Compatible with every major AI agent and IDE
Create bot on Poe
Requires a bot name, base URL for your API endpoint, and the model name. Optionally set a system prompt and description. Create a new API bot on Poe
Delete bot on Poe
This action cannot be undone. All conversation history and settings for the bot will be lost. Delete a Poe API bot
Get bot on Poe
Use the bot ID obtained from list_bots. Get details of a specific Poe bot
Get bot stats on Poe
Essential for monitoring bot health, understanding user engagement, and identifying performance bottlenecks. Get usage statistics for a Poe bot
List available bots on Poe
Useful for discovering which AI models and specialized bots are available for chaining in your bot workflows. List publicly available bots on Poe that your bot can query
List bots on Poe
Returns bot names, handles, models, and status. Essential first step to identify which bot to work with before querying, updating, or checking stats. List all API bots under your Poe account
List messages on Poe
Useful for monitoring what users are asking, debugging bot responses, and analyzing conversation patterns. Returns message content, timestamps, and user identifiers. List recent messages for a specific Poe bot
Query bot on Poe
This allows chaining bot responses - your bot can query GPT-4, Claude, or any other bot on Poe and use the response as input. The cost is covered by the user's free message limit or subscription. Query another bot on Poe from your bot
Send message on Poe
Useful for testing endpoint connectivity and validating bot responses. The bot will process the message and return a response via its configured endpoint. Send a message to a Poe bot (simulate user interaction)
Update bot on Poe
Changes take effect immediately for new conversations. Update an existing Poe bot's configuration
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
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.
How does bot chaining work?
Using Poe API v2, your bot can query any other bot on Poe for free. The response becomes input for your bot's processing. Costs are covered by the user's free message limit or subscription.
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.
How Chatbots Interact with Poe
Integrate Poe to provide your custom AI agents with direct read and write access to the capabilities listed below.
chatbot development & AI Execution
The Poe MCP integration translates natural language prompts into structured chatbot development queries. This allows agents to fetch and update ai frontier records securely.
Claude Code Integration for llm orchestration
The Poe MCP manages API routing for llm orchestration. This enables AI agents like Claude Code to execute structured ai frontier queries.
Poe. 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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