{"apiVersion":"v1","directorySlug":"gxl-mcp-5d0fac0a51","title":"GXL","description":"GXL — AI for life sciences","pageUrl":"https://www.mcpbundles.com/skills/gxl-mcp-5d0fac0a51","connectPath":"importable","connectAction":"import_server","catalogListing":false,"bundleSlug":null,"listingKind":"remote_mcp","kind":"provider","transportUrl":"https://api.gxl.ai/mcp","hostedMcpUrl":null,"toolCount":14,"toolInventoryStatus":"observed","refreshedAt":"2026-11-03T13:26:00.516172+00:00","registryName":"ai.gxl/gxl-mcp-5d0fac0a51","registryVersion":"2026.11.3","registryEligible":true,"tools":[{"name":"papers_stat","description":"Get metadata/stats about a file or folder.","inputSchema":{"type":"object","required":["path"],"properties":{"path":{"type":"string"}}},"logicalName":"papers_stat","displayName":"papers_stat","title":"papers_stat","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"papers_map","description":"Execute parallel paper exploration tasks.","inputSchema":{"type":"object","properties":{"limit":{"type":"number"},"query":{"type":"string"},"tasks":{"type":"array","items":{"type":"object","properties":{"path":{"type":"string"},"query":{"type":"string"}}}},"from_results":{"type":"string"},"output_schema":{"type":"object"},"max_concurrent":{"type":"number"}}},"logicalName":"papers_map","displayName":"papers_map","title":"papers_map","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"papers_reduce","description":"Synthesize map results into a cohesive narrative (reduce phase).","inputSchema":{"type":"object","required":["from_map"],"properties":{"from_map":{"type":"string"},"question":{"type":"string"},"max_items":{"type":"number"},"from_results":{"type":"string"}}},"logicalName":"papers_reduce","displayName":"papers_reduce","title":"papers_reduce","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"papers_ask_image","description":"Analyze a figure/image from a paper using a vision model.","inputSchema":{"type":"object","required":["document_id","figure_id","question"],"properties":{"question":{"type":"string"},"figure_id":{"type":"string"},"document_id":{"type":"string"}}},"logicalName":"papers_ask_image","displayName":"papers_ask_image","title":"papers_ask_image","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"papers_get_citation","description":"Get citation info for a specific line number in a paper or supplement.","inputSchema":{"type":"object","required":["document_id","line_number"],"properties":{"document_id":{"type":"string"},"line_number":{"type":"integer"},"supplement_filename":{"type":"string"}}},"logicalName":"papers_get_citation","displayName":"papers_get_citation","title":"papers_get_citation","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"search_and_filter","description":"Search for papers and filter by relevance in one step.","inputSchema":{"type":"object","required":["queries","task"],"properties":{"n":{"type":"integer"},"task":{"type":"string"},"queries":{"type":"array","items":{"type":"string"}}}},"logicalName":"search_and_filter","displayName":"search_and_filter","title":"search_and_filter","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"scholar_search","description":"Search Semantic Scholar's academic graph (214M+ papers, 2.5B+ citations).","inputSchema":{"type":"object","required":["query"],"properties":{"year":{"type":"string"},"query":{"type":"string"},"venue":{"type":"string"},"max_results":{"type":"integer"},"fields_of_study":{"type":"string"},"open_access_pdf":{"type":"boolean"},"publication_types":{"type":"string"},"min_citation_count":{"type":"integer"}}},"logicalName":"scholar_search","displayName":"scholar_search","title":"scholar_search","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"scholar_paper","description":"Get detailed information for a single paper from Semantic