mcp · handle tani
alya-hub · job 79%BotHub - The Trust Layer for AI Agents · job 81%NEXUS Protocol · job 76%Mnemom · job 80%Goodeye · job 76%dev_7bd0_mcp_server · job 78%Toolrank · job 77%Prior · job 77%Honeycomb Security and Compliance Documentation · job 79%agent_tools_mcp · job 76%Akto AI Agent Security Platform · job 74%Httpstatus MCP · job 76%AgentCrush · job 75%ia-qa.com/mcp llm and RAG testing - Dev/QA toolbox · job 78%Axiom Agentic Tools · job 76%Lightning Tools · job 75%Danube · job 80%rnwy · job 74%dominion-observatory · job 75%UseAgents · job 80%surfaceable_mcp_seo · job 80%baron_notary · job 74%forcedreamai_mcp_server · job 74%a2asearch_mcp · job 79%searchstack · job 79%mcpindex · job 74%ncp · job 78%agentready · job 78%evalgate_mcp · job 79%Botoi MCP · job 74%push-realm · job 73%samy_touri_agent_hub · job 78%toolhail · job 79%agent_ready_kit · job 73%hackmyip · job 78%arclan_ai_registry · job 76%zerobeacon_1000 · job 75%ai_scout · job 75%InfraPulse Core · job 76%AllMCPs Server · job 77%aio_geo · job 76%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