NitroStudio v1.4.4 is now available.

The IDE That Understands MCP

Stop guessing what your MCP server is doing. Visual inspector, AI chat with tool calling, Ops Canvas, voice mode—start seeing it.

Studio
Features

Everything You Need to Build MCP

From API-to-MCP generation to visual debugging , every tool built for developers who ship production MCP servers.

Generate MCP Apps

Turn any REST API into a fully scaffolded MCP server. Paste a Swagger/OpenAPI URL or drop a Postman Collection , AI detects endpoints and generates typesafe MCP tools automatically.

Swagger / OpenAPI, Enter a URL, get a complete MCP project
Postman Import, Drag-drop Collection JSON (v2.0 / v2.1)
AI Tool Generation, Typesafe tools with auto-detected schemas
Instant Scaffold, Full NitroStack project, ready to run
GET /users
listUsers
POST /auth
authenticate
PUT /data
updateRecord
auto-detect
typesafe
scaffold

MCP Inspector

Browse every tool, resource, prompt, and task your server exposes. Schema visualization, form-based execution, and widget preview , test your entire stack without writing a single test.

Schemabrowse
tools
12
resources
4
prompts
8
ToolsResourcesPromptsTasksCanvas

Marketplace

One-click connect to pre-built MCP servers for GitHub, Figma, Linear, Jira, Supabase, Vercel, and more.

MCP
GitHub
Figma
Linear
1-ClickPre-builtVerified

AI Chat

Conversational AI that invokes your MCP tools in real time. Streaming responses, multi-turn context, and automatic token optimization.

assistant
tool: fetch_data
Gemini
OpenAI
Streaming

Ops Canvas

Visual React Flow graph of every AI decision , which tools, what order, how long. Per-turn token usage, latency metrics, and fullscreen debugging.

AI
tool
search
resource
query
prompt
notify

Test Cases

AI Generator

Define scenarios with expected tool calls and arguments. AI auto-generates test suites from tool schemas. Run all, track pass/fail, inspect results , your MCP CI.

auth.login
pass
tools.list
pass
data.fetch
run
PassFailRun All

Voice Mode

Full speech-to-text and ElevenLabs text-to-speech in 7 languages. Hands-free MCP development with a voice orb UI.

Widget System

Custom UI components rendered from tool outputs inside isolated iframes. Widget gallery with live preview and fullscreen expansion.

Gallerylive
telemetry
data
geo
iframe
fullscreen
preview

Skills

Markdown-based instruction sets that guide AI through multi-step, multi-tool workflows with enforced ordering.

Workflowordered
step 1
Detect
step 2
Plan
step 3
Execute
markdown
multi-step
enforced

Multi-Project Tabs

Connect to multiple MCP servers simultaneously. Independent sessions, project switcher, and "All" mode aggregate tools across your entire stack.

Sessionsmulti
ALL
Proj A
4 tools
Proj B
7 tools
All
14 total
tabs
switcher
aggregate

Authentication

Full OAuth 2.1 with PKCE, dynamic client registration, JWT tokens, and API key support. Desktop deep linking for seamless flows.

Securitycompliant
OAuth 2.1
PKCE
JWT
token
API Key
guard
Deep Link
desktop

Real-Time Logs & Health

SSE-based live log streaming with level filtering, auto-scroll, and export. Health checks with auto-refresh and ping testing.

Logslive
12:00[INFO]server.start()
12:01[WARN]retry attempt 2
12:02[OK]tools.registered()
12:03[PING]health: OK , 12ms
12ms
latency
100%
uptime
Why NitroStudio

Why Developers Love NitroStudio

The debugging experience you wished existed for MCP. Every feature designed to save you time and give you clarity.

  • See Everything, Write Nothing

    Browse every MCP tool, resource, prompt, and task your server exposes. Schema visualization, form-based execution, widget preview—test your entire stack without writing a single test.

