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Ramakrishna-Gedala

EMI Calculator MCP Server

by Ramakrishna-Gedala
OverviewSchemaRelated ServersScoreDiscussions
Python

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

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

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
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 name, principal, interestRate, and tenure. Optional key calculation_method overrides the default. calculation_method: Default strategy applied when a scenario omits it.

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

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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