Integrate JobNimbus with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet contact on JobNimbus
Returns addresses, phone numbers, email, and custom fields. Use this for deep intelligence on a customer before an interaction. Retrieves details for a specific contact
Get job on JobNimbus
Returns project descriptions, associated contact IDs, and current workflow status. Use this to analyze project specifics or provide an update on a job. Retrieves details for a specific job
List boards on JobNimbus
Useful for navigating the account structure. Lists all configured boards
List contacts on JobNimbus
Returns names, contact types, and IDs. Use this to identify clients or start a search for a specific customer. Lists all contacts in JobNimbus
List jobs on JobNimbus
Includes job titles, status, and IDs. Essential for monitoring project flow and upcoming work. Lists all jobs in JobNimbus
List payments on JobNimbus
Essential for monitoring revenue and project billing status. Lists all recent payments
List products on JobNimbus
Useful for auditing available services and pricing items. Lists all products and services
List tasks on JobNimbus
Returns task descriptions, due dates, and IDs. Use this to help the user manage their daily workload or audit team activities. Lists all tasks
List users on JobNimbus
Useful for identifying sales reps or project managers. Lists all users in the organization
List workflows on JobNimbus
Useful for understanding the steps in the company's business processes. Lists all configured workflows
Security & Code Integrity Audit
Every tool in the JobNimbus MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
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 happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
Does it support payment tracking?
Yes, you can retrieve recent payments using the list_payments tool.
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.
Triggering JobNimbus via Natural Language
Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the JobNimbus MCP server to manage operations across the following domains.
Secure contractor management Access for Agents
Connect the JobNimbus server to enable contractor management workflows. The integration provides structured schemas for Claude to mutate construction data.
Automating crm with AI
Add crm functionality to your custom chatbots. The JobNimbus MCP handles the payload formatting required for ChatGPT and Claude to interface with construction endpoints.
JobNimbus. 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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