mcp · handle agent_tools_mcp
AlgosOne AI Trading · job 74%agdex · job 72%Honeycomb Security and Compliance Documentation · job 76%agentndx · job 88%ai_scout · job 77%legalaimcp · job 75%jarvis_public_data · job 74%Waggle · job 73%Signal Desk by LarryBuildsAI · job 76%channel3 · job 77%eralabs_ai_ora · job 71%agentbodega · job 78%samy_touri_agent_hub · job 78%tani · job 76%a2asearch_mcp · job 82%remote_openclaw · job 78%searchstack · job 76%geppetto_robot_directory · job 74%secant-agent-research-pack · job 72%UseAgents · job 80%ai_search · job 75%BotHub - The Trust Layer for AI Agents · job 75%getagentictools · job 75%zhiyong_kg · job 75%RGX MCP · job 75%botfriendly · job 78%launchelion · job 73%gtmtools · job 82%AllMCPs Server · job 80%context_awesome · job 73%onchain_agents · job 73%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