Compatible with every major AI agent and IDE
Get customer on JobProgress (Leap)
Returns addresses, project history, and custom metadata. Essential for deep intelligence on a customer before preparing estimates or jobs. Retrieves details for a specific customer
Get job on JobProgress (Leap)
Returns project descriptions, cost estimates, and current stage in the workflow. Use this to analyze a project's progress or provide customer updates. Retrieves details for a specific job
List appointments on JobProgress (Leap)
Essential for managing the field service calendar. Lists all scheduled appointments
List customers on JobProgress (Leap)
Returns customer names, contact info, and IDs. Use this as the main starting point for customer management or finding a specific client. Lists all customers in JobProgress
List estimates on JobProgress (Leap)
Useful for auditing sales performance and identifying pending project approvals. Lists all job estimates
List jobs on JobProgress (Leap)
Includes job titles, status, and associated customer IDs. Use this to monitor the project pipeline and upcoming work. Lists all jobs in JobProgress
List proposals on JobProgress (Leap)
Useful for monitoring contract acceptance and sales conversions. Lists all job proposals
List tasks on JobProgress (Leap)
Essential for helping the user manage their daily to-do list. Lists all tasks
List users on JobProgress (Leap)
Useful for identifying assignees or sales reps. Lists all users in the organization
List workflows on JobProgress (Leap)
Useful for understanding business processes. Lists all configured workflows
How Vinkius protects your data
Can I see my schedule?
Yes, the list_appointments tool allows you to retrieve scheduled appointments from your JobProgress account.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
JobProgress (Leap) Capabilities for AI Assistants
This integration supports direct MCP execution, enabling your chatbots to query and modify data within these specific environments.
Optimizing contractor tools with Claude
Use JobProgress (Leap) to manage contractor tools via conversational interfaces. The integration centralizes access control for erp operations operations performed by ChatGPT.
Intelligent estimates Management
The JobProgress (Leap) toolkit enables AI agents to execute estimates commands. It handles protocol translation for erp operations integrations natively.
JobProgress (Leap). Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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