AlphaFold MCP Server
MCP server providing AI agents with access to AlphaFold Protein Structure Database — DeepMind/EBI's groundbreaking database of predicted protein structures for 200M+ proteins. Enables agents to retrieve protein structure predictions by UniProt accession, access confidence scores, download structure files (PDB/mmCIF), and integrate protein structure data into biological research workflows.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Public EBI database. HTTPS. EU hosting. No credentials. No sensitive data. Open research resource.
⚡ Reliability
Best When
A structural biologist or drug discovery researcher wants AI agents to query AlphaFold's precomputed structure database — accessing structural predictions for virtually any known protein quickly.
Avoid When
You need custom structure predictions for novel proteins or sequences not in the database — use ColabFold or AlphaFold server directly for new predictions.
Use Cases
- • Retrieving protein structure predictions for target proteins from drug discovery agents
- • Accessing AlphaFold confidence scores and structural metadata from protein engineering agents
- • Downloading PDB structure files for molecular visualization from research agents
- • Integrating protein structure data into bioinformatics analysis pipelines from computational biology agents
Not For
- • Running AlphaFold predictions (this accesses pre-computed structures — not for new predictions)
- • Non-protein structural biology (nucleic acids, lipids use different databases)
- • Real-time protein structure prediction (pre-computed database only)
Interface
Authentication
No authentication required — AlphaFold Database is free and publicly accessible from EBI.
Pricing
AlphaFold Protein Structure Database is free from EMBL-EBI. MCP server is free open source from Augmented-Nature.
Agent Metadata
Known Gotchas
- ⚠ Requires UniProt accession codes for lookup — agents must know the protein identifier
- ⚠ AlphaFold confidence scores (pLDDT) require biological interpretation — low-confidence regions are disordered
- ⚠ Structure files are large (multi-MB) — handle download timeouts appropriately
- ⚠ From Augmented-Nature (life sciences AI company) — domain-appropriate implementation
Alternatives
Full Evaluation Report
Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for AlphaFold MCP Server.
Scores are editorial opinions as of 2026-03-06.