  • Debug Multiple Servers at Once

    Tabs, project switcher, and "All" mode let you connect to multiple MCP servers simultaneously. Independent sessions mean you debug, compare, and switch without losing context.

  • Watch AI Reason, Step by Step

    Ops Canvas gives you a visual graph of every AI decision. Which tools were called, in what order, how long each took. The debugging experience you wished existed.

  • Talk to Your MCP Server

    Voice-first mode with speech-to-text and ElevenLabs TTS in seven languages. Hands-free development for accessibility, rapid testing, or when your keyboard is buried under coffee cups.

Trusted by Developers and Enterprise Teams

Teams building and deploying production MCP applications at scale with NitroStack.

Dhaval Sharma

"Nitrostack distills complex AI infrastructure into intuitive, programmable artifacts. It has allowed our team, even those with minimal ML backgrounds, to move from concept to deployment in record time by leveraging straightforward building blocks like tools, skills, and resources."

Luis Felipe H Mora

"Just wrapped up a hackathon using the Nitrostack SDK and I’m blown away. I built a CRM-integrated CLI that handles LLM actions and campaign analytics under 2 days. The decorator-based architecture is really straightforward, and the synergy between NitroStudio and Nitrocloud is top-tier. It’s rare to find a suite this complete."

Shivathanu

"For a project that would otherwise require orchestrating several build tools, configs, & MCP server boilerplate by hand, NitroStack CLI reduced the setup time for a production-grade MCP app. It let me focus on security logic instead of infrastructure, making it a strong foundation for shipping MCP-native tools quickly with TypeScript."

Pallav Tripathi

"I started using nitrostack for exploring and running defferent mcp servers and amazed by its easy to use features and compatibility with nestjs and nextjs javascript frameworks which is my default language of choice for development, ai chat is easy to integrate with my map server which is the most useful feature for me."

Satnam Singh

"While experimenting with NitroStack for MCP-based tooling, what stood out to me was how much accidental complexity it removes from the typical AI agent stack. The declarative TypeScript SDK, built-in authentication patterns, and integrated tooling make it easy to move from experimentation to something deployable without stitching together multiple frameworks or infrastructure layers."

Rafael Meller

"My team used NitroStack to implement a chatbot and an MCP server, and the experience was extremely smooth. From project scaffolding to testing tools during development, the workflow was clear and efficient. NitroStack simplifies the process of building and deploying MCP and chat-based applications, saving our team a significant amount of development time and effort."

Sharma S S

"The AI follows the system prompt and picks the right tools without extra glue. NitroStack made it easy to ship an MCP app that feels like a real product. It helped us built an employee resource and staffing platform within 2 days. "

Shubham Singh

"This is a fantastic tool for creating MCP servers. I previously spent a lot of time hacking together various libraries just to get a simple server running, but now it’s a breeze. The development experience feels very similar to NestJS; as a result, the entire codebase is much better structured and far more maintainable."

Charumathi

"While building InsureMate’s AI recommendation workflows, NitroStudio’s Ops Canvas gave us instant visibility into our pipelines and API calls. Instead of digging through logs, we could visually trace the entire flow and identify bottlenecks in seconds. Debugging and optimizing the system became dramatically faster."

Anand Shirahatti

"My experience with NitroStack.ai was positive. It provides a structured framework for building scalable AI tools. The modular architecture organizes large projects well, and decorator-based development reduces boilerplate and improves readability."

Sachin Deshpande

"I built CommitGuard, an MCP app for evaluating commitment-time risk across production, supplier, workforce, and finance domains using NitroStack. I liked how practical it feels for real development, the TypeScript-first approach and decorators make structuring MCP tools and keeping business logic clean."

Chetan Kumar

"As a Project Manager without a technical background, building functional AI apps felt out of reach. NitroStack changed that. In a recent hackathon, I read the docs and deployed a working MCP widget in under an hour, turning complex AI integrations into a fast, seamless prototyping experience."

Gayathri M Nair

"As a Product Manager, one of the biggest challenges has always been the gap between product ideas and the engineering effort required to bring AI features to life. Nitro Stack significantly reduces that gap."

