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mockloop-mcp
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mockloop-mcp

Active·★ 17·MIT·Updated 2026-10-11

MockLoop MCP is the world's first AI-native API testing platform, revolutionizing API testing with comprehensive AI-driven scenario generation, automated test execution, and intelligent analysis capabilities. It leverages the Model Context Protocol (MCP) to provide advanced features like stateful testing, enterprise compliance, and a dual-port architecture.

#AI-native Testing#API Testing#Mock Server#Model Context Protocol (MCP)#Test Automation#Security Testing#Performance Testing#Schema Verification (SchemaPin)
$ Install
$ pip install mockloop-mcp
↗ Visit site★ GitHub
01

Features

01Automated Test Execution: Employs 30 comprehensive MCP tools for complete testing workflows.
02Stateful Testing: Provides advanced context management with GlobalContext and AgentContext for complex workflows.
03Dual-Port Architecture: Eliminates /admin path conflicts with separate mocked API and admin ports for enhanced security and analytics.
04SchemaPin Cryptographic Verification: Integrates SchemaPin for cryptographic schema verification to prevent 'MCP Rug Pull' attacks and ensure integrity.
02

Compatibility

Python
Runtime
Verified via docs
MCP Client
Integration
Verified via docs
Docker
Deployment
Verified via docs
LangGraph
AI Framework
Verified via docs
CrewAI
AI Framework
Verified via docs
LangChain
AI Framework
Verified via docs
03

Quick start

1
$ pip install mockloop-mcp
04

Use cases

↳Development Workflow Integration: Seamlessly switch between mock, proxy, and hybrid modes for efficient development and gradual integration with live APIs.
↳Comprehensive Integration Testing: Validate against real services while maintaining test isolation and comparing mock vs. live API responses.
↳Performance and Security Assessment: Conduct AI-optimized load testing, performance monitoring, and automated security vulnerability assessments.
↳Enterprise Compliance and