mcp-use
★ 10.8k
vs
agent
★ 1.8k
mcp-use vs agent
mcp-use: mcp-use is a full-stack framework for Model Context Protocol (MCP), enabling the creation of MCP servers, clients, and AI agents. It supports development in both Python and TypeScript with minimal code.; agent: Stakpak is a secure, open-source AI agent designed for DevOps, allowing developers to deploy and run infrastructure directly from the terminal. It provides robust security features like secret substitution and network-level guardrails, ensuring AI interactions with production environments are safe and controlled.
01
TL;DR
mcp-useDev Tooling · ★ 10.8k
Building intelligent AI agents capable of using tools and reasoning across steps
agentDev Tooling · ★ 1.8k
When to choose:
- You want a terminal agent for infrastructure work: infrastructure code, Kubernetes debugging, CI/CD and deployments.
- You want the model to use credentials without seeing them: secret substitution and a privacy mode that redacts IPs and account IDs.
- You want network-level guardrails that block destructive operations before they run.
When to skip:
- You need clear reuse terms: our data notes that GitHub does not detect a licence, so check before reuse.
- Your sessions must not go through a third party: using a Stakpak API key routes them through their service; bring your own keys instead.
- You need an actively updated tool: our data shows the last push on 2026-07-06.
02
Side-by-Side Comparison
03
Features
mcp-use01AI agents with tool access and multi-step reasoning
02Direct connection to any MCP server
03Build custom MCP servers
04Web-based debugging tool for MCP servers
05Interactive UI widget development for ChatGPT apps
agent01Secret Substitution: The LLM works with your credentials without ever seeing them.
02Warden Guardrails: Network-level policies block destructive operations before they run.
03DevOps Playbooks & Rulebooks: Curated library of DevOps knowledge and customizable agent behavior.
04Infrastructure Code Indexing: Automatic local indexing and semantic search for various infrastructure code.
05Asynchronous Task Management & Real-time Progress Streaming: Manage background commands and get real-time progress updates.
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Use Cases
mcp-use↳Building intelligent AI agents capable of using tools and reasoning across steps
↳Programmatically interacting with MCP servers and calling tools directly
↳Creating custom MCP servers with defined tools, resources, and prompts
agent↳Generating infrastructure code (Terraform, Kubernetes, Dockerfile).
↳Debugging Kubernetes and configuring CI/CD pipelines.
↳Automating secure and controlled infrastructure deployments.
05
Best For
mcp-useMost PopularTrending
agent—
FAQ
FAQ
What is the difference between mcp-use and agent?
Both mcp-use and agent are in the Dev Tooling category. mcp-use has 10.8k stars, while agent has 1.8k stars.
Which is better, mcp-use or agent?
The best choice depends on your use case. Choose mcp-use if Building intelligent AI agents capable of using tools and reasoning across steps, and agent if Generating infrastructure code (Terraform, Kubernetes, Dockerfile)..
Is mcp-use free or open source?
Yes, mcp-use is open source on GitHub (MIT).
Is agent free or open source?
Yes, agent is open source on GitHub (Apache-2.0).
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