Agent37
Host and monetize your Claude skills with shareable links, no setup required.
TL;DR
Agent37 is a managed hosting and monetization platform for Claude skills and Model Context Protocol (MCP) servers. It allows creators to transform technical AI configurations into shareable, monetizable URLs that users can access instantly without local setup or even a Claude account. Its key differentiator is the complete removal of DevOps friction for both the creator (hosting) and the consumer (trial/access).
What Users Actually Pay
No user-reported pricing yet.
Our Take
Agent37 occupies a strategic niche in the rapidly expanding 'Agentic AI' ecosystem by solving the distribution and monetization problem for the Model Context Protocol (MCP). While Anthropic's Claude Desktop provides the engine for skills, the manual installation process—involving JSON configurations and local environments—is a significant barrier to mainstream adoption. Agent37 bridges this 'last mile' gap by providing a cloud-based sandbox where these skills can live and be transacted like traditional SaaS. The platform's strength lies in its 'no-setup' philosophy, offering a managed environment with terminal and file access that is more robust than a simple prompt-hosting site. This makes it particularly attractive to prompt engineers and developers who have built complex tools (like 'Loki Mode') but lack a simple way to charge users. However, it is currently heavily anchored to the Claude ecosystem, which presents a platform-dependency risk if Anthropic decides to launch its own native 'Skill Store' similar to the GPT Store. Best suited for 'Skill Engineers' and consultants looking to turn their specialized AI workflows into a subscription business, and for power users who want to run advanced MCP-enabled agents (like OpenClaw or Hermes) without maintaining their own VPS or Docker containers.
Pros
- + Zero-friction deployment: Creators can go from an MCP config to a live, monetizable URL in roughly 60 seconds.
- + Built-in monetization: Integrated Stripe billing allows creators to keep 80% of revenue without building their own payment stack.
- + No-setup user experience: Customers can trial and use complex AI skills through a browser without installing local dependencies or CLI tools.
- + Developer-grade control: Managed instances provide full terminal shell access, visual file browsers, and live desktop monitoring.
- + Extensive integration library: Supports 850+ pre-connected apps via Composio, including Slack, Gmail, and Notion.
Cons
- - Ecosystem lock-in: The platform is currently focused almost exclusively on the Claude and MCP standards.
- - Revenue sharing: The 20% platform fee may be high for high-volume developers compared to self-hosting.
- - Privacy/Security concerns: Users must provide their own API keys for certain skills, which requires a high degree of trust in the platform's sandbox isolation.
- - Early-stage product: As a 2025 startup, long-term stability and feature parity with general-purpose cloud providers are still being proven.
Sentiment Analysis
Sentiment has remained stable since last capture. Sentiment is highly positive, specifically among the AI developer and 'AI builder' communities. The previous score of 0.75 has improved slightly to 0.8 following the successful launch of its marketplace and managed hosting tiers. Users consistently praise the platform for solving the technical overhead of MCP deployment, though some discussions remain around the sustainability of the 'Skills' market.
Sentiment Over Time
By Source
175 mentions
Sample quotes (2)
- "You're solving a problem that people like me probably wouldn't take the time to solve ourselves. Selling skills is usually a nightmare of local setup support."
- "I noticed 1,000+ MCP skills on GitHub with zero way for creators to charge... Agent37 solves the distribution gap."
650 mentions
Sample quotes (2)
- "Managed instance with terminal access and a workspace you can actually inspect. Live in ~60 seconds."
- "Cutting the VPS-to-running-agent setup from 105 minutes to 60 seconds removes the exact friction that kills side projects."
45 mentions
Sample quotes (2)
- "Agent37 is basically the 'Gumroad for Claude Skills'."
- "The managed OpenClaw hosting for $3.99 is a steal for testing autonomous agents without breaking the bank."
Agent Readiness
46/100Agent37 is highly 'agent-ready' as its core purpose is hosting Model Context Protocol (MCP) endpoints. While it may not offer a standard REST API to manage the platform itself, it functions as an API-as-a-Service provider where every 'Skill' is effectively an autonomous agent endpoint. Its integration with Composio grants immediate access to 850+ third-party tools, and the inclusion of full TTYD terminal access makes it an ideal environment for developers building and debugging autonomous agents in a cloud sandbox.
Last checked Apr 18, 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.
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Reviews
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