How do I install AlphaFold-MCP-Server?

Its README did not state an install command plainly enough for us to quote one, so we do not guess. The repository has the instructions: https://github.com/Augmented-Nature/AlphaFold-MCP-Server

Is AlphaFold-MCP-Server official and is it maintained?

We found nothing naming it as a vendor’s official server. Its repository has 36 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2025-12-21.

What licence does AlphaFold-MCP-Server use?

The repository declares the NOASSERTION licence.

InfratoApp / Resources / MCP servers / AlphaFold-MCP-Server

AlphaFold-MCP-Server

AlphaFold-MCP-Server is an MCP server, listed under databases. Its repository has 36 GitHub stars and is licensed under NOASSERTION; we last read it on 2026-10-22.

This server offers access to the AlphaFold Protein Structure Database using the Model Context Protocol (MCP) and includes tools and resources for protein structure prediction analysis.

Install

MCP servers are packaged differently from each other -- some run via npx, some as a Docker image, some as a plain script you clone and run. AlphaFold-MCP-Server’s own README did not state one plainly enough for this page to quote it rather than guess, so it will not guess. The repository below states it.

Read AlphaFold-MCP-Server’s own install instructions ↗

What it reaches, and what it needs

Reaches

○ not recognised

Credential

○ none found

Maintenance

Stars

State

listed

Licence

NOASSERTION

From the repository

A comprehensive Model Context Protocol (MCP) server that provides access to the AlphaFold Protein Structure Database through a rich set of tools and resources for protein structure prediction analysis.

View on GitHub ↗2026-10-22

What AlphaFold-MCP-Server can do

19 tools documented in its README. An AI client calls these by name.

get_structure: Retrieve AlphaFold structure prediction for a specific UniProt ID.
download_structure: No description in the README.
check_availability: Check if AlphaFold structure prediction is available for a UniProt ID.
search_structures: Search for available AlphaFold structures by protein name or gene.
list_by_organism: List all available structures for a specific organism.
get_organism_stats: Get statistics about AlphaFold coverage for an organism.
get_confidence_scores: Get per-residue confidence scores for a structure prediction.
analyze_confidence_regions: Analyze confidence score distribution and identify high/low confidence regions.
get_prediction_metadata: Get metadata about the prediction including version, date, and quality metrics.
batch_structure_info: Get structure information for multiple proteins simultaneously.
batch_download: Download multiple structure files.
batch_confidence_analysis: Analyze confidence scores for multiple proteins.
compare_structures: Compare multiple AlphaFold structures for analysis.
find_similar_structures: Find AlphaFold structures similar to a given protein.
get_coverage_info: Get information about sequence coverage in the AlphaFold prediction.
validate_structure_quality: Validate and assess the overall quality of an AlphaFold prediction.
export_for_pymol: Export structure data formatted for PyMOL visualization.
export_for_chimerax: Export structure data formatted for ChimeraX visualization.
get_api_status: No description in the README.

Read from the README; names are kept only if the README contains them.