Agent37
Unclaimed verified 24 aug 2026Host and monetize your Claude skills with shareable links, no setup required.
TL;DR
Agent37 is a hosting and monetization platform for Claude Skills and Model Context Protocol (MCP) configurations. It allows developers to transform AI capabilities into shareable, subscription-based links that end-users can access instantly without a Claude account or local setup. Its key differentiator is the integrated Stripe monetization layer combined with managed serverless infrastructure for Claude-specific tools.
What Users Actually Pay
No user-reported pricing yet.
Our Take
Agent37 occupies a strategic niche within the rapidly expanding Anthropic ecosystem by solving the distribution and monetization gap for Claude-centric developers. While the GPT Store has a larger user base, Agent37 offers a more robust path for power users who require the advanced capabilities of MCP but want to avoid the 'technical debt' of hosting their own servers. Its architecture, which provides isolated containers for every user, addresses major privacy concerns that often plague multi-tenant AI applications. The platform's strength lies in its abstraction of DevOps; features like 'Public Ports' for webhooks and 'Starter Kits' for white-labeling allow agencies to productize AI services in days rather than months. However, the platform is heavily dependent on Anthropic's continued support of the MCP standard, representing a significant platform risk if API structures or pricing change unexpectedly. Agent37 is best suited for independent developers, AI agencies, and subject matter experts who have developed proprietary 'skills' or prompts and want to monetize them via a professional, brandable interface. It is less ideal for enterprise-scale deployments requiring deep on-premise data residency or custom LLM backends outside of the supported providers.
Alternatives
Ranked by Revuo score — paid tiers never affect order.
Pros
- + Zero friction for end-users: Access high-powered Claude tools via a simple URL without technical installation.
- + Turnkey Monetization: Built-in Stripe integration with an 80/20 revenue split favoriting the creator.
- + High Security & Isolation: Each user deployment runs in an isolated container, preventing data leakage between clients.
- + Agency-Ready: Offers a white-label 'Starter Kit' that can be forked and rebranded to launch independent AI SaaS products.
- + Massive Tooling Ecosystem: Integration with Composio provides immediate access to 850+ apps like Notion, Gmail, and GitHub.
Cons
- - Platform Dependency: Business continuity is tied to Anthropic's Claude API and the stability of the MCP standard.
- - Prepaid Pricing Complexity: The metered, prepaid balance model may be confusing for hobbyists or low-volume users.
- - Technical Learning Curve: While easy for end-users, creators still need a foundational understanding of MCP and JSON-based tool definitions.
- - Limited Custom UI: The standard shareable links are primarily chat-based, which may not suit complex data-visual heavy tools.
Agent Readiness
49/100Agent37 is highly agent-ready, specifically designed to host and provide API access to Claude-based autonomous agents. It provides a clean REST API (api.agent37.com) and a unique 'llms-full.txt' file designed for AI agents to ingest the entire API documentation at once. While it lacks native Zapier/Make modules, it offers 'Public Ports' for unauthenticated webhook URLs and integrates deeply with Composio for multi-app tool execution.
Last checked Jul 14, 2026
Screenshot
[ features ]
Prompt Management
Editing and tracking of LLM prompts
Allows to version prompts and track / compare different variants over time
Compliance & Security
Security certifications, compliance features, and access control capabilities.
SOC 2 Type I or Type II certification.
ISO 27001 information security certification.
Built-in tools for GDPR compliance (data export, deletion, consent).
Complete audit log of all data changes.
Granular permissions based on user roles.
Single Sign-On integration support.
AI Engine Coverage
Coverage and support for various AI models, LLMs, and search engines.
List of AI models and LLMs supported for tracking (e.g., ChatGPT, Gemini).
How often metrics are updated (e.g., real-time, daily).
Support for tracking in multiple countries or regions.
Orchestration Capabilities
Core features for coordinating and executing AI agent workflows.
Supports orchestration of multiple collaborating agents.
Maintains agent state and memory across interactions.
Automatically routes requests across multiple LLM providers.
Supports agents calling external tools or functions.
Deployment & Scalability
Deployment models and scalability features for production use.
Primary way to deploy and run the orchestration.
Supports multiple teams or users from single deployment.
Automatic scaling for high-load agent workflows.
Compatible with serverless/serverless-like deployments.
Observability & Monitoring
Tools for tracking performance, costs, and debugging agent runs.
Monitors and budgets LLM usage costs per run.
Detailed traces of agent steps and decisions.
Visual graphs or dashboards of agent flows.
Metrics like latency, throughput for agent executions.
Developer Experience
Tools and abstractions easing agent development and iteration.
No-code/low-code UI for designing agent workflows.
OpenAI API-compatible endpoints or SDKs.
Available as open-source with community contributions.
Programming languages with official SDK support.
Compare With
Reviews
No reviews yet. Be the first to review Agent37!