EMI Calculator MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| calculate_emiA | Calculate the equated monthly instalment (EMI) for a single loan scenario. Args: principal: Loan amount. interestRate: Annual interest rate expressed in percent (e.g. 9.5). tenure: Total tenure in months. calculation_method: Backend calculation strategy (for example, "reducing"). Returns: Backend JSON payload containing EMI details or an error structure. |
| calculate_scheduleA | Retrieve the amortization schedule for a loan configuration. Args: principal: Loan amount. interestRate: Annual interest rate expressed in percent (e.g. 9.5). tenure: Total tenure in months. calculation_method: Backend calculation strategy (for example, "reducing"). Returns: Backend JSON payload describing the amortization schedule or an error structure. |
| compare_loansA | Compare EMI outputs for multiple loan scenarios in a single API call. Args:
scenarios: List of loan dictionaries with keys
Returns: Backend JSON payload with comparison results or an error structure. |
| calculate_with_prepaymentA | Calculate EMI outcomes when regular prepayments reduce the outstanding principal. Args: principal: Loan amount. interestRate: Annual interest rate expressed in percent (e.g. 9.5). tenure: Total tenure in months. prepayment_amount: Amount paid on each prepayment event. prepayment_frequency: Frequency descriptor (for example, "monthly" or "quarterly"). prepayment_start_month: Month number when prepayment begins (1-indexed). calculation_method: Backend calculation strategy (for example, "reducing"). Returns: Backend JSON payload capturing EMI adjustments, duration changes, and savings or an error structure. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: single EMI, full amortization schedule, multi-scenario comparison, and prepayment impact. No overlap in functionality, making tool selection straightforward for an agent.
Three tools follow the 'calculate_' prefix pattern (calculate_emi, calculate_schedule, calculate_with_prepayment), while compare_loans uses a different verb. The naming is still consistent in style (verb_noun, snake_case) and readable, but the deviation prevents a perfect score.
Four tools are well-scoped for an EMI calculator: covering single calculation, schedule generation, comparison, and prepayment scenarios. The number is neither too thin nor excessive for the domain.
The surface covers the core lifecycle of EMI computation: basic EMI, amortization schedule, loan comparison, and prepayment analysis. No obvious missing operations for a standard EMI calculator, as the tools return comprehensive backend payloads.