mcp · handle minga_graph
MCP OpenAI · job 78%piighost Docs · job 79%codegraff · job 79%Neuromedia-Repowise · job 79%trace-mcp · job 79%Verinoda Symbiosis · job 84%Enhanciar MCP Server · job 79%codebaseGraph · job 80%m1nd · job 78%RootRelay · job 76%Agentic-RAG-MCP · job 77%synapse · job 80%memlab · job 79%ctxo · job 77%code_graph_rag · job 77%toke_local · job 81%Genpark Minimum Spanning Tree Skill · job 76%Joern MCP Server · job 79%CC Code MCP · job 85%Agent Review MCP · job 78%arbor · job 80%sense · job 84%HexWitness · job 78%minh_gkg · job 80%Malong LiuHe · job 79%AI Worlds Knowledge MCP · job 78%Glia · job 81%CodeAtlas MCP Server · job 81%Maxify MCP · job 84%Coverity Semantic Graph MCP Server · job 78%Kimono MCP Server · job 78%Pensieve · job 82%agent-hub · job 80%mcp_perplexity_server · job 79%Model Context Protocol · job 77%aptu-coder · job 78%Code Knowledge Graph · job 79%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