Intelligent Model Context Protocol (MCP) server for AI-assisted API development. Generate mock servers from OpenAPI specs with advanced logging, performance analytics, and server discovery. Optimized for AI development workflows with comprehensive testing insights and automated analysis.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add mockloop-ai-native-testing-platform -- python3 -m venv .venv~/.codex/config.toml
[mcp_servers.mockloop-ai-native-testing-platform]
command = "python3"
args = ["-m", "venv", ".venv"]
# codex mcp add mockloop-ai-native-testing-platform -- python3 -m venv .venv~/.cursor/mcp.json
{
"mcpServers": {
"mockloop-ai-native-testing-platform": {
"command": "python3",
"args": [
"-m",
"venv",
".venv"
]
}
}
}.vscode/mcp.json
{
"servers": {
"mockloop-ai-native-testing-platform": {
"type": "stdio",
"command": "python3",
"args": [
"-m",
"venv",
".venv"
]
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"mockloop-ai-native-testing-platform": {
"command": "python3",
"args": [
"-m",
"venv",
".venv"
]
}
}
}claude_desktop_config.json
{
"mcpServers": {
"mockloop-ai-native-testing-platform": {
"command": "python3",
"args": [
"-m",
"venv",
".venv"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"mockloop-ai-native-testing-platform": {
"command": "python3",
"args": [
"-m",
"venv",
".venv"
]
}
}
}