
Firecrawl MCP Server
mendableai/firecrawl-mcp-server
A Model Context Protocol (MCP) server that brings Firecrawl to MCP-compatible AI agents — search, scrape, and interact with the live web for clean, agent-ready context.
Research & Data · Developer Tools
augmented-nature/alphafold-mcp-server
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.
{
"mcpServers": {
"alphafold-server": {
"command": "node",
"args": [
"/path/to/alphafold-server/build/index.js"
]
}
}
}This MCP server enables seamless integration with AlphaFold's vast collection of protein structure predictions, offering tools for structure retrieval, confidence analysis, batch processing, and visualization preparation. Perfect for researchers, bioinformaticians, and structural biologists working with predicted protein structures.
Structure Retrieval: Get AlphaFold predictions by UniProt ID
Multi-format Downloads: Support for PDB, CIF, BCIF, and JSON formats
Availability Checking: Verify if predictions exist for specific proteins
Structure Search: Find proteins by name, gene, or organism
Organism Browsing: List all available structures for specific species
Coverage Statistics: Get comprehensive organism-level statistics
Per-residue Confidence: Detailed confidence scores for each amino acid
Region Analysis: Identify high/low confidence structural regions
Quality Validation: Assess overall prediction reliability
get_structure
Retrieve AlphaFold structure prediction for a specific UniProt ID.
download_structure
Download AlphaFold structure file in specified format.
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
Check AlphaFold API status and database statistics.
Details on this page are taken from the project's README. Open README

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