scholarfetch_saved_add
ActiveTool of ScholarFetch
Add one paper to a named in-memory reading list on the MCP server. Best input is paper_json copied from another ScholarFetch tool result, but DOI, query+result_index, or author_name+candidate_index+paper_index also work. Reuse the same collection name across calls to keep one research session together.
Parameters schema
{
"type": "object",
"title": "scholarfetch_saved_addArguments",
"properties": {
"doi": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Doi",
"default": null
},
"query": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Query",
"default": null
},
"engines": {
"type": "string",
"title": "Engines",
"default": ""
},
"collection": {
"type": "string",
"title": "Collection",
"default": "default"
},
"paper_json": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Paper Json",
"default": null
},
"author_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Author Name",
"default": null
},
"paper_index": {
"type": "integer",
"title": "Paper Index",
"default": 1
},
"result_index": {
"type": "integer",
"title": "Result Index",
"default": 1
},
"candidate_index": {
"type": "integer",
"title": "Candidate Index",
"default": 1
}
}
}Parent server
ScholarFetch
https://github.com/laibniz/scholarfetch
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