Compatible with every major AI agent and IDE
Get project on Celoxis
Get an explicit Celoxis project and its complete intrinsic properties structure by ID
List approvals on Celoxis
List explicit tracking objects identifying pending/cleared approvals over timesheets and expenses constraints
List clients on Celoxis
List explicit top-level CRM organizational clients linked internally to distinct portfolios
List expenses on Celoxis
List raw billable/non-billable expenses physically mapped onto task items inside the ecosystem
List issues on Celoxis
List custom app items representing blocked issues explicit to complex workflows mapping problems
List milestones on Celoxis
List raw milestones natively mapping absolute phase delivery tracking inside the WBS
List portfolios on Celoxis
List strategic global tracking Portfolios mapping top-level aggregates over child projects natively
List projects on Celoxis
List all top-level project portfolio items in Celoxis. Returns physical IDs, names, status, and timeline data
List resources on Celoxis
List all explicit Celoxis working resources parsing the core user mappings handling allocations
List risks on Celoxis
List explicit organizational risks bounded natively via the Celoxis custom application matrix
List tasks on Celoxis
List comprehensive Work Breakdown Structure (WBS) tasks representing concrete deliverables within active projects
List time entries on Celoxis
List actual time entries logged explicitly against Celoxis tasks or projects for accounting
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.
Does it map team hours and billable expenses internally?
Absolutely. Using the resources, time entries, and expenses tools, the agent accurately links organizational workers, the exact time they logged natively, and their costs—directly mapping them onto specific project ledgers on the fly.
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.
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.
Triggering Celoxis via Natural Language
Use Celoxis with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
ppm & AI Execution
Use Celoxis to manage ppm via conversational interfaces. The integration centralizes access control for erp operations operations performed by ChatGPT.
Next-Gen resource management Automation
Use Celoxis to interface with resource management via natural language. The toolkit provides Cursor with LLM-friendly schemas for erp operations tasks.
Celoxis. 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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