Scholar.","inputSchema":{"type":"object","required":["paper_id"],"properties":{"paper_id":{"type":"string"}}},"logicalName":"scholar_paper","displayName":"scholar_paper","title":"scholar_paper","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"scholar_citations","description":"Get citation graph for a paper — who cites it or what it references.","inputSchema":{"type":"object","required":["paper_id"],"properties":{"paper_id":{"type":"string"},"direction":{"enum":["citations","references"],"type":"string"},"max_results":{"type":"integer"}}},"logicalName":"scholar_citations","displayName":"scholar_citations","title":"scholar_citations","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"scholar_recommendations","description":"Get paper recommendations from Semantic Scholar based on seed papers.","inputSchema":{"type":"object","required":["positive_paper_ids"],"properties":{"max_results":{"type":"integer"},"negative_paper_ids":{"type":"array","items":{"type":"string"}},"positive_paper_ids":{"type":"array","items":{"type":"string"}}}},"logicalName":"scholar_recommendations","displayName":"scholar_recommendations","title":"scholar_recommendations","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"bash","description":"Unix shell on the BioMedRxiv virtual filesystem. Use standard shell commands.","inputSchema":{"type":"object","required":["command"],"properties":{"command":{"type":"string"}}},"logicalName":"bash","displayName":"bash","title":"bash","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"portal","description":"Enter the papers research environment. A dedicated explorer agent searches, reads, and analyzes papers autonomously, then returns compressed findings with citations.","inputSchema":{"type":"object","required":["mission"],"properties":{"depth":{"enum":["quick","standard","deep"],"type":"string"},"mission":{"type":"string"},"context_summary":{"type":"string"}}},"logicalName":"portal","displayName":"portal","title":"portal","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"download_file","description":"Download a file from the BioMedRxiv virtual filesystem to a local path.","inputSchema":{"type":"object","required":["virtual_path","local_path"],"properties":{"local_path":{"type":"string"},"virtual_path":{"type":"string"}}},"logicalName":"download_file","displayName":"download_file","title":"download_file","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"load_skill","description":"Load the full instructions for a named skill. Call this BEFORE executing a skill's workflow.","inputSchema":{"type":"object","required":["skill_name"],"properties":{"skill_name":{"type":"string"}}},"logicalName":"load_skill","displayName":"load_skill","title":"load_skill","annotations":{"untrustedContentHint":true,"readOnlyHint":true}}],"toolSource":"directory_preview","agentAction":"both","installLinks":[{"id":"cursor","label":"Cursor","href":"cursor://anysphere.cursor-deeplink/mcp/install?name=GXL&config=eyJ1cmwiOiAiaHR0cHM6Ly9hcGkuZ3hsLmFpL21jcCJ9"},{"id":"vscode","label":"VS Code","href":"vscode:mcp/install?%7B%22name%22%3A%22GXL%22%2C%22type%22%3A%22http%22%2C%22url%22%3A%22https%3A%2F%2Fapi.gxl.ai%2Fmcp%22%7D"},{"id":"vscode-insiders","label":"VS Code Insiders","href":"vscode-insiders:mcp/install?%7B%22name%22%3A%22GXL%22%2C%22type%22%3A%22http%22%2C%22url%22%3A%22https%3A%2F%2Fapi.gxl.ai%2Fmcp%22%7D"},{"id":"claude-web","label":"Claude.ai","href":"https://claude.ai/customize/connectors?modal=add-custom-connector&connectorName=GXL&connectorUrl=https%3A%2F%2Fapi.gxl.ai%2Fmcp"},{"id":"codex","label":"Codex","copyText":"codex mcp add \"GXL\" --url \"https://api.gxl.ai/mcp\""},{"id":"chatgpt","label":"ChatGPT","href":"https://www.mcpbundles.com/docs/integrations/chatgpt"}],"catalogUrl":"https://www.mcpbundles.com/api/directory/v1/servers/gxl-mcp-5d0fac0a51","callUrl":"https://www.mcpbundles.com/api/directory/v1/servers/gxl-mcp-5d0fac0a51/tools/{tool}","mcpServerUrl":"https://api.gxl.ai/mcp","liveCatalogUrl":"https://www.mcpbundles.com/api/directory/v1/servers/gxl-mcp-5d0fac0a51?live=1"}