S ASHWIN

"NitroStack made building the MCP workflows very straightforward. Was able to set up the tools, debug flows visually, and ship a working prototype much faster than expected. It really simplified the entire development process"

Heenakousar M Makandar

"NitroStack is a game-changer for building AI-powered apps. It allowed us to bridge the gap between complex multi-agent analysis and human-in-the-loop approval seamlessly. The decorator-based architecture made exposing tools and resources incredibly intuitive, letting us focus on the core logic rather than the plumbing."

Navarathinam

"I've been using Nitrostack to develop MCP tools, and the experience has been great. The design process is straightforward, and tool integration works smoothly without complications. If you already have an idea for a tool, it doesn’t take much time to build it. In fact, you can develop a functional MCP tool in around 30 minutes using Nitrostack."

Suresh

"As a developer, Nitrostack makes application development much smoother. The platform provides a clean workflow, good tooling, and strong support for modern technologies. It significantly reduces development complexity and improves productivity."

Geetha B

"NitroStack gave us a fast path to a working MCP server with tools, resources, prompts, and widgets, strong local dev DX, and a clear, type-safe structure that matched how we wanted to build InsureMate."

Y Bhavani Devi

"NitroStack looks like a helpful framework for building AI tools. The setup and overall architecture seem simple and easy to follow, which should make development and testing quicker for developers. It also looks like a nice way to organize and manage AI workflows."

Dhaval Sharma

"Nitrostack distills complex AI infrastructure into intuitive, programmable artifacts. It has allowed our team, even those with minimal ML backgrounds, to move from concept to deployment in record time by leveraging straightforward building blocks like tools, skills, and resources."

Luis Felipe H Mora

"Just wrapped up a hackathon using the Nitrostack SDK and I’m blown away. I built a CRM-integrated CLI that handles LLM actions and campaign analytics under 2 days. The decorator-based architecture is really straightforward, and the synergy between NitroStudio and Nitrocloud is top-tier. It’s rare to find a suite this complete."

Shivathanu

"For a project that would otherwise require orchestrating several build tools, configs, & MCP server boilerplate by hand, NitroStack CLI reduced the setup time for a production-grade MCP app. It let me focus on security logic instead of infrastructure, making it a strong foundation for shipping MCP-native tools quickly with TypeScript."

Pallav Tripathi

"I started using nitrostack for exploring and running defferent mcp servers and amazed by its easy to use features and compatibility with nestjs and nextjs javascript frameworks which is my default language of choice for development, ai chat is easy to integrate with my map server which is the most useful feature for me."

Satnam Singh

"While experimenting with NitroStack for MCP-based tooling, what stood out to me was how much accidental complexity it removes from the typical AI agent stack. The declarative TypeScript SDK, built-in authentication patterns, and integrated tooling make it easy to move from experimentation to something deployable without stitching together multiple frameworks or infrastructure layers."

Rafael Meller

"My team used NitroStack to implement a chatbot and an MCP server, and the experience was extremely smooth. From project scaffolding to testing tools during development, the workflow was clear and efficient. NitroStack simplifies the process of building and deploying MCP and chat-based applications, saving our team a significant amount of development time and effort."

Sharma S S

"The AI follows the system prompt and picks the right tools without extra glue. NitroStack made it easy to ship an MCP app that feels like a real product. It helped us built an employee resource and staffing platform within 2 days. "

Shubham Singh

"This is a fantastic tool for creating MCP servers. I previously spent a lot of time hacking together various libraries just to get a simple server running, but now it’s a breeze. The development experience feels very similar to NestJS; as a result, the entire codebase is much better structured and far more maintainable."

Charumathi

"While building InsureMate’s AI recommendation workflows, NitroStudio’s Ops Canvas gave us instant visibility into our pipelines and API calls. Instead of digging through logs, we could visually trace the entire flow and identify bottlenecks in seconds. Debugging and optimizing the system became dramatically faster."

