Crane Ledger

A modern, API-first accounting platform built for the next generation of AI builders.

Crane Ledger Documentation

Build powerful financial applications with our headless accounting API. REST, GraphQL, and MCP protocols for complete automation.

Get StartedAPI Reference

</>

REST API

Traditional REST endpoints for straightforward accounting operations.

View REST API →

◈

GraphQL API

Flexible querying for complex financial reports and relationships.

View GraphQL API →

⬡

MCP Protocol

AI-native protocol for accounting operations with AI assistants.

View MCP Protocol →

Getting Started

Authentication
Quick Start Guide
Organizations & Hierarchy

Popular Guides

Webhooks
Audit Trails
Financial Reporting

Verwandte Server

Kone.vc

Sponsor

Monetize your AI agent with contextual product recommendations

VisiData MCP Server

Interact with VisiData, a terminal spreadsheet multitool for discovering and arranging tabular data in various formats like CSV, JSON, and Excel.

Todo List

A server that provides a comprehensive API for managing todo items.

Apple MCP tools

Integrate with Apple's native apps like Contacts, Notes, Messages, and Mail.

Atlassian

Interact with Atlassian tools like Confluence and Jira.

CoverSavvy Term Life Rates

Get indicative term life insurance rates for a variety of ages, updated recently.

MCP Journaling Server

An interactive journaling server with emotional analysis and automatic conversation saving.

XMind MCP

An MCP server for reading and writing local XMind mind map files. Exposes over 25 tools that let any MCP-compatible AI client create, navigate, and edit .xmind files directly on disk.

Miro

Access the Miro REST API v2 for managing boards, creating content, and collaborating.

Amazing Marvin AI Assistant

Connect your Amazing Marvin productivity system with AI assistants for smarter task management.

Pulsetic MCP Server

The Pulsetic MCP Server connects Pulsetic monitoring with AI agents and MCP-compatible tools, enabling direct access to uptime data, cron monitoring results, incident management workflows, and status page information through the Model Context Protocol (MCP). It allows teams to securely expose operational monitoring data in a structured format, making it easy to build AI-driven automation, monitoring assistants, and intelligent operational workflows without custom middleware.