# mcp-use

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).

Open-source framework and cloud for building, deploying and testing MCP servers

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | mcp-use |
| Handle | mcp-use |
| Status | active |
| Origin | open_source |
| Maintenance | active |
| Official Domain | mcp-use.com |
| Website URL | https://mcp-use.com |
| Categories | AI Developer Tools, AI API, AI Agent, Large Language Models (LLMs) |
| Pricing Model | Contact for Pricing |
| Monthly Visits | 5,746 |
| MoM Traffic Change | -172 |
| MoM Growth Rate | -2.9% |
| Primary Market | United States |
| Market Share | 69.3% |
| Direct Visits | 2,280 |
| Organic Search Visits | — |
| Social Visits | — |
| Referral Visits | 591 |
| Email Visits | 188 |
| Review Score | 4.3 |
| Saved Count | 0 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Pricing: Contact for Pricing; Features: Website |
| Tags | AI Agents, Developer Tools, Cloud Infrastructure, Open Source, LLM, API Integration, MCP Servers, AI Development, Agent Framework, Model Context Protocol, DevOps, Backend Development |

## Overview

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.

## Pricing & Plans

The open-source mcp-use SDK, Inspector and CLI are free under the MIT licence and can be self-hosted. Manufact Cloud, the companion commercial platform, is priced on request — the website offers a free start and a "book a demo" path for teams and enterprise, without publishing public per-seat rates.

## Key Features & Capabilities

- **TypeScript and Python SDK:** Build MCP servers and apps in either language with a single-command scaffold, plus an installable skill for coding agents.
- **Browser-based Inspector:** Connect to an MCP server, browse its tools and inspect raw requests and responses without writing client code.
- **Client CLI and tunneling:** Call MCP servers from the terminal and expose a local server through a secure tunnel for remote clients and testers.
- **Deploy-ready templates:** Start from production-shaped MCP framework templates instead of assembling transport, auth and session handling yourself.
- **Managed Cloud for production:** Optional hosting with branch previews, custom domains, cross-client test harnesses, store publishing checks and usage analytics.

## Primary Use Cases

- **Ship an MCP server for an existing product (AI application developer):** Use the SDK and templates to expose your SaaS or internal API as MCP tools that ChatGPT, Claude and coding agents can call.
- **Debug and inspect MCP integrations (Backend engineer):** Run the Inspector against a server to verify tool schemas, trace failing calls and inspect the raw protocol traffic.
- **Standardise MCP across an organisation (Platform team):** Adopt one framework for all internal MCP servers, then apply the same deployment, testing and compliance pipeline to each.
- **Publish to ChatGPT and Claude stores (Product team entering AI marketplaces):** Run store publishing checks, generate submission assets and confirm behaviour across clients before submitting an app.

## Strengths

- Genuinely open source under MIT with both TypeScript and Python packages
- Clear developer tooling: SDK, browser Inspector, CLI and templates in one ecosystem
- Backed by an active team with a commercial cloud for production hosting and analytics
- Strong adoption signals — millions of downloads and thousands of GitHub stars

## Limitations

- The mcp-use.com domain now redirects to Manufact Cloud, which can be confusing if you expected a standalone site
- Managed cloud pricing is not published, so budgeting requires a sales conversation
- The tooling assumes familiarity with the Model Context Protocol and LLM client configuration

## Frequently Asked Questions

### Is mcp-use free to use?
The core framework — the TypeScript and Python SDK, the browser Inspector, the CLI and the templates — is open source under the MIT licence and can be self-hosted. The companion Manufact Cloud platform is a paid commercial service priced on request.

### Why does mcp-use.com redirect to Manufact?
Manufact Cloud is built by the same team that maintains mcp-use. The project's commercial cloud now hosts the marketing site, while the open-source SDK, Inspector and CLI continue to be documented and distributed from the same organisation.

### Which languages does the SDK support?
The mcp-use SDK ships for TypeScript and Python, with downloads counted across both packages. Both are documented from the same docs site.

### Can I self-host the whole stack?
Yes. The open-source components can be run on your own infrastructure. For teams that prefer managed hosting, cross-client testing and analytics, the cloud platform provides those as a service.

### What is mcp-use's monthly traffic and growth trend?
mcp-use currently receives 5.75K monthly visits, with a month-over-month traffic change of -172 (-2.9% growth rate). Its primary source market is United States (69.3% share), including 2.28K direct visits/mo and — organic search visits/mo.

### Is mcp-use free? What is its pricing model?
mcp-use operates on a Contact for Pricing pricing model. The open-source mcp-use SDK, Inspector and CLI are free under the MIT licence and can be self-hosted. Manufact Cloud, the companion commercial platform, is priced on request — the website offers a free start and a "book a demo" path for teams and enterprise, without publishing public per-seat rates. Supported billing and checkout platforms include: not listed.

### What are the best mcp-use alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to mcp-use are: 1. Browser Use (1.21M visits/mo); 2. API Hub (1.4K visits/mo); 3. RunPod (2.88M visits/mo); 4. Modal (1.2M visits/mo); 5. Lightning AI (272.56K visits/mo).

### Which platforms and core AI capabilities does mcp-use support?
mcp-use is classified under AI Developer Tools, AI API, AI Agent, Large Language Models (LLMs), supports the following platforms: Website, and its core capability tags include: AI Agents, Developer Tools, Cloud Infrastructure, Open Source, LLM, API Integration.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [Browser Use](https://openaitools.app/tool/browser-use) | 1,206,376 | Freemium, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/browser-use-vs-mcp-use) |
| [API Hub](https://openaitools.app/tool/api-hub) | 1,399 | Freemium | [Compare](https://openaitools.app/compare/api-hub-vs-mcp-use) |
| [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | Paid | [Compare](https://openaitools.app/compare/mcp-use-vs-runpod) |
| [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/mcp-use-vs-modal-com) |
| [Lightning AI](https://openaitools.app/tool/lightning-ai) | 272,562 | Freemium, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/lightning-ai-vs-mcp-use) |
| [Composio](https://openaitools.app/tool/composio) | 2,782,603 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/composio-vs-mcp-use) |
| [Higress](https://openaitools.app/tool/higress) | 13,318 | Contact for Pricing | [Compare](https://openaitools.app/compare/higress-vs-mcp-use) |
| [Nebius](https://openaitools.app/tool/nebius) | 1,145,711 | Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/mcp-use-vs-nebius) |
| [boat](https://openaitools.app/tool/boat) | 66,870 | Free Trial, Paid | [Compare](https://openaitools.app/compare/boat-vs-mcp-use) |
| [Agent 37](https://openaitools.app/tool/agent-37) | 180,030 | Free Trial, Contact for Pricing | [Compare](https://openaitools.app/compare/agent-37-vs-mcp-use) |
| [FlexAI](https://openaitools.app/tool/flexai) | 44,314 | Freemium, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/flexai-vs-mcp-use) |
| [Modelence](https://openaitools.app/tool/modelence) | 31,915 | Freemium, Paid | [Compare](https://openaitools.app/compare/mcp-use-vs-modelence) |

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Source: https://openaitools.app/tool/mcp-use