Bring Protein Sequences
to Pydantic AI
Create your Vinkius account to connect UniProt to Pydantic AI and start using all 3 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the UniProt MCP Server?
Connect your AI agent to UniProt — the Universal Protein Resource — the world's definitive knowledge base for protein sequence and functional information.
What you can do
- Protein Search — Find proteins by name, gene symbol, function, or organism across 250M+ entries from both TrEMBL (auto-annotated) and Swiss-Prot (manually curated)
- Accession Lookup — Get complete protein data by UniProt accession number (e.g., P04637 for human p53) including function, subcellular location, and full amino acid sequence
- Gene Search — Find all proteins encoded by a specific gene name across multiple organisms to compare orthologs and paralogs
How it works
- Subscribe to this server
- Start searching proteins immediately — no API key required
Who is this for?
- Molecular Biologists — quickly look up protein functions, domains, and post-translational modifications for experimental design
- Bioinformaticians — retrieve protein sequences and annotations programmatically for large-scale comparative analyses
- Drug Discovery Teams — identify therapeutic targets by searching protein functions and disease associations
Built-in capabilities (3)
Get full protein details by UniProt accession ID
Returns protein name, gene, organism, function, subcellular location, and sequence. Try: insulin, hemoglobin, p53, BRCA1, spike protein. Search UniProt for proteins by name, function, or keyword
Returns all protein isoforms and their functional annotations. Find proteins encoded by a specific gene
Why Pydantic AI?
Pydantic AI validates every UniProt tool response against typed schemas, catching data inconsistencies at build time. Connect 3 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.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your UniProt integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your UniProt connection logic from agent behavior for testable, maintainable code
UniProt in Pydantic AI
Why run UniProt with Vinkius?
The UniProt connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 3 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect UniProt using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
UniProt and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect UniProt to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
UniProt for Pydantic AI
Every request between Pydantic AI and UniProt is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
What is the difference between Swiss-Prot and TrEMBL entries?
Swiss-Prot contains 570K+ entries that have been manually reviewed and curated by expert biologists — the gold standard for protein annotation. TrEMBL contains 250M+ entries that are computationally annotated from gene sequences. Swiss-Prot entries are marked as 'reviewed' and are highly reliable; TrEMBL entries are automatically generated and may contain errors.
Do I need to register or pay for an API key?
No. UniProt REST API is completely free and open without any authentication. There are no rate limits for reasonable usage patterns. UniProt is funded by the National Institutes of Health (NIH), European Molecular Biology Laboratory (EMBL), and the Swiss Institute of Bioinformatics (SIB).
Can I retrieve full amino acid sequences for proteins?
Yes. Every protein entry includes the full amino acid sequence with length information. The sequence is returned in standard one-letter amino acid code. For very large proteins (10,000+ residues), the sequence may be truncated in the response but the full accession data is always provided for direct download.
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.
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.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your UniProt MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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