financeanalytics-data

Marlo

core-marlo

by core-marlo

Marlo: integrated finance and operations solutions for maritime and shipping companies — streamline accounting, fleet op

Provides integration with Marlo platform services for finance and operations platform designed for maritime and shipping companies.

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Specialized for maritime and shipping industryMulti-currency banking integrationBuilt-in sanctions screening

best for

  • / Maritime CEOs and CFOs tracking fleet performance
  • / Shipping operations managers monitoring voyages
  • / Maritime accountants managing multi-currency finances
  • / Compliance officers screening counterparties

capabilities

  • / Retrieve vessel data and fleet information
  • / Access voyage management and tracking data
  • / Query maritime banking and payment records
  • / Pull financial analytics and cashflow data
  • / Check compliance and sanctions screening results
  • / Access loan and financing information

what it does

Connects to Marlo's maritime finance and operations platform to access vessel data, voyage management, banking, and compliance information for shipping companies.

about

Marlo is an official MCP server published by core-marlo that provides AI assistants with tools and capabilities via the Model Context Protocol. Marlo: integrated finance and operations solutions for maritime and shipping companies — streamline accounting, fleet op It is categorized under finance, analytics data.

how to install

You can install Marlo in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Marlo is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

A Python client for interacting with the Marlo MCP (Model Context Protocol) server. This package provides an async client for making authenticated requests to the MCP API and includes example tools for vessel data retrieval.

What is Marlo?

Marlo is a finance and operations platform designed for maritime and shipping companies.

Marlo helps shipping businesses manage their entire operations from a single platform. It offers tools for:

  • Voyage Management: Plan routes, track progress, and log updates for each voyage.
  • Banking: Manage accounts in multiple currencies, send and receive payments, and access maritime-focused banking features like global accounts and borderless cards.
  • Loans & Finance: Request and track loans for cargo contracts, demurrage, and other financing needs. It also helps monitor covenants and keep financial records in order.
  • Analytics: View up-to-date financial and operational data in one dashboard, including cashflow, valuations, and credit scores.
  • Accounting: Sync with accounting software to maintain accurate financial records.
  • Email Integration: Centralize all chartering and operations emails with filters and tags for easy sorting.
  • Risk & Compliance: Track compliance, screen counterparties against global sanctions lists, monitor loan terms, and manage carbon intensity and emissions reporting.

Marlo is designed for various roles in the maritime industry, including CEOs, CFOs, chartering managers, operations managers, accountants, vessel owners, operators, and commercial managers. Its goal is to simplify operations, ensure compliance, and help maritime businesses grow. To subscribe to Marlo or request a demo, simply email our team at [email protected]. We're happy to help you get started!

Features

  • Async HTTP client for Marlo MCP API
  • Easy authentication via API key
  • Example usage for vessel data retrieval

Requirements

  • Python 3.12+
  • uvx guide
  • httpx (installed automatically)
  • mcp[cli] (installed automatically)

🔌 MCP Setup

here the example use for consume the mcp server

{
    "mcpServers": {
        "marlo-mcp": {
            "command": "uvx",
            "args": ["marlo-mcp"],
            "env": {
                "MARLO_MCP_API_KEY": "<your-api-key>"
            }
        }
    }
}

For Claude Desktop, you can install and interact with it right away by running:

mcp install PATH/TO/main.py -v MARLO_MCP_API_KEY=<your-api-key>

Available tools

The Marlo MCP client provides the following tools:

