prediction
Pack: alphafold · Connect: https://pipeworx.io/mcp (see Connect below for a single-pack URL)
No MCP client? Call it directly: GET https://gateway.pipeworx.io/v1/tools/prediction for the schema, then POST the same URL with its arguments for the data.
Full prediction metadata + structure file URLs (PDB, CIF, PAE).
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
qualifier | string | yes | UniProt accession, e.g. “P00533” |
Example call
Arguments
{
"qualifier": "P00533"
}
curl
curl -X POST https://gateway.pipeworx.io/alphafold/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"prediction","arguments":{"qualifier":"P00533"}}}'
TypeScript (@pipeworx/sdk)
import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();
const result = await pipeworx.call('prediction', {
"qualifier": "P00533"
});
More examples
{
"qualifier": "Q13547"
}
Response shape
| Field | Type | Description |
|---|---|---|
items | array | |
count | number |
Full JSON Schema
{
"type": "object",
"properties": {
"items": {
"type": "array",
"items": {
"type": "object",
"properties": {
"toolUsed": {
"type": "string"
},
"providerId": {
"type": "string"
},
"entityType": {
"type": "string"
},
"isUniProt": {
"type": "boolean"
},
"modelEntityId": {
"type": "string"
},
"modelCreatedDate": {
"type": "string"
},
"sequenceVersionDate": {
"type": "string"
},
"globalMetricValue": {
"type": "number"
},
"fractionPlddtVeryLow": {
"type": "number"
},
"fractionPlddtLow": {
"type": "number"
},
"fractionPlddtConfident": {
"type": "number"
},
"fractionPlddtVeryHigh": {
"type": "number"
},
"latestVersion": {
"type": "number"
},
"allVersions": {
"type": "array",
"items": {
"type": "number"
}
},
"sequence": {
"type": "string"
},
"sequenceStart": {
"type": "number"
},
"sequenceEnd": {
"type": "number"
},
"sequenceChecksum": {
"type": "string"
},
"isUniProtReviewed": {
"type": "boolean"
},
"gene": {
"type": "string"
},
"uniprotAccession": {
"type": "string"
},
"uniprotId": {
"type": "string"
},
"uniprotDescription": {
"type": "string"
},
"taxId": {
"type": "number"
},
"organismScientificName": {
"type": "string"
},
"isUniProtReferenceProteome": {
"type": "boolean"
},
"chainId": {
"type": "string"
},
"bcifUrl": {
"type": "string"
},
"cifUrl": {
"type": "string"
},
"pdbUrl": {
"type": "string"
},
"paeImageUrl": {
"type": "string"
},
"msaUrl": {
"type": "string"
},
"plddtDocUrl": {
"type": "string"
},
"paeDocUrl": {
"type": "string"
},
"amAnnotationsUrl": {
"type": "string"
},
"amAnnotationsHg19Url": {
"type": "string"
},
"amAnnotationsHg38Url": {
"type": "string"
},
"isComplex": {
"type": "boolean"
},
"entryId": {
"type": "string"
},
"uniprotSequence": {
"type": "string"
},
"uniprotStart": {
"type": "number"
},
"uniprotEnd": {
"type": "number"
},
"isReferenceProteome": {
"type": "boolean"
},
"isReviewed": {
"type": "boolean"
}
}
}
},
"count": {
"type": "number"
}
},
"description": "Full prediction metadata and structure file URLs"
}
Connect
Add this to your MCP client config — every tool in the catalog, including this one — or use one-click install buttons:
{
"mcpServers": {
"pipeworx": {
"url": "https://pipeworx.io/mcp"
}
}
}
Connect to just the alphafold pack
{
"mcpServers": {
"alphafold": {
"url": "https://gateway.pipeworx.io/alphafold/mcp"
}
}
}
See Getting Started for client-specific install steps.