[{"data":1,"prerenderedAt":202},["ShallowReactive",2],{"seo-allowlist":3,"connector-helena":73,"related-helena":177},[4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72],"activecampaign","ahrefs","airtable","amplitude","asana","avalara","aweber","bamboohr","billcom","bitbucket","brevo-sendinblue","buffer","calendly","clickup","close","confluence","constant-contact","copper","datadog","dialpad","docusign","expensify","figma","freshsales","github","gitlab","gmail","google-adsense","google-calendar","google-drive","google-forms","google-maps","google-sheets","google-slides","greenhouse","hubspot","intercom","jira","jotform","linear","mailchimp","microsoft-teams","miro","mixpanel","mondaycom","notion","outlook","pandadoc","personio","pipedrive","quickbooks-online","recurly","salesforce","sendgrid","sentry","slack","square","stripe","tableau","todoist","trello","typeform","wix","workable","wrike","youtube","zendesk","zoho-crm","zoom",{"id":74,"name":75,"icon":76,"description":77,"provider":78,"authType":79,"availableAuthTypes":80,"apiDocsUrl":81,"authDocsUrl":81,"category":82,"pageCopy":83,"datasets":118},"helena","Noodle Biomedical Literature Discovery","\u002Fconnectoricons\u002Fhelena.png","Noodle, from Helena, searches a public PubMed-derived corpus of biomedical papers and walks their citation and semantic graphs. Through its MCP server, your AI app can find papers, pull full publication records and see what sits around a PMID. ContextGate connects it to Claude, ChatGPT and Cursor without a sign-in and logs each literature search in Activity.","vendor_mcp","none",[79],"https:\u002F\u002Fnoodle.helena.bio","Developer Tools & Data",{"title":84,"description":85,"heading":86,"connect":87,"sections":102,"utmCampaign":117},"Helena MCP: Noodle biomedical search for Claude & ChatGPT","Helena MCP (Noodle) searches PubMed-derived biomedical papers and citation graphs from Claude or ChatGPT. Switch off any tool; every search is recorded.","Noodle Biomedical Literature Discovery MCP for your AI app",{"heading":88,"steps":89},"Add Noodle literature search to Claude, ChatGPT or Cursor",[90,92,94,100],{"text":91},"Click Connect Noodle Biomedical Literature Discovery free. There's no sign-in, so its tools are ready at once.",{"text":93},"Six of the seven tools read public literature data. `support_helena` only returns information about a separate Helena MCP, so switch it off if you want your AI app to stick to research.",{"text":95,"link":96,"after":99},"Add ContextGate to your AI app as a connector or MCP server. The steps for each app are on",{"label":97,"href":98},"the Works with page","\u002Fworks-with\u002F",".",{"text":101},"Give your AI app a PMID and ask what cites it or sits near it, then open Activity to see the `get_publication_neighborhood` call.",[103,111],{"heading":104,"bullets":105,"note":110},"Literature work for Claude, ChatGPT or Cursor",[106,107,108,109],"Search the biomedical corpus by meaning with `search_biomedical_literature`, anchoring on a PMID, DOI or PMCID when you have one.","Pull a complete bibliographic record by PMID with `get_publication_details`.","Explore the citation and semantic neighborhood around a paper to find related work.","Check the corpus's coverage, sources and freshness with `get_corpus_summary` before you treat a missing paper as a gap.","Noodle states that its results are for literature discovery and professional review, not diagnosis or treatment.",{"heading":112,"bullets":113},"Research calls your workspace can see",[114,115,116],"Switch off any Noodle tool you don't use; your AI app won't see it and calls to it are refused.","A policy can hide patient names or other personal details pasted into a search before it reaches Noodle.","Activity lists every search and record lookup, which helps when you write up how you found a source.","helena-mcp",[119,129,137,145,153,161,169],{"name":120,"description":121,"recordCount":122,"type":123,"requiredParams":124,"optionalParams":125,"exampleEndpoint":122,"docsUrl":81,"sampleFields":126,"sampleData":127},"search_biomedical_literature","Semantically search Noodle's public PubMed-derived biomedical corpus. Include known PMID, DOI, or PMCID identifiers in the query so they can act as exact anchor","N\u002FA","tool",[],[],[],[128],{"endpoint":122,"docs":81},{"name":130,"description":131,"recordCount":122,"type":123,"requiredParams":132,"optionalParams":133,"exampleEndpoint":122,"docsUrl":81,"sampleFields":134,"sampleData":135},"get_publication_details","Retrieve one complete public bibliographic record by PMID after search. Results are for literature discovery and professional review, not diagnosis or treatment",[],[],[],[136],{"endpoint":122,"docs":81},{"name":138,"description":139,"recordCount":122,"type":123,"requiredParams":140,"optionalParams":141,"exampleEndpoint":122,"docsUrl":81,"sampleFields":142,"sampleData":143},"get_work_details","Retrieve one complete public bibliographic record by Noodle work identifier. Results are for literature discovery and professional review, not diagnosis or trea",[],[],[],[144],{"endpoint":122,"docs":81},{"name":146,"description":147,"recordCount":122,"type":123,"requiredParams":148,"optionalParams":149,"exampleEndpoint":122,"docsUrl":81,"sampleFields":150,"sampleData":151},"get_publication_neighborhood","Retrieve the bounded citation and semantic neighborhood around one PMID. Results are for literature discovery and professional review, not diagnosis or treatmen",[],[],[],[152],{"endpoint":122,"docs":81},{"name":154,"description":155,"recordCount":122,"type":123,"requiredParams":156,"optionalParams":157,"exampleEndpoint":122,"docsUrl":81,"sampleFields":158,"sampleData":159},"get_work_neighborhood","Retrieve the bounded citation and semantic neighborhood around one Noodle work identifier. Results are for literature discovery and professional review, not dia",[],[],[],[160],{"endpoint":122,"docs":81},{"name":162,"description":163,"recordCount":122,"type":123,"requiredParams":164,"optionalParams":165,"exampleEndpoint":122,"docsUrl":81,"sampleFields":166,"sampleData":167},"get_corpus_summary","Return public corpus coverage, source, freshness, and count metadata. Results are for literature discovery and professional review, not diagnosis or treatment.",[],[],[],[168],{"endpoint":122,"docs":81},{"name":170,"description":171,"recordCount":122,"type":123,"requiredParams":172,"optionalParams":173,"exampleEndpoint":122,"docsUrl":81,"sampleFields":174,"sampleData":175},"support_helena","Learn about the separate Helena Good MCP. This opt-in information action initiates no payment or outreach and changes no scientific result.",[],[],[],[176],{"endpoint":122,"docs":81},[178,181,184,187,190,193,196,199],{"id":179,"name":180},"honeycomb","Honeycomb",{"id":182,"name":183},"hoptodesk","HopToDesk",{"id":185,"name":186},"hostinger","Hostinger",{"id":188,"name":189},"hostkey","Hostkey (hostkey.com)",{"id":191,"name":192},"hostkey-ru","Hostkey (hostkey.ru)",{"id":194,"name":195},"hproxy","HProxy",{"id":197,"name":198},"humanlineage","Humanlineage",{"id":200,"name":201},"icecat","Icecat",1793790225503]