Open-source framework and cloud for building, deploying and testing MCP servers
Estimated monthly website visits
Similarweb estimates for this domain, not active users. Only available observation months are shown; collection date is separate from the traffic period.
Collected Nov 11, 2026
This is our editors' assessment out of 5, not an average of user ratings. The viewpoints on this page are written by AI from what we know about the product. They are not customer reviews.
According to OpenAITools.app telemetry verified on 2026-11-11, mcp-use (mcp-use.com) is an AI platform indexed under AI Developer Tools generating 5.75K monthly visits with a month-over-month traffic delta of -172 (-2.9%). Its primary geographic market is United States (69.3% traffic share), and it operates on a Contact for Pricing pricing model. Top competing alternatives by monthly volume include Browser Use (1.21M visits/mo), API Hub (1.4K visits/mo), RunPod (2.88M visits/mo).
Browser Inspector made debugging MCP tools so smooth.
SDK docs could be slightly clearer on edge cases.
Commercial cloud feels a bit pushy.
Awesome MCP toolkit!
AI-synthesized perspectives grounded in live site inspection, pricing structure, and category benchmarks — presented as editorial viewpoints rather than individual customer testimonials.
Build MCP servers and apps in either language with a single-command scaffold, plus an installable skill for coding agents.
Connect to an MCP server, browse its tools and inspect raw requests and responses without writing client code.
Call MCP servers from the terminal and expose a local server through a secure tunnel for remote clients and testers.
Start from production-shaped MCP framework templates instead of assembling transport, auth and session handling yourself.
Optional hosting with branch previews, custom domains, cross-client test harnesses, store publishing checks and usage analytics.
mcp-use began as an open-source framework for developers who wanted a faster way to build and debug MCP servers. At its core are an SDK available for TypeScript and Python, a browser-based Inspector for exploring a server's tools and responses, a terminal client CLI, and a set of deploy-ready templates. You can scaffold a server in a single command, run it locally, and point an AI client at it, or use templates to start from a production-shaped project. The code is MIT-licensed, self-hostable, and has passed ten million downloads across both language packages.
The website mcp-use.com now redirects to Manufact Cloud, the commercial platform created by the same team. Manufact positions itself as the cloud for production MCP: it hosts MCP servers and apps, provides branch previews and custom domains, runs the same test harness across ChatGPT, Claude and coding-agent clients, and checks a server against ChatGPT Apps Store and Cloud Connectors publishing requirements. It also offers a Cloud Inspector that traces and replays MCP traffic in production.
Together the two halves form a build-and-operate path. Teams that only need the framework can install the SDK and Inspector and run everything themselves; teams that need hosting, release verification and analytics can move the same server onto Manufact Cloud. The open-source tools remain the on-ramp, and the cloud is where the team's commercial offering sits.
Use the SDK and templates to expose your SaaS or internal API as MCP tools that ChatGPT, Claude and coding agents can call.
Run the Inspector against a server to verify tool schemas, trace failing calls and inspect the raw protocol traffic.
Adopt one framework for all internal MCP servers, then apply the same deployment, testing and compliance pipeline to each.
Run store publishing checks, generate submission assets and confirm behaviour across clients before submitting an app.
Side-by-side telemetry comparison of competing AI tools in the same primary category
| Rank | AI Tool | Monthly Visits | MoM Growth | Direct traffic share | Pricing | Head-to-Head |
|---|---|---|---|---|---|---|
| ● | mcp-use | 5.75K | -2.9% | 40% direct | Contact for Pricing | Current |
| 1 | Browser Use | 1.21M | +41.1% | 52% direct | Freemium, Paid, Contact for Pricing | vs Browser Use |
| 2 | API Hub | 1.4K | -0.9% | 39% direct | Freemium | vs API Hub |
| 3 | RunPod | 2.88M | +5.9% | 57% direct | Paid | vs RunPod |
| 4 | Modal | 1.2M | +30.2% | 71% direct | Freemium, Contact for Pricing | vs Modal |
| 5 | Lightning AI | 272.56K | -12.3% | 52% direct | Freemium, Paid, Contact for Pricing | vs Lightning AI |
| 6 | Composio | 2.78M | +22.8% | 45% direct | Freemium, Contact for Pricing | vs Composio |
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