mcp · handle linkedin_marketing
LinkedIn Manager MCP · job 75%famelab_linkedin · job 74%linkmcp · job 82%LinkedIn Post MCP · job 75%politereach · job 79%linksmcp · job 82%Quibbly LinkedIn MCP · job 73%taplio_linkedin_mcp · job 74%linkedin-mcp-chrome · job 79%Connected Workspace MCP · job 72%linkedin_mcp_server_2 · job 79%Iridium · job 74%TikTok Ads MCP · job 73%linkedin_mcp_server · job 76%Prosp MCP Server · job 79%zooq · job 77%yadulink · job 72%LinkedIn MCP · job 79%Periodix Actions · job 79%Ficiel MCP · job 74%gtm_api_linkedin_mcp · job 74%curviate · job 79%Curtis · job 82%veezee_veezee · job 77%LinkedIn MCP Server · job 76%your_echo_agent · job 75%reachmcp · job 75%opencomment_ai · job 77%linkedin_mcp_2 · job 84%iridium · job 74%Apex MCP · job 71%warm_leads · job 76%proReach LinkedIn MCP Server · job 74%Datacircle MCP Server · job 74%LinkedIn Ads MCP · job 78%Quillpost · job 73%LinkedIn Ads Readonly MCP · job 77%Linkedmash · job 73%GTM Otto MCP · job 73%Flux · job 78%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