kr_cris_trial_get
Pack: kr-cris · 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/kr_cris_trial_get for the schema, then POST the same URL with its arguments for the data.
Fetch one Clinical Research Information Service (CRIS, Korea) trial record by KCT number (from kr_cris_trial_search): Korean and English titles, recruitment status, phase, study type and purpose, condition, intervention, primary outcome, sponsor and funder organisation, target sample size, number of study sites listed, registration, first-enrolment, start, primary-completion and end dates, the number the trial holds in another registry (e.g. an NCT number) and the record link. Investigators’ and contact persons’ names, e-mail addresses and telephone numbers are not returned. An unknown number returns found false. Example: trial_id=“KCT0000002”.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
trial_id | string | yes | CRIS number such as KCT0000002. |
Example call
Arguments
{
"trial_id": "KCT0000002"
}
curl
curl -X POST https://gateway.pipeworx.io/kr-cris/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"kr_cris_trial_get","arguments":{"trial_id":"KCT0000002"}}}'
TypeScript (@pipeworx/sdk)
import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();
const result = await pipeworx.call('kr_cris_trial_get', {
"trial_id": "KCT0000002"
});
Response shape
| Field | Type | Description |
|---|---|---|
trial_id | string | |
title_ko | string | null | |
title_en | string | null | |
status | string | null | |
status_en | string | null | |
status_ko | string | null | |
phase | string | null | |
study_type | string | null | |
intervention_type | string | null | |
condition | string | null | |
sponsor_organisation | object | null | |
funder_organisation | object | null | |
study_start | string | null | |
study_end | string | null | |
registered_on | string | null | |
last_updated | string | null | |
internal_seq | string | null | |
record_url | string | null | |
found | boolean | |
public_title_en | string | null | |
acronym | null | null | |
protocol_id | string | null | |
condition_category | string | null | |
intervention | string | null | |
primary_outcome | string | null | |
study_purpose | string | null | |
target_sample_size | number | null | |
site_arrangement | string | null | |
sites_listed | number | null | |
dates | object | null | |
other_registry | string | null | |
results_posted | boolean | null | |
data_as_of | string | null | |
source | string | |
caveat | string | null |
Full JSON Schema
{
"type": "object",
"properties": {
"trial_id": {
"type": "string"
},
"title_ko": {
"type": [
"string",
"null"
]
},
"title_en": {
"type": [
"string",
"null"
]
},
"status": {
"type": [
"string",
"null"
]
},
"status_en": {
"type": [
"string",
"null"
]
},
"status_ko": {
"type": [
"string",
"null"
]
},
"phase": {
"type": [
"string",
"null"
]
},
"study_type": {
"type": [
"string",
"null"
]
},
"intervention_type": {
"type": [
"string",
"null"
]
},
"condition": {
"type": [
"string",
"null"
]
},
"sponsor_organisation": {
"type": [
"object",
"null"
],
"properties": {
"ko": {
"type": [
"string",
"null"
]
},
"en": {
"type": [
"string",
"null"
]
}
},
"additionalProperties": true
},
"funder_organisation": {
"type": [
"object",
"null"
],
"properties": {
"ko": {
"type": [
"string",
"null"
]
},
"en": {
"type": [
"string",
"null"
]
}
},
"additionalProperties": true
},
"study_start": {
"type": [
"string",
"null"
]
},
"study_end": {
"type": [
"string",
"null"
]
},
"registered_on": {
"type": [
"string",
"null"
]
},
"last_updated": {
"type": [
"string",
"null"
]
},
"internal_seq": {
"type": [
"string",
"null"
]
},
"record_url": {
"type": [
"string",
"null"
]
},
"found": {
"type": "boolean"
},
"public_title_en": {
"type": [
"string",
"null"
]
},
"acronym": {
"type": [
"null",
"null"
]
},
"protocol_id": {
"type": [
"string",
"null"
]
},
"condition_category": {
"type": [
"string",
"null"
]
},
"intervention": {
"type": [
"string",
"null"
]
},
"primary_outcome": {
"type": [
"string",
"null"
]
},
"study_purpose": {
"type": [
"string",
"null"
]
},
"target_sample_size": {
"type": [
"number",
"null"
]
},
"site_arrangement": {
"type": [
"string",
"null"
]
},
"sites_listed": {
"type": [
"number",
"null"
]
},
"dates": {
"type": [
"object",
"null"
],
"properties": {
"registered_on": {
"type": [
"string",
"null"
]
},
"last_updated": {
"type": [
"string",
"null"
]
},
"first_enrolment": {
"type": [
"string",
"null"
]
},
"study_start": {
"type": [
"string",
"null"
]
},
"primary_completion": {
"type": [
"string",
"null"
]
},
"study_end": {
"type": [
"string",
"null"
]
}
},
"additionalProperties": true
},
"other_registry": {
"type": [
"string",
"null"
]
},
"results_posted": {
"type": [
"boolean",
"null"
]
},
"data_as_of": {
"type": [
"string",
"null"
]
},
"source": {
"type": "string"
},
"caveat": {
"type": [
"string",
"null"
]
}
},
"additionalProperties": true
}
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 kr-cris pack
{
"mcpServers": {
"kr-cris": {
"url": "https://gateway.pipeworx.io/kr-cris/mcp"
}
}
}
See Getting Started for client-specific install steps.