Enterprise Proposal Analytics

Enterprise Proposal Analytics MCP Connector for Claude

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Calculate key performance indicators for enterprise sales proposals.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides analytical tools to measure enterprise sales effectiveness. It allows AI agents to calculate win rates using calculate_win_rate_metrics, assess financial impact with calculate_proposal_value_metrics, measure sales velocity via calculate_cycle_time_metrics, and evaluate market risk through analyze_competitive_positioning.

sales-opskpiwin-raterevenueforecasting

4 tools expose this connector's capabilities to your AI agent.

analyze_competitive_positioning

Evaluate how pricing and competition influence success likelihood

calculate_cycle_time_metrics

Measure the speed of the sales process

calculate_proposal_value_metrics

Assess the financial impact of proposal activities

calculate_win_rate_metrics

Calculate fundamental efficiency of the proposal pipeline

See how to talk to your AI agent using Enterprise Proposal Analytics.

What is my current win rate if I sent 50 proposals and won 15?

Your current win rate is 30%.

Calculate the average value of my won proposals: [10000, 25000, 15000].

The average value of your won proposals is $16,666.67.

How long does it take to close deals? The durations are 10, 20, and 30 days.

The average cycle time is 20 days, with the fastest close at 10 days and the slowest at 30 days.

You can use the `calculate_win_rate_metrics` tool by providing the total number of proposals sent and the number of proposals won.

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