  • get_vessels: Get all available vessels with minimal vessel details
  • get_vessel_details: Get details of a specific vessel
  • create_vessel: Create a new vessel
  • search_ports: Search multiple ports
  • search_cargos: Search for cargos
  • get_all_charter_specialists: Get all available charter specialists
  • search_charterer_contacts: Search for charterer contacts
  • get_all_voyages: Get all voyages
  • get_voyage_details: Get details of a specific voyage
  • get_voyage_profit_and_loss: Get voyage profit and loss
  • get_all_estimates_sheet: Get all estimates sheet
  • get_estimate_sheet_details: Get details of a specific estimate sheet
  • get_all_cargo_books: Get all cargo books
  • get_cargo_book_details: Get details of a specific cargo book
  • list_all_vessel_fixtures: List all vessel fixtures
  • get_vessel_fixture_details: Get details of a specific vessel fixture
  • get_voyage_contacts: Get voyage contacts
  • get_voyage_contacts_financial_details: Get financial details for voyage contacts
  • get_vessel_fixture_contacts: Get contacts for a vessel fixture
  • get_vessel_fixture_contacts_financial_details: Get financial details for vessel fixture contacts
  • get_invoice_details: Get invoice details
  • get_bill_details: Get bill details
  • voyage_port_disbursements: Get voyage port disbursements
  • get_voyage_laytime: Get voyage laytime
  • list_all_customers: List all customers
  • list_all_vendors: List all vendors
  • list_all_lendors: List all lendors
  • get_customer_details: Get customer details
  • get_vendor_details: Get vendor details
  • list_all_bills: List all bills
  • list_all_invoices: List all invoices
  • get_journal_entries: Get journal entries
  • list_all_vendor_credits: List all vendor credits
  • get_vendor_credit_details: Get vendor credit details
  • list_all_credit_notes: List all credit notes
  • get_credit_note_details: Get credit note details
  • list_all_external_loans: List all external loans
  • get_external_loan_details: Get external loan details
  • list_all_marlo_loans: List all marlo loans
  • get_market_rates: List all market rates
  • get_market_rate_details: Get market rate details
  • get_covenant: Get covenant
  • get_credit_score: Get credit score
  • get_interest_rates: List all interest rates
  • list_all_sanctions_case_manager: List all sanctions case manager
  • get_sanctions_case_manager_details: Get sanctions case manager details
  • search_sanctions: Search sanctions
  • search_individual_sanction: Search individual sanction
  • list_all_bank_accounts: List all bank accounts
  • list_all_bank_transactions: List all bank transactions
  • get_profit_loss: Get profit and loss data
  • get_balance_sheet: Get balance sheet data
  • get_global_search_vessel_list: Get a global search vessel list
  • get_vessel_valuation: Get vessel valuation
  • list_approval_transactions: List approval transactions
  • get_global_account_currency_balance: Get a global account currency balance
  • list_all_global_accounts: List all global accounts
  • list_all_payouts: List all payouts
  • get_payout_details: Get payout details
  • get_company_valuation: Get a valuation of company
  • get_operational_cashflow: Get operational cashflow data
  • get_cashbalance_streams: Get cashbalance streams data
  • get_all_borrowers_summary_for_lender: Get summary of all borrowers with their loan statistics and portfolio totals
  • get_borrower_financial_details_for_lender: Get comprehensive financial analysis and loan details for a specific borrower company

Usage

Example usage of Marlo MCP Client

🔑 License

MIT © 2025 Marlo

FAQ

What is the Marlo MCP server?
Marlo is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Marlo?
This profile displays 30 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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MCP server reviews

Ratings

4.830 reviews
  • Ganesh Mohane· Dec 28, 2024

    According to our notes, Marlo benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Min Abbas· Dec 12, 2024

    I recommend Marlo for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Shikha Mishra· Dec 8, 2024

    Marlo reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Emma Sethi· Dec 4, 2024

    Strong directory entry: Marlo surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Diya Johnson· Nov 23, 2024

    Marlo is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Sakshi Patil· Nov 19, 2024

    We wired Marlo into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Charlotte Huang· Nov 3, 2024

    We evaluated Marlo against two servers with overlapping tools; this profile had the clearer scope statement.

  • Liam Menon· Oct 22, 2024

    Marlo is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Liam Bansal· Oct 14, 2024

    We evaluated Marlo against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Oct 10, 2024

    Marlo is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

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