LP Reporting Metrics Engine

LP Reporting Metrics Engine MCP Connector for Claude

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Calculates comprehensive LP performance dashboards, trend analysis, and peer benchmarking.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized calculation tools for private equity and venture capital fund performance. It connects AI agents to critical LP reporting metrics, allowing for the generation of high-level dashboards using get_lp_dashboard, evaluating performance shifts via analyze_performance_trends, benchmarking against competitors with compare_to_peers, and assessing capital usage through calculate_deployment_efficiency.

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

analyze_performance_trends

Evaluates how fund performance has changed over a specific sequence of reporting periods

calculate_deployment_efficiency

Analyzes how effectively the fund is utilizing its committed capital

compare_to_peers

Benchmarks the current fund metrics against a set of peer fund data

get_lp_dashboard

Generates a high-level summary of the current fund performance for an LP

See how to talk to your AI agent using LP Reporting Metrics Engine.

Generate a performance dashboard for a fund with TVPI of 1.5, DPI of 0.5, IRR of 15%, a portfolio value of $50M, and $30M total called.

The fund has a total value of $50,000,000, total called capital of $30,000,000, a TVPI of 1.5, a DPI of 0.5, and an IRR of 15.0%. The multiple of capital is 1.67.

Analyze the performance trends for a fund with these historical metrics: [{'tvpi': 1.2, 'dpi': 0.2, 'irr': 10}, {'tvpi': 1.4, 'dpi': 0.3, 'irr': 12}] and a quarterly reporting frequency.

The TVPI trend is increasing, the DPI trend is increasing, and the IRR trend is increasing. The volatility score for the IRR is 1.41.

Check the deployment efficiency for a fund with a 75% deployment rate, $100M total called, and $10M uninvested capital.

The deployment status is moderate, and there is a low cash drag risk.

The server calculates TVPI, DPI, IRR, deployment efficiency, and peer-relative performance metrics.

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