What is Mcp-use?
For developers building sophisticated AI agents, being locked into a single platform or a closed ecosystem can severely limit flexibility and control. mcp-use is a powerful, open-source Python library that solves this problem by providing a universal bridge to connect any LLM with any tool-enabled MCP (Model-Controlled Proxy) server. It empowers you to build custom, capable, and production-ready agents with complete control over your technology stack.
Key Features
🌐 Universal LLM & Server Compatibility Connect any tool-calling LLM supported by LangChain (including models from OpenAI, Anthropic, Groq, and open-weight models like Llama) to any MCP server. This vendor-agnostic approach ensures you can always use the best model and tools for the job, freeing you from platform lock-in.
⚙️ Advanced Multi-Server Management Utilize tools from multiple MCP servers simultaneously within a single agent. For maximum efficiency, you can enable the dynamic Server Manager, which intelligently selects and connects to the appropriate server for each specific task, reducing overhead and simplifying complex workflows.
🛡️ Secure and Controlled Execution Maintain full control over your agent's capabilities. You can explicitly restrict access to potentially sensitive tools like file system or network operations. For even greater security and ease of use, mcp-use supports sandboxed execution via E2B, allowing you to run servers in an isolated cloud environment without managing local dependencies.
⚡ Real-Time Streaming Output Build highly responsive and interactive applications with built-in asynchronous streaming. The astream method delivers incremental results, tool actions, and intermediate steps as they happen, perfect for creating real-time UIs, chatbots, and detailed progress logs.
🧩 Effortless Integration & Customization Get started in minutes—it takes as few as six lines of code to create your first MCP-capable agent. Use simple configuration files to manage server setups and leverage the LangChain adapter to build fully custom agent logic tailored to your exact needs.
Use Cases
mcp-use enables you to build agents that perform complex, multi-step tasks by combining different tools.
Automated Web Research and Data Extraction Create an agent that uses a Playwright server to browse websites, extract specific information (like product prices or news articles), and then uses a filesystem server to save the findings into a structured file—all in a single, automated run.
Complex API and Service Integration Build a travel planning agent that connects to an Airbnb server to find accommodations, then dynamically switches to a web browsing server to research nearby restaurants and attractions for the top results, presenting a complete itinerary.
Creative and Technical Tool Automation Instruct an agent to perform tasks in specialized software. For example, connect to a Blender MCP server and use natural language to generate 3D models (e.g., "Create an inflatable cube with a soft material and a plane as ground"), automating complex creative or technical workflows.
Why Choose mcp-use?
True Open-Source Freedom: Unlike proprietary solutions that constrain your choices, mcp-use is fundamentally open and flexible. You have the freedom to combine any supported LLM with any MCP server, ensuring your projects are adaptable and future-proof.
Designed for Production: With features like fine-grained tool access control, dynamic server management for scalability, and sandboxed execution for security, mcp-use provides the robust foundation needed to move your agents from prototype to production with confidence.
Conclusion:
mcp-use is the definitive open-source toolkit for developers who need to build powerful, tool-enabled LLM agents without compromise. It provides the flexibility, security, and advanced features required to automate complex tasks and create truly intelligent applications.
More information on Mcp-use
Launched
2025-03
Pricing Model
Free
Starting Price
Global Rank
1259874
Follow
Month Visit
21.3K
Tech used
Top 5 Countries
69.46%
7.84%
7.57%
5.86%
1.59%
United States
Taiwan
India
Thailand
Korea, Republic of
Traffic Sources
0.92%
0.49%
0.04%
28.49%
3.87%
66.17%
social
paidReferrals
mail
referrals
search
direct
Source: Similarweb (Sep 25, 2025)
Mcp-use was manually vetted by our editorial team and was first featured on 2025-08-02.
Related Searches
Mcp-use Alternatives
Load more Alternatives-
-
Supercharge your AI! Find MCP servers for Claude & more at mcp.so. Unlock data & tools. Explore the best MCP server directory now.
-
Windows-MCP: Open-source bridge for AI agents to natively control Windows. Empower LLMs to interact directly with desktop UI for powerful automation.
-
-
