FetchSandbox

v0.3.2APIsstable

Turn any OpenAPI 3.x spec into a runnable, stateful API environment for AI agents. Test real integration flows — multi-step workflows, persistent state, webhook delivery, retries, and edge cases — instead of guessing from docs or mocking endpoints. G

fetchsandboxmcpai-integration
Share:
0
Stars
0
Downloads
0
Weekly
0/5

What is FetchSandbox?

FetchSandbox is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to turn any openapi 3.x spec into a runnable, stateful api environment for ai agents. test real integration flows — multi-step workflows, persistent state, webhook delivery, retries, and edge cases — ins...

Turn any OpenAPI 3.x spec into a runnable, stateful API environment for AI agents. Test real integration flows — multi-step workflows, persistent state, webhook delivery, retries, and edge cases — instead of guessing from docs or mocking endpoints. G

This server falls under the APIs and Developer Tools categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Turn any OpenAPI 3.x spec into a runnable, stateful API envi

Use Cases

Test multi-step API workflows with persistent state and webhook delivery.
Debug edge cases, retries, and real integration flows without mocking.
fetchsandbox

Maintainer

LicenseMIT License
Languagetypescript
Versionv0.3.2
UpdatedMay 14, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

NPM

npx -y fetchsandbox-mcp

Manual Installation

npx -y fetchsandbox-mcp

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about FetchSandbox

What is FetchSandbox?

FetchSandbox is a Model Context Protocol (MCP) server that turn any openapi 3.x spec into a runnable, stateful api environment for ai agents. test real integration flows — multi-step workflows, persistent state, webhook delivery, retries, and edge cases — instead of guessing from docs or mocking endpoints. g It connects AI assistants to external tools and data sources through a standardized interface.

How do I install FetchSandbox?

Install via npm with the command: npx -y fetchsandbox-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

Which AI clients work with FetchSandbox?

FetchSandbox works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is FetchSandbox free to use?

Yes, FetchSandbox is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

Browse More APIs MCP Servers

Explore all apis servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "fetchsandbox": { "command": "npx", "args": ["-y", "fetchsandbox-mcp"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use FetchSandbox?

Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.

33,000+ ServersFree & Open SourceStep-by-Step Guides