Poe
Integrations
- OpenAI (GPT-5.2)
- Anthropic (Claude 4.5)
- Google Gemini 3
- Model Context Protocol (MCP)
- GitHub
- Azure AI Foundry (via MCP)
Pricing Details
- Point-based system with 1M+ points for Plus ($20/mo).
- Enterprise tier offers flat-rate per-user pricing with Zero Data Retention and administrative controls.
Features
- Poe Previews (Real-time React/HTML execution)
- Model Context Protocol (MCP) native support
- Unified Multi-Agent Swarms (Bot-calling-Bot)
- GPT-5.2 & Claude 4.5 frontier model access
- Zero Data Retention (ZDR) for Enterprise tenants
Description
Poe 2026: Agentic Runtime & Multi-Model Architecture
As of January 2026, Poe has transitioned from a simple model aggregator to a Stateful Agent Hub. The architecture leverages the Model Context Protocol (MCP), allowing bots to establish secure, bi-directional connections with external enterprise data sources and local developer tools 📑.
Orchestration & Sandboxed Execution
The core of the platform is the Previews Engine, which provides an isolated iframe environment for agents to build and run interactive software components (React, Tailwind, Python) 📑.
- Model Context Protocol (MCP): Standardizes RAG workflows by enabling 'Context Servers'. This eliminates proprietary database connectors and allows for plug-and-play integration with tools like GitHub, Jira, and PostgreSQL 📑.
- Dynamic Compute Budgeting: The 2026 update introduced granular 'Points-per-Task' reporting, providing transparency into how model reasoning and long-context management impact the monthly point quota 📑.
- Session Persistence: Managed via a proprietary vector-state layer that synchronizes agent memory across desktop, mobile, and API endpoints, maintaining coherence in multi-day reasoning tasks 🧠.
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Poe for Enterprise & Data Sovereignty
Launched in late 2025, the Enterprise tier introduces Zero Data Retention (ZDR) for high-compliance industries, ensuring that prompts are not used for downstream model training by third-party providers 📑.
- Sovereign Compute: Allows organizations to route sensitive queries exclusively through EU or US-based inference nodes, adhering to 2026 data residency regulations 📑.
- Audit Logging: Centralized governance dashboard in Poe Enterprise tracks every agentic action and MCP tool call for forensic integrity 📑.
Evaluation Guidance
Technical architects should prioritize the Claude 4.5 engine for complex architectural refactoring within Previews. Verify the MCP Server latency to ensure real-time data retrieval doesn't bottleneck agentic reasoning. Organizations must audit custom bot 'System Prompts' to prevent prompt injection attacks that could bypass local MCP security guardrails 📑.
Tool Pros and Cons
Pros
- Multiple leading models
- Easy app development
- User-friendly interface
- No-code app builder
- Centralized AI access
Cons
- Third-party dependency
- Potential cost increases
- Limited customization