Clozd MCP Server
Clozd helps revenue teams understand the real reasons behind every customer decision. By speaking directly with customers, Clozd uncovers candid feedback teams often miss and turns it into decision intelligence that helps companies win more deals, reduce churn, and make better strategic decisions.
About This MCP Connection
Teams can configure Gong as both an MCP client (pulling external context into your revenue workflows in Gong) and an MCP server (enabling Gong's revenue-specific agents to work with every other AI agent in your stack) to leverage AI-powered insights from account and deal activity.
Connecting to the Clozd MCP server, securely integrates your Clozd Decision Intelligence data (win-loss analysis and customer feedback) directly into Gong agents.
Connecting to the Clozd MCP server, securely integrates your Clozd Decision Intelligence data (win-loss analysis and customer feedback) directly into Gong agents.
Media
Available Tools
get_programs
get_deals
get_responses
get_response_summaries
get_transcripts
get_decision_drivers
get_decision_driver_categories
get_decision_driver_category_counts
get_driver_quotes
get_win_rates
get_competitors
get_competitor_sentiment_drivers
get_awe_deals
get_tags
get_gong_drivers
get_gong_driver_categories
get_gong_driver_counts
get_gong_driver_category_counts
get_gong_driver_overlap
What You Can Do with this MCP Connection
Pre-call competitive context — Before a rep calls an account that's evaluating a competitor, Gong's briefer pulls from Clozd MCP to surface the top 2-3 reasons reps have lost to that competitor recently, so the rep walks in prepared.
Deal risk flagging — Gong detects deal stagnation signals and calls Clozd MCP to check if similar deals (same competitor, same segment) ended in a loss — and why — so the briefer can warn the rep proactively.
Renewal prep — Before a CS call, the briefer queries Clozd MCP for any win-loss feedback tied to that account or similar profiles, surfacing themes like "felt underserved post-sale" before the rep dials.
Post-loss debrief assist — After a deal is marked Closed Lost in Gong, the briefer pulls Clozd MCP data to show the rep how this loss compares to historical patterns — same objections, same competitor, same stage where deals tend to die.
New rep ramp — Gong's briefer uses Clozd MCP to inject relevant win-loss context into a new rep's first calls — e.g., "deals in this vertical tend to lose on implementation concerns" — turning institutional knowledge into real-time coaching.
Deal risk flagging — Gong detects deal stagnation signals and calls Clozd MCP to check if similar deals (same competitor, same segment) ended in a loss — and why — so the briefer can warn the rep proactively.
Renewal prep — Before a CS call, the briefer queries Clozd MCP for any win-loss feedback tied to that account or similar profiles, surfacing themes like "felt underserved post-sale" before the rep dials.
Post-loss debrief assist — After a deal is marked Closed Lost in Gong, the briefer pulls Clozd MCP data to show the rep how this loss compares to historical patterns — same objections, same competitor, same stage where deals tend to die.
New rep ramp — Gong's briefer uses Clozd MCP to inject relevant win-loss context into a new rep's first calls — e.g., "deals in this vertical tend to lose on implementation concerns" — turning institutional knowledge into real-time coaching.