Anand Shirahatti

"My experience with NitroStack.ai was positive. It provides a structured framework for building scalable AI tools. The modular architecture organizes large projects well, and decorator-based development reduces boilerplate and improves readability."

Sachin Deshpande

"I built CommitGuard, an MCP app for evaluating commitment-time risk across production, supplier, workforce, and finance domains using NitroStack. I liked how practical it feels for real development, the TypeScript-first approach and decorators make structuring MCP tools and keeping business logic clean."

Chetan Kumar

"As a Project Manager without a technical background, building functional AI apps felt out of reach. NitroStack changed that. In a recent hackathon, I read the docs and deployed a working MCP widget in under an hour, turning complex AI integrations into a fast, seamless prototyping experience."

Gayathri M Nair

"As a Product Manager, one of the biggest challenges has always been the gap between product ideas and the engineering effort required to bring AI features to life. Nitro Stack significantly reduces that gap."

S ASHWIN

"NitroStack made building the MCP workflows very straightforward. Was able to set up the tools, debug flows visually, and ship a working prototype much faster than expected. It really simplified the entire development process"

Heenakousar M Makandar

"NitroStack is a game-changer for building AI-powered apps. It allowed us to bridge the gap between complex multi-agent analysis and human-in-the-loop approval seamlessly. The decorator-based architecture made exposing tools and resources incredibly intuitive, letting us focus on the core logic rather than the plumbing."

Navarathinam

"I've been using Nitrostack to develop MCP tools, and the experience has been great. The design process is straightforward, and tool integration works smoothly without complications. If you already have an idea for a tool, it doesn’t take much time to build it. In fact, you can develop a functional MCP tool in around 30 minutes using Nitrostack."

Suresh

"As a developer, Nitrostack makes application development much smoother. The platform provides a clean workflow, good tooling, and strong support for modern technologies. It significantly reduces development complexity and improves productivity."

Geetha B

"NitroStack gave us a fast path to a working MCP server with tools, resources, prompts, and widgets, strong local dev DX, and a clear, type-safe structure that matched how we wanted to build InsureMate."

Y Bhavani Devi

"NitroStack looks like a helpful framework for building AI tools. The setup and overall architecture seem simple and easy to follow, which should make development and testing quicker for developers. It also looks like a nice way to organize and manage AI workflows."

Dhaval Sharma

"Nitrostack distills complex AI infrastructure into intuitive, programmable artifacts. It has allowed our team, even those with minimal ML backgrounds, to move from concept to deployment in record time by leveraging straightforward building blocks like tools, skills, and resources."

Luis Felipe H Mora

"Just wrapped up a hackathon using the Nitrostack SDK and I’m blown away. I built a CRM-integrated CLI that handles LLM actions and campaign analytics under 2 days. The decorator-based architecture is really straightforward, and the synergy between NitroStudio and Nitrocloud is top-tier. It’s rare to find a suite this complete."

Shivathanu

"For a project that would otherwise require orchestrating several build tools, configs, & MCP server boilerplate by hand, NitroStack CLI reduced the setup time for a production-grade MCP app. It let me focus on security logic instead of infrastructure, making it a strong foundation for shipping MCP-native tools quickly with TypeScript."

Pallav Tripathi

"I started using nitrostack for exploring and running defferent mcp servers and amazed by its easy to use features and compatibility with nestjs and nextjs javascript frameworks which is my default language of choice for development, ai chat is easy to integrate with my map server which is the most useful feature for me."

Satnam Singh

"While experimenting with NitroStack for MCP-based tooling, what stood out to me was how much accidental complexity it removes from the typical AI agent stack. The declarative TypeScript SDK, built-in authentication patterns, and integrated tooling make it easy to move from experimentation to something deployable without stitching together multiple frameworks or infrastructure layers."

Rafael Meller

"My team used NitroStack to implement a chatbot and an MCP server, and the experience was extremely smooth. From project scaffolding to testing tools during development, the workflow was clear and efficient. NitroStack simplifies the process of building and deploying MCP and chat-based applications, saving our team a significant amount of development time and effort."

Sharma S S

"The AI follows the system prompt and picks the right tools without extra glue. NitroStack made it easy to ship an MCP app that feels like a real product. It helped us built an employee resource and staffing platform within 2 days. "

Shubham Singh

"This is a fantastic tool for creating MCP servers. I previously spent a lot of time hacking together various libraries just to get a simple server running, but now it’s a breeze. The development experience feels very similar to NestJS; as a result, the entire codebase is much better structured and far more maintainable."

Charumathi

"While building InsureMate’s AI recommendation workflows, NitroStudio’s Ops Canvas gave us instant visibility into our pipelines and API calls. Instead of digging through logs, we could visually trace the entire flow and identify bottlenecks in seconds. Debugging and optimizing the system became dramatically faster."

Anand Shirahatti

"My experience with NitroStack.ai was positive. It provides a structured framework for building scalable AI tools. The modular architecture organizes large projects well, and decorator-based development reduces boilerplate and improves readability."

Sachin Deshpande

"I built CommitGuard, an MCP app for evaluating commitment-time risk across production, supplier, workforce, and finance domains using NitroStack. I liked how practical it feels for real development, the TypeScript-first approach and decorators make structuring MCP tools and keeping business logic clean."

Chetan Kumar

"As a Project Manager without a technical background, building functional AI apps felt out of reach. NitroStack changed that. In a recent hackathon, I read the docs and deployed a working MCP widget in under an hour, turning complex AI integrations into a fast, seamless prototyping experience."

Gayathri M Nair

"As a Product Manager, one of the biggest challenges has always been the gap between product ideas and the engineering effort required to bring AI features to life. Nitro Stack significantly reduces that gap."

S ASHWIN

"NitroStack made building the MCP workflows very straightforward. Was able to set up the tools, debug flows visually, and ship a working prototype much faster than expected. It really simplified the entire development process"

Heenakousar M Makandar

"NitroStack is a game-changer for building AI-powered apps. It allowed us to bridge the gap between complex multi-agent analysis and human-in-the-loop approval seamlessly. The decorator-based architecture made exposing tools and resources incredibly intuitive, letting us focus on the core logic rather than the plumbing."

Navarathinam

"I've been using Nitrostack to develop MCP tools, and the experience has been great. The design process is straightforward, and tool integration works smoothly without complications. If you already have an idea for a tool, it doesn’t take much time to build it. In fact, you can develop a functional MCP tool in around 30 minutes using Nitrostack."

Suresh

"As a developer, Nitrostack makes application development much smoother. The platform provides a clean workflow, good tooling, and strong support for modern technologies. It significantly reduces development complexity and improves productivity."

Geetha B

"NitroStack gave us a fast path to a working MCP server with tools, resources, prompts, and widgets, strong local dev DX, and a clear, type-safe structure that matched how we wanted to build InsureMate."

Y Bhavani Devi

"NitroStack looks like a helpful framework for building AI tools. The setup and overall architecture seem simple and easy to follow, which should make development and testing quicker for developers. It also looks like a nice way to organize and manage AI workflows."

Join the NitroStudio Community

Developers sharing workflows, debugging tips, and feature requests. Help shape the IDE built for MCP.

Download Studio

NitroStudio is available for macOS, Windows, and Linux. Choose your platform to get started.

macOS

Universal (Apple Silicon & Intel) · v1.4.4

Windows

64-bit (x64) · v1.4.4

Linux

.deb (Debian / Ubuntu) · v1.4.4

System Requirements

macOS

macOS 12.0 (Monterey) or later
Apple Silicon or Intel processor
4 GB RAM minimum

Windows

Windows 10 or later (64-bit)
x64 processor
4 GB RAM minimum

Linux

Debian 10+ / Ubuntu 20.04+
x64 (amd64) processor
4 GB RAM minimum