mcp · handle grandpasai
scilib · job 73%pubmed_search_mcp_2 · job 74%threadsnoop_reddit · job 75%OSIRIS MCP · job 74%research-agent · job 72%ArXivLens MCP · job 75%PaperPilot · job 77%SciWeave MCP Server · job 73%arxiv_reader_mcp · job 72%burn_mcp_server · job 76%Wisdom MCP · job 71%CORE Research MCP · job 71%openalex_research_mcp · job 73%Knowledge Engine · job 77%PubMed MCP · job 73%agingresearch_news · job 74%arxiv_mcp_server · job 74%paperclip_2 · job 74%Erik Bethke MCP · job 75%reddit-dialog-tools · job 71%web_researcher_mcp · job 78%context_awesome · job 79%aidemos_mcp · job 74%Local Research Library MCP · job 75%Keyless Research MCP · job 77%BeliefState · job 72%IA.med MCP · job 73%X-deepresearch · job 76%Asterism · job 74%aigc_radar · job 74%Reddit Research MCP · job 74%Percentages are graph-similarity metadata, not suitability scores. A graph edge answers “is it connected” — plan fit and comparable cost are checked below.
Pick the exact reference and alternative series. Each history is separate; gaps stay gaps.
This view calls the same get_evidence tool your agent would — chart, table and MCP response describe the same records. Watch the reference series