Compatible with every major AI agent and IDE
Create submission on Loopio
Requires a project name. Optionally accepts a description, company name, due date, project type, and owner ID. The project will be created in "Not Started" status and ready for team collaboration. Create a new RFP project/submission in Loopio
Get project on Loopio
Use this to check the state of a specific RFP response. Get details of a specific Loopio project by ID
Get questionnaire responses on Loopio
If no entryId is provided, returns all entries and their current responses. Use this to review what answers have been drafted or finalized for RFP questions. Get responses for a specific questionnaire entry or all entries in a project
List libraries on Loopio
Each stack contains approved Q&A entries organized by category. Use this to discover which knowledge bases are available for searching. List all library stacks available in Loopio
List projects on Loopio
Each project represents an active RFP response or questionnaire. Use this to discover all ongoing and recent response initiatives. Optionally limit results with the limit parameter. List all Loopio projects (RFPs, RFIs, questionnaires) in your workspace
List questionnaires on Loopio
Each entry represents a question from an RFP, RFI, or security questionnaire that needs to be answered. Use this to understand the scope of a project and track which questions have been answered. List all questionnaire entries (questions) for a specific Loopio project
List team members on Loopio
Use this to identify who is assigned to projects, find user IDs for assigning project ownership, or understand team composition. List all team members in your Loopio workspace
Search library on Loopio
This is the primary way to find existing approved responses before drafting new answers. You can refine results with optional filters like tags, category, stack, and whether to search in questions or answers. Always use this before creating new library entries. Search the Loopio knowledge library for approved Q&A entries
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
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.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
Can I create new RFP projects programmatically through the AI agent?
Absolutely. The create_submission tool allows the agent to spin up new Loopio projects with a name, description, company context, due date, and assigned owner. The project is created in 'Not Started' status and ready for immediate team collaboration and answer drafting.
What can AI Agents do with Loopio?
We map standard API endpoints to agent-compatible instructions. Connect Loopio to execute these core functional operations.
The Future of rfp management
The Loopio toolkit enables AI agents to execute rfp management commands. It handles protocol translation for productivity integrations natively.
Connecting proposal automation with Cursor
Add proposal automation functionality to your custom chatbots. The Loopio MCP handles the payload formatting required for ChatGPT and Claude to interface with productivity endpoints.
Loopio. 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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