AlphaFold
The AlphaFold MCP Server provides comprehensive access to DeepMind's AlphaFold Protein Structure Database through 22 specialized tools covering structure retrieval, confidence analysis, batch processing, and comparative analysis. Built by Augmented Nature, it integrates directly with the AlphaFold API to enable protein structure searches by UniProt ID or organism, download structures in multiple formats (PDB, CIF, mmCIF), analyze per-residue confidence scores, and export data for visualization tools like PyMOL and ChimeraX. The server is particularly valuable for structural biology research, protein analysis workflows, and bioinformatics applications where users need programmatic access to high-quality protein structure predictions without manually navigating the AlphaFold database interface.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve AlphaFold from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.