access aggregated variant data from ClinVar, gnomAD, and COSMIC for variant interpretation and pathogenicity assessment
  • Structural Biologists — query sequence features, binding sites, and mutagenesis data to guide experimental design
  • Bioinformaticians — programmatically access proteomes, taxonomy, and genome coordinate mappings for pipeline integration

Built-in capabilities (16)

get_antigen

These are peptide regions used for antibody generation, indicating experimentally validated protein expression targets. Useful for immunology and antibody-based research. Get antigen sequences from Human Protein Atlas

get_coordinates

Returns Ensembl gene, transcript, and translation IDs along with chromosome, start/end positions, and strand information. Essential for bridging protein annotations with genomic data. Get genome coordinate mappings for a protein

get_genecentric

Shows canonical protein and related protein count for each gene. Use with a UniProt Proteome ID (e.g. UP000005640). Get the gene-centric view of a proteome

get_mutagenesis

Each entry includes the wild-type and mutant residues, position, and a description of the functional impact. Critical for understanding structure-function relationships. Get mutagenesis experiments and phenotypic effects

get_protein

Use a UniProt accession such as P12345, Q9Y6K9, or P53_HUMAN. Retrieve a full protein entry by UniProt accession

get_protein_features

Features include domains, binding sites, active sites, signal peptides, transmembrane regions, disulfide bonds, glycosylation sites, and more. Each feature has start/end positions and evidence counts. Get sequence feature annotations for a protein

get_proteome

Returns taxonomy, protein count, gene count, reference status, and component information. Use IDs like UP000005640 for human proteome or UP000000589 for mouse. Get a specific proteome by UniProt Proteome ID

get_proteomics

Shows which peptides have been experimentally detected and whether they are unique to this protein. Essential for validating protein expression. Get mass-spectrometry proteomics data for a protein

get_proteomics_ptm

Provides residue-level PTM positions with evidence counts. Get post-translational modifications from mass-spec data

get_taxonomy

Returns scientific name, common name, rank, lineage, parent, and children nodes. Use IDs like 9606 for human, 10090 for mouse, 562 for E. coli. Get taxonomy node details by NCBI taxon ID

get_variation

Each variant includes wild-type and mutant residues, clinical significance, consequence type (e.g. missense, nonsense), and cross-references. Critical for clinical genomics and variant interpretation. Get genetic variants for a protein from multiple sources

search_features_by_type

Valid types include: DOMAIN, BINDING, ACTIVE_SITE, SIGNAL, TRANSMEM, DISULFID, CARBOHYD, MOD_RES, VARIANT, MUTAGEN, REGION, MOTIF, SITE, REPEAT, COILED, COMPBIAS, HELIX, STRAND, TURN. Search features by type across proteins

search_proteins

You can combine gene name (e.g. TP53), organism (e.g. human, 9606), keyword (e.g. kinase), or accession. Returns a summarized list of matching proteins with names, organisms, and sequence lengths. Search proteins by gene name, organism, or keyword

search_proteomes

Returns proteome IDs, taxonomy, protein counts, gene counts, and reference proteome status. Use queries like "homo sapiens", "escherichia coli", "arabidopsis". Search proteomes by organism name

search_taxonomy

Returns matching taxonomy entries with scientific names, common names, taxon IDs, and ranks. Useful for finding the correct taxon ID before querying proteins or proteomes for a specific organism. Search taxonomy by organism name

search_variation

g. large_scale_study, uniprot, mixed), consequence type (e.g. missense, stop gained), and wild-type residue. Use this to find clinically relevant variants across the proteome. Search variants by consequence type, source, or residue

Why Pydantic AI?

Pydantic AI validates every EBI Proteins API tool response against typed schemas, catching data inconsistencies at build time. Connect 16 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

  • Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

  • Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your EBI Proteins API integration code

  • Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

  • Dependency injection system cleanly separates your EBI Proteins API connection logic from agent behavior for testable, maintainable code

P
See it in action

EBI Proteins API in Pydantic AI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

EBI Proteins API and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect EBI Proteins API to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for EBI Proteins API in Pydantic AI

The EBI Proteins API MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 16 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

EBI Proteins API
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

The Vinkius Advantage

How Vinkius secures EBI Proteins API for Pydantic AI

Every tool call from Pydantic AI to the EBI Proteins API MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Do I need an API key to use this server?

No. The EMBL-EBI Proteins API is completely public and requires no authentication. Simply subscribe to this server and enter any placeholder value in the API key field to start querying protein data immediately.

02

What kind of variant data is available?

The server aggregates genetic variants from multiple authoritative sources: UniProtKB curated variants, ClinVar clinical significance data, gnomAD population frequencies, 1000 Genomes Project, COSMIC somatic mutations, TOPMed whole-genome sequencing, ExAC exome data, and TCGA cancer variants. Each variant includes consequence type, clinical significance, and source cross-references.

03

Can I map protein positions to genome coordinates?

Yes. The get_coordinates tool maps any UniProt protein to reference genome coordinates on GRCh38 and GRCh37 assemblies. It returns Ensembl gene, transcript, and translation identifiers along with chromosome, start/end positions, and strand orientation. This bridges the gap between protein-level annotations and genomic-level analyses.

04

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

05

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

06

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your EBI Proteins API MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

07

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

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