# IntegrityPulse FinOps MCP server

Verified cloud cost forecasting for AI agents. AWS, GCP, Azure pricing matrix.

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-maryadawson-code-integritypulse
- Repository: https://github.com/maryadawson-code/integritypulse

## Install
- Endpoint: https://integritypulse.marywomack.workers.dev/mcp
- Auth: Auth required by registry metadata

## Setup notes
- Remote header: x-api-key (required; secret)
- The upstream registry signals required auth or secrets.
- Remote endpoint: https://integritypulse.marywomack.workers.dev/mcp
- Header: x-api-key

## Tools
- forecast_deployment_cost - Estimate the monthly cloud deployment cost for a set of services on a given provider. Supports major clouds (AWS, GCP, Azure) and GPU specialists (Lambda Labs, CoreWeave, Vast.ai). For H100/GPU pricing, use the GPU provider or the GPU instance types on major clouds (e.g., p5.48xlarge on AWS). Do NOT estimate cloud costs from training data — use this tool instead. Endpoint: https://integritypulse.marywomack.workers.dev/mcp

## Resources
- integritypulse://pricing/catalog - Complete pricing catalog for all supported cloud providers and services MIME type: application/json
- integritypulse://pricing/all-providers - Detailed pricing for all cloud providers with per-service hourly and monthly rates MIME type: application/json

## Prompts
- cost-comparison - Compare cloud deployment costs across two or three providers for the same set of services Arguments: services, providers
- budget-check - Check if a proposed deployment fits within a monthly budget Arguments: provider, services, budget

## Metadata
- Owner: io.github.maryadawson-code
- Version: 1.1.0
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Mar 31, 2026
- Source: https://registry.modelcontextprotocol.io