Agent37
Host and monetize your Claude skills with shareable links, no setup required.
TL;DR
Agent37 is a specialized hosting and monetization platform that converts Claude skills and MCP configurations into shareable, link-based products. It is designed for AI creators and consultants who want to sell custom AI workflows to clients without requiring them to have a Claude account or any technical setup knowledge.
What Users Actually Pay
No user-reported pricing yet.
Our Take
Agent37 occupies a unique position as the distribution layer for the burgeoning Claude Model Context Protocol (MCP) ecosystem. While many platforms focus on the raw infrastructure of running AI agents, Agent37 functions more like a 'Gumroad for AI,' bridging the gap between a developer's local script and a customer-ready product. By abstracting away the server management and API configurations, it allows creators to focus entirely on the logic of their skills rather than the DevOps of deployment. The platform's most significant value proposition is the elimination of the 'end-user barrier.' Traditionally, for a client to use a custom Claude skill, they would need a paid Anthropic subscription and the technical ability to install local dependencies. Agent37 removes this friction, allowing a creator to send a URL where the client can interact with the agent immediately. This makes it an ideal choice for consultants selling 'AI-as-a-Service' packages to non-technical business clients. However, there are trade-offs to consider regarding platform lock-in and cost. Creators are heavily dependent on the Claude ecosystem and Agent37’s specific infrastructure; should Anthropic change its terms or Agent37 face downtime, the creator’s product is directly impacted. Furthermore, the 20% platform fee, while inclusive of payment processing and hosting, may become a point of contention for high-volume creators who could potentially build a custom wrapper for a lower overhead. Ultimately, Agent37 is best suited for independent developers, specialized coaches, and small agencies that have developed high-value AI workflows and want the fastest possible path to monetization. It is the go-to solution for anyone looking to prove market demand for an AI skill without the time-consuming process of building a custom web application from scratch.
Pros
- + Zero-friction user experience: Clients can use advanced Claude skills instantly without needing a Claude account or local software installation.
- + Integrated monetization: Built-in Stripe support handles subscriptions, usage tracking, and automated 80/20 payouts out of the box.
- + Automated MCP hosting: Eliminates the need for creators to manage their own servers, Docker containers, or complex environment variables.
- + Extensive connectivity: Leveraging Composio allows skills to connect with over 850+ apps (Slack, Notion, GitHub, etc.) by default.
Cons
- - High platform commission: The 20% cut of revenue may be steep for established creators compared to building a custom hosting solution.
- - Claude ecosystem dependency: The service is currently limited to the Anthropic/Claude ecosystem, limiting its use for creators using other LLM models.
- - Early-stage risk: As a platform founded in 2025, it lacks the long-term track record of established SaaS hosting providers.
- - UI limitations: Currently offers limited customization for the branding and user interface of the skill landing pages.
Sentiment Analysis
Sentiment has improved since last capture. Agent37, a new platform for managed OpenClaw hosting and Claude AI skill monetization, receives mostly positive mentions on Reddit and X (Twitter). Key themes include affordability ($3.99/mo), ease of use (1-click deploy, no setup), developer responsiveness, and utility for AI agents/skills marketplace. No reviews found on G2, Capterra, or TrustRadius, likely due to the product's recency (launched ~2026). Overall sentiment improved from previous 0.50, reflecting growing positive user experiences and revenue traction (e.g., $4K+ MRR reported).
Sentiment Over Time
By Source
25 mentions
Sample quotes (3)
- ""Agent37 is pretty great at $3.99 for 2vCPU(shared) and 4GB RAM. It's also by far the easiest with 1 click bot instance""
- ""I use Agent37, it's been working well the dev is great and does ...""
- ""I built Agent37 (agent37.com) - upload your Claude skills + Connect Apps (for MCP), get a shareable link.""
10 mentions
Sample quotes (3)
- "Day 390 of building agent37.com. After my startup failed, I interviewed at a FAANG Got the offer: $450K+ total comp."
- "I just cracked the hosting math. $3.99/mo for a full OpenClaw container."
- "Day 399 of building agent37.com. I researched co-founder success rates."
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
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