mcp · handle competlab_mcp_server · source page
Agentic.ai · job 75%Earlywire — Marketing & Growth Intelligence · job 78%agentdeals · job 72%ai_search_intelligence · job 73%data-connector · job 72%industrylens · job 77%peec-ai-mcp · job 78%AgentCrush · job 75%BuyAPI · job 78%MentionsAPI · job 74%cclarity_linkedin_mcp · job 74%Tickerr Live Status · job 77%ultra-prompt · job 71%apiclaw_api_server · job 71%datastore · job 74%sociality-mcp · job 70%intelcue · job 79%moltarch · job 75%dynamic_feed · job 73%amazon-data · job 74%talnexis · job 80%scout · job 76%trirank · job 74%Market Intelligence · job 73%moonlings · job 77%seller_labs_mcp · job 73%Agentic Shelf · job 72%aidemos_mcp · job 75%omnisignal_2 · job 75%cloro · job 71%RightAIChoice MCP Server · job 84%auracite · job 74%MarketIntel MCP Server · job 74%ai_visibility_check · job 73%competitor_intelligence · job 75%ProofStack MCP · job 75%Tool Directory MCP Server · job 81%open_seo · job 72%eonik MCP · job 74%TrustGrowth MCP Server · 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