# Cash-to-Cash Cycle Calculator MCP MCP > Cash-to-Cash Cycle Calculator computes how fast your business turns inventory into cash. Use it to calculate your current cycle time, seeing exactly how reducing Days Sales Outstanding (DSO), Inventory Days (DIO), or Payables Days (DPO) shifts your liquidity. It also pulls industry standards and evaluates if your operational health matches the benchmark for sectors like Retail or Manufacturing. ## Overview - **Category:** finance - **Price:** Free - **Tags:** c2c, cash-flow, working-capital, financial-metrics, liquidity ## Description This connector lets you run a deep dive on working capital efficiency without building custom models. You input specific metrics, and it calculates your full Cash Conversion Cycle (C2C). More useful still, you can see the direct impact of improving any single metric—for instance, if cutting DSO by just two days saves significant cash. Need context? Run through industry standards for comparison. If you're used to finding specialized financial tools in separate databases, Vinkius centralizes access here so you connect your agent once and get visibility across multiple critical metrics. It’s built for the finance team that needs quick, reliable data to present major shifts in cash flow. You stop guessing about working capital health; you start seeing it quantified against real-world benchmarks. ## Tools ### calculate_cycle_metrics Computes your total Cash Conversion Cycle and shows how changes in working capital affect it. ### evaluate_operational_health Compares your current cycle time against established industry benchmarks to assess performance risk. ### lookup_industry_standard Pulls the typical Cash Conversion Cycle benchmark for specific sectors like Retail or Manufacturing. ## Prompt Examples **Prompt:** ``` Calculate my C2C if DSO is 45, DIO is 60, and DPO is 30. ``` **Response:** ``` Your total Cash Conversion Cycle is 75 days. Reducing DSO, DIO, or DPO by one day each would reduce your cycle by 1 day. ``` **Prompt:** ``` What is the industry standard for the Retail sector? ``` **Response:** ``` The benchmark Cash Conversion Cycle for the Retail sector is 30 days. ``` **Prompt:** ``` Is a C2C of 50 days healthy for the Manufacturing sector? ``` **Response:** ``` With a benchmark of 45 days for Manufacturing, a 50-day cycle is considered Standard/Critical depending on the gap analysis. ``` ## Capabilities ### Compute Cycle Time Calculates your full Cash Conversion Cycle (C2C) using provided metrics like DSO, DIO, and DPO. ### Benchmark Performance Compares your current operational status against typical industry standards for your sector. ### Assess Metric Impact Determines the exact cash flow improvement achieved by reducing specific working capital periods (DSO, DIO, DPO). ## Use Cases ### Preparing for Board Review A CFO needs to report liquidity strength in a new market. They first use `lookup_industry_standard` to find the benchmark for that sector, then run their own data through `calculate_cycle_metrics`. This quickly shows management where they stand and how far behind or ahead they are. ### Targeting Working Capital Reduction A Supply Chain Manager wants to cut cycle time. They use the system's ability to model impact, seeing that reducing DIO by 10 days is more valuable than focusing solely on DSO. This pinpoints the single best area for process improvement. ### Assessing New Business Units An analyst joins a new division and needs to know if its current operational rhythm is healthy. They use `evaluate_operational_health` with minimal input, instantly getting an assessment score against the industry standard for that type of business. ### Quick Liquidity Check A finance team member needs a rapid check before a meeting. Instead of manually calculating metrics, they use `calculate_cycle_metrics` with just three inputs to get the cycle time in seconds. ## Benefits - Know your true cycle time instantly. Use `calculate_cycle_metrics` to get an exact C2C number, so you stop relying on estimates for liquidity reporting. - Benchmark against reality. Run a quick check with `lookup_industry_standard` to see what Retail or Manufacturing typically achieves, giving immediate context to your numbers. - Quantify risk immediately. The system uses `evaluate_operational_health` to score your company's performance relative to the best practices in your sector. - Model improvements fast. You can see exactly how many days of reduction in DSO or DIO translates into better cash flow without running complex models yourself. - Streamline reporting. Instead of gathering data from three different departments, you run one analysis using the entire MCP suite. ## How It Works The bottom line is, it gives you one clear number for your cash flow efficiency, plus the context needed to know if that number is good or bad. 1. Provide inputs for your current operational metrics, such as DSO and DIO. 2. The MCP computes the cycle time and runs a comparison against sector-specific benchmarks. 3. You get an actionable report showing both your current C2C and what that number would look like if you adjusted key working capital periods. ## Frequently Asked Questions **How do I use `calculate_cycle_metrics`?** You provide three inputs: DSO, DIO, and DPO. The system computes your total Cash Conversion Cycle time and models the impact of reducing any single period. **What is the purpose of `lookup_industry_standard`?** This tool provides benchmark data for specific sectors (like Retail or Manufacturing). It lets you know what a 'good' C2C cycle looks like in your competitive space. **Does `evaluate_operational_health` just give me a score?** It gives more than a score. It compares your full operational metrics against the industry standard, flagging areas of risk and providing context for management review. **Can I calculate my C2C using `calculate_cycle_metrics` if I don't have all three days?** The tool is designed to use multiple inputs. You should provide as many reliable metrics (DSO, DIO, DPO) as possible for the most accurate calculation. **When using `calculate_cycle_metrics`, how does the MCP handle mismatched or negative input data for DSO, DIO, or DPO?** The MCP validates your inputs immediately. If you provide inconsistent or impossible metrics, it returns a clear error code and specifies which parameter needs correction before running the calculation. **What kind of source does `lookup_industry_standard` draw its benchmark figures from?** The benchmarks are derived from aggregated industry reports. They provide generalized, historical averages for sectors like Retail or Manufacturing, giving you a solid guideline instead of live company data. **After I run `evaluate_operational_health`, does the MCP offer specific recommendations for improving my C2C?** The evaluation points out areas needing attention. Instead of just flagging an issue, it highlights which operational metric, like inventory turnover or accounts receivable lag, is causing the biggest gap relative to industry peers. **If I want a full C2C picture, do I need to call all the tools, including `evaluate_operational_health`, sequentially?** No. The tools operate independently. You should use them based on your immediate goal—whether you're just checking benchmarks with `lookup_industry_standard` or running a full assessment. **What is the Cash Conversion Cycle (C2C)?** The C2C measures the time between paying for raw materials and receiving cash from sales. A shorter cycle indicates better liquidity. **How can I use `calculate_cycle_metrics`?** Provide your Days Sales Outstanding (DSO), Days Inventory Outstanding (DIO), and Days Payable Outstanding (DPO) to see your total cycle time and potential efficiency gains. **Can I compare my performance to other industries?** Yes, use `lookup_industry_standard` to find benchmarks and `evaluate_operational_health` to see if your current cycle is optimized or critical compared to your sector.