Test API integrations safely in isolated, real-world environments
From $5/mo (free plan available)Visit WebsiteFreemium Visit Website
Tracked since 2026
The Bottom Line
- Price
- From $5/mo (free plan available). Compare plans
Key facts
- Pre-configured sandboxes for 50+ APIs (Stripe, Twilio, GitHub, OpenAI) that behave like the real API including state and webhooks
- Integrates directly with AI coding assistants via MCP so agents can test integrations without leaving the IDE
- Verifies webhook delivery, workflow state, and invariants end-to-end, catching bugs that traditional API tests miss
Pros
- Eliminates the need for real API keys during development, preventing accidental charges and quota burns
- Catches real-world integration bugs like duplicate webhooks, missing state transitions, and async failures
- Works seamlessly with AI coding assistants, keeping the testing loop inside the agent's workflow
Cons
- Free tier limited to 1,000 runs per month; higher usage requires paid subscription
- Hosted backend is not open source; only the MCP package and CLI are MIT-licensed
What is FetchSandbox MCP?
FetchSandbox MCP is a hosted sandbox engine that lets developers and AI agents test real-world API integrations without burning production API keys or touching live data. It provides pre-configured, isolated environments for popular APIs like Stripe, Twilio, OpenAI, and Paddle, enabling end-to-end testing of complex workflows including webhook delivery, stateful sequences, and error scenarios. The tool integrates directly with AI coding assistants like Cursor, Claude, and Codex CLI via MCP (Model Context Protocol), allowing agents to validate integrations during development rather than after deployment. Unlike traditional API testing that stops at successful HTTP responses, FetchSandbox verifies the full integration behavior: webhook delivery, workflow state transitions, contract adherence, and invariants. Each run is a complete scenario (e.g., create customer, charge, catch webhook) that carries state between steps and simulates real API behavior. The MCP package and CLI are MIT-licensed open source, while the hosted backend provides the sandbox environments, curated workflow library, and team-grade controls like SSO, audit logs, and private storage.
Key Features
- Pre-configured sandbox environments for 50+ APIs with no API keys or OAuth required
- End-to-end integration scenarios that carry state between steps and simulate webhooks
- MCP integration for Cursor, Claude, Codex CLI and other AI coding assistants
- CLI tool for running integration tests from the terminal
- OpenAPI import to create custom sandbox environments
- Webhook replay and run history (Pro tier)
- Private integrations and team-grade controls (Enterprise tier)
Pricing Plans
Pricing checked Oct 5, 2026
| Plan | Price | Details |
|---|---|---|
| Free | Free |
+2 more Show less
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| Pro | $5 / month |
+2 more Show less
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| Enterprise | Custom |
+3 more Show less
|
Is FetchSandbox MCP worth the price?
Good value
This pricing is generous and well-structured for a developer tool.
The Free tier (1,000 runs/month) is genuinely usable for exploration, and the Pro tier at $5/month for 10,000 runs is exceptionally low, undercutting most competing integration testing tools. Best for solo developers, small teams, or enterprises needing custom deployment.
Hidden Costs & Gotchas
Pro overage at $5 per extra 10k runs
Reviews
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FetchSandbox MCP FAQ
How does FetchSandbox MCP help developers test Stripe or Twilio integrations without using real API keys?
FetchSandbox MCP provides pre-configured, isolated sandbox environments for APIs like Stripe, Twilio, OpenAI, and Paddle, so developers can test end-to-end workflows such as creating a customer, charging them, and catching webhooks without burning production API keys or touching live data. Each run is a complete scenario that carries state between steps and simulates real API behavior, including webhook delivery and error scenarios.
How does FetchSandbox MCP compare to Postman for API integration testing?
Unlike Postman, which primarily validates individual HTTP responses, FetchSandbox MCP verifies the full integration behavior including webhook delivery, workflow state transitions, contract adherence, and invariants. It is designed for testing complex, stateful sequences across multiple API calls, making it more suited for catching real-world bugs like duplicate webhooks and missing state transitions.
What are the main limitations or trade-offs of using FetchSandbox MCP?
The free tier is limited to 1,000 runs per month, and higher usage requires a paid subscription. Additionally, while the MCP package and CLI are MIT-licensed open source, the hosted backend that provides sandbox environments, curated workflows, and team controls is not open source.
Which teams benefit most from using FetchSandbox MCP?
Teams building and maintaining integrations with third-party APIs, especially those using AI coding assistants like Cursor, Claude, or Codex CLI, benefit most because FetchSandbox MCP lets agents validate integrations during development rather than after deployment. It is also ideal for teams that need to test complex, stateful workflows and catch async failures before going to production.
How is FetchSandbox MCP priced?
FetchSandbox MCP is available on a free tier, with paid plans for more usage and additional features such as SSO, audit logs, and private storage for team-grade controls.
Can FetchSandbox MCP integrate directly with AI coding assistants like Cursor or Claude?
Yes, FetchSandbox MCP integrates directly with AI coding assistants like Cursor, Claude, and Codex CLI via the Model Context Protocol (MCP), allowing agents to test API integrations during development without leaving the coding workflow. This keeps the testing loop inside the agent's environment, preventing accidental charges and quota burns.
Does FetchSandbox MCP support testing webhook delivery and stateful sequences?
Yes, FetchSandbox MCP verifies full integration behavior including webhook delivery, workflow state transitions, contract adherence, and invariants. Each run is a complete scenario that carries state between steps, enabling end-to-end testing of complex workflows like creating a customer, charging them, and catching the resulting webhook.
Why would a developer choose FetchSandbox MCP over using Mockoon or Webhook.site for API testing?
FetchSandbox MCP goes beyond mocking individual endpoints by providing pre-configured, isolated environments that simulate real API behavior for services like Stripe and Twilio, including stateful sequences and webhook delivery. Unlike Mockoon or Webhook.site, it is designed to catch real-world integration bugs such as duplicate webhooks, missing state transitions, and async failures, and it integrates directly with AI coding assistants via MCP.
Source: fetchsandbox.com