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Connect Claude, Cursor, ChatGPT or Gemini to your Manglai platform and query carbon, water and waste data in natural language.

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What Can You Do?

Companies

Query company hierarchy, buildings, departments and annual configuration

Consumptions

List and filter energy consumption records. Get dashboards by category, building and period

Emissions

Calculated emissions by scope, category, building and month. Aggregated CO₂e dashboard

Invoices

Electricity, gas, fuel, water and waste invoices with CO₂e data

Vehicles

Vehicle fleet with engine type, fuel and associated emissions

Employees

Employee list and commuting data

Business Travel

Travel records with transport type and emissions per trip

GLEC Logistics

Logistics service footprint aligned with the GLEC standard

Goals

Reduction targets, tracking tasks and projection scenarios

Reference Data

GHG Protocol categories, emission factors, recommended inputs by country

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Available Tools

ToolDescription
get_companiesList of companies in the organization
get_company_buildingsBuildings for a company
get_company_departmentsDepartments for a company
get_company_year_configurationActive year configuration
get_consumptionsConsumption records with filters by company, category and period
get_consumptionSingle consumption record by ID
get_consumptions_dashboardAggregated consumption summary
get_emissionsList of calculated emissions
get_emissions_dashboardDashboard by scope, category and building
get_invoicesInvoices with filters by company, type and period
get_invoiceSingle invoice by ID
get_invoices_dashboardInvoice summary
get_vehiclesFleet vehicles
get_vehicleSingle vehicle by ID
get_vehicles_dashboardFleet summary
get_employeesEmployee list
get_employeeSingle employee by ID
get_business_travelsBusiness travel records with emissions
get_business_travels_dashboardBusiness travel dashboard
get_service_footprint_glecGLEC logistics footprint
get_service_footprint_glec_dashboardGLEC dashboard
get_goalsReduction goals
get_tasksTasks linked to goals
get_scenariosProjection scenarios
get_categoriesGHG Protocol categories (scope, category, subcategory)
get_emission_factorsCustom emission factors
get_recommended_inputsRecommended inputs by country
get_suppliersSuppliers and clients
get_usersOrganization users

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How It Works

You: "What are my company's emissions in 2024 by scope?"
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The assistant calls get_emissions_dashboard() via MCP
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Manglai MCP Server queries the API with your Bearer token
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The assistant receives the data and presents a readable summary

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Security

  • Read-only — MCP tools only read data, never modify it
  • Token-scoped access — Access is limited to what your token can see
  • No data storage — Data flows through directly, nothing is cached

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Architecture

Claude Desktop / Cursor / ChatGPT
  ↕ MCP Protocol (SSE or stdio)
mcp-remote (local proxy, if needed)
  ↕ HTTPS + Bearer token
Manglai MCP Server (mcp.manglai.io)
  ↕ Internal API
Manglai Platform

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Getting Started

Quickstart

Set up the Manglai MCP in 5 minutes