# GPUPerHour vs mcp.so

GPUPerHour records 28,718 monthly visits with +25.3% month-over-month growth and Free pricing. mcp.so records 286,704 monthly visits with -3% growth and Free pricing.

| Metric | [GPUPerHour](https://openaitools.app/tool/gpuperhour) | [mcp.so](https://openaitools.app/tool/mcp-server) |
| :--- | :--- | :--- |
| Website URL | https://gpuperhour.com | https://mcp.so |
| Categories | AI Developer Tools, AI Tools Directory | AI Tools Directory, Large Language Models (LLMs), AI Developer Tools |
| Pricing Model | Free | Free |
| Monthly Visits | 28,718 | 286,704 |
| MoM Growth Rate | +25.3% | -3% |
| Primary Market | United States | United States |
| Direct Visits | 11,398 | 107,648 |
| Review Score | 4.4 | 4.2 |
| Saved Count | 4 | 0 |
| Supported Platforms | Website | Website |

## GPUPerHour

GPUPerHour solves a narrow but expensive problem: cloud GPU pricing is scattered across dozens of provider dashboards, in different units and with different availability. The site periodically scrapes the public pricing and inventory endpoints of 31 cloud GPU providers, normalises each listing to a price per GPU per hour (dividing a multi-GPU instance price by its GPU count) and tags it with its pricing type and security tier. The current-price summary deliberately uses only secure on-demand offers observed within roughly 15 minutes of the last refresh, excluding spot, reserved and peer-to-peer marketplace listings because those prices are not directly comparable.

The result is a single live table covering H100 SXM5 and PCIe, H200, B200, B300, A100 80GB and 40GB, L40S, RTX PRO 6000, RTX 5090, RTX 4090 and RTX A6000, alongside the provider, a 30-day historical catalog average and the number of providers with stock. A daily price index with CSV downloads lets you track how pricing moves over time, while buying guides and hardware explainers cover practical topics such as comparing like-for-like GPUs, choosing by VRAM for a workload, accounting for storage and egress, and renting by the hour. The site also points to a companion console, DeployGPU, for provisioning on supported providers from one place.

The key caveat is stated openly on the page: offer counts describe configurations, not the number of physical GPUs bookable, and availability can change before you complete a booking. Prices are per GPU-hour but providers bill for the whole instance, and storage, network transfer and commitment terms affect the final bill. GPUPerHour is a research and comparison layer, not a hosting provider itself.

**Pricing & Plans:** Free to use as a price-comparison and research resource; GPUPerHour does not sell GPU capacity itself. The prices shown are third-party provider rates for secure on-demand instances, per GPU-hour, and a companion service (DeployGPU) offers deployment on supported providers.

- **31-provider live price table:** Every tracked offer is normalised to a price per GPU-hour and shown with its provider, pricing type and security tier.
- **Cheapest-offer summary:** A market snapshot highlights the lowest current secure on-demand price for each popular GPU model, from H100 and H200 to RTX 4090.
- **Daily price index and CSV:** Historical catalog averages and downloadable daily data let you see how pricing for a given GPU has moved over the last 30 days.
- **Buying guides and explainers:** Practical articles cover comparing like-for-like GPUs, choosing by VRAM, estimating the full bill with storage and egress, and renting by the hour.
- **DeployGPU console:** A linked console lets you deploy on supported providers from a single place once you have picked an offer.

**Strengths:** Aggregates 31 providers into comparable per-GPU-hour prices; Clearly states its methodology and excludes non-comparable spot and P2P listings; Free to use, with daily historical data and CSV downloads; Buying guides cover the full bill, not just the headline rate

**Limitations:** Only covers providers whose pricing and inventory endpoints are publicly scrapable; The current-price view deliberately excludes spot and reserved capacity, which are often cheaper; It is a comparison resource, so you still create accounts and provision instances with the provider itself

[Profile (Markdown)](https://openaitools.app/tool/gpuperhour.md)

## mcp.so

mcp.so organises the fast-growing Model Context Protocol ecosystem in one searchable place. You can browse servers by category (developer tools, AI and agents, cloud infrastructure, memory and knowledge, media and design), inspect remote endpoints, and read setup details before wiring a server into Claude, Cursor or another MCP-compatible client. Featured and trending sections surface popular or newly added servers, and rankings help you gauge what the community is adopting.

Beyond raw server listings, the site collects MCP clients (apps, IDEs and frameworks that speak the protocol), official CLI tools such as Bun, Cloudflare Wrangler, DuckDB and FFmpeg, reusable agent loops and skills, and curated collections. A feed tracks new arrivals, and submit/claim flows let maintainers add or take ownership of their own listings.

For anyone building with AI agents, mcp.so works as a discovery and reference layer: pick a capability, check how the server connects and authenticates, follow the setup guide, and keep an eye on what the community is installing each week. It is a directory, so it does not itself host or run the servers it lists.

**Pricing & Plans:** Free to browse and use the directory. Advertising, featured placement and claiming listings are handled through the site; no subscription is required for normal browsing.

- **Searchable MCP server directory:** Find servers by name, category, tag, runtime or integration, with featured, trending and newest sections that track community activity.
- **Remote endpoints and setup guides:** Review hosted MCP endpoints, authentication requirements and per-client setup instructions before you connect anything.
- **Clients, CLI tools and skills:** Discover MCP-compatible clients, official command-line tools, agent loops and reusable Claude/Codex skills in dedicated sections.
- **Submit and claim listings:** Maintainers can publish new servers and claim existing listings so entries stay accurate and attributable.
- **Categories, rankings and feed:** Browse top categories, compare curated selections and follow a live feed of newly added servers, tools and skills.

**Strengths:** Broad, regularly updated coverage of MCP servers and clients; Setup and authentication details gathered together in one place; Free to use with no account needed for browsing; Includes CLI tools, agent skills and curated collections beyond raw listings

**Limitations:** Listings are community-submitted, so quality and freshness can vary; It is a directory only, not a place to run or host MCP servers; Ad and featured placements can push less relevant results higher

[Profile (Markdown)](https://openaitools.app/tool/mcp-server.md)

## Frequently Asked Questions

### How do GPUPerHour and mcp.so compare in monthly traffic?

GPUPerHour has 28,718 monthly visits, while mcp.so has 286,704. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

GPUPerHour has a month-over-month growth rate of +25.3%; mcp.so has -3%.

### How does pricing compare?

GPUPerHour: Free. Free to use as a price-comparison and research resource; GPUPerHour does not sell GPU capacity itself. The prices shown are third-party provider rates for secure on-demand instances, per GPU-hour, and a companion service (DeployGPU) offers deployment on supported providers. mcp.so: Free. Free to browse and use the directory. Advertising, featured placement and claiming listings are handled through the site; no subscription is required for normal browsing.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Dang.ai](https://openaitools.app/tool/dang-ai) | 552,907 | +17.5% | Free | Curated directory and search engine cataloging thousands of general AI products rather than MCP developer integrations. | [.md](https://openaitools.app/tool/dang-ai.md) |
| 2 | [Futurepedia](https://openaitools.app/tool/futurepedia-find-the-best-ai-tools-software) | 527,719 | +22.5% | Free | Massive general AI tools directory, offering broader software discovery but less focus on specific MCP servers. | [.md](https://openaitools.app/tool/futurepedia-find-the-best-ai-tools-software.md) |
| 3 | [SkillsMP — Agent Skills Marketplace](https://openaitools.app/tool/agent-skills-marketplace) | 470,744 | -3.7% | Free | Independent public directory indexing open-source agent skill files and MCP integrations for AI developers. | [.md](https://openaitools.app/tool/agent-skills-marketplace.md) |
| 4 | [Stork](https://openaitools.app/tool/stork) | 201,544 | +2.3% | Free | Developer-focused AI tools directory and pricing tracker, though less dedicated to community-contributed MCP server lists. | [.md](https://openaitools.app/tool/stork.md) |
| 5 | [Models.dev](https://openaitools.app/tool/models-dev) | 200,451 | -3.9% | Free | Open-source database of AI models, prices and capabilities | [.md](https://openaitools.app/tool/models-dev.md) |
| 6 | [AI Agent Store](https://openaitools.app/tool/ai-agent-store) | 169,388 | -5.4% | Freemium, Free Trial, Paid | Marketplace connecting users with ready-made AI agents and starter kits, but with fewer raw developer MCP tools. | [.md](https://openaitools.app/tool/ai-agent-store.md) |
| 7 | [Cursor Directory](https://openaitools.app/tool/cursor-directory) | 125,466 | +5.3% | Free | Community hub focused specifically on discovering and installing MCP servers and plugins for the Cursor IDE. | [.md](https://openaitools.app/tool/cursor-directory.md) |
| 8 | [Easy With AI](https://openaitools.app/tool/easywithai-com) | 119,734 | -2.7% | Freemium, Free Trial, Free | A hand-curated directory for discovering AI tools and resources | [.md](https://openaitools.app/tool/easywithai-com.md) |
| 9 | [ToolCenter](https://openaitools.app/tool/toolcenter) | 66,647 | +3.2% | Free | Curated online directory cataloging productivity and AI software, lacking specialized categorization for MCP protocol servers. | [.md](https://openaitools.app/tool/toolcenter.md) |
| 10 | [AI Top100 (AITOP100)](https://openaitools.app/tool/ai-top100) | 51,606 | -22.7% | Free | Chinese AI tools directory plus AIGC contests, courses and news | [.md](https://openaitools.app/tool/ai-top100.md) |

---
Source: https://openaitools.app/compare/gpuperhour-vs-mcp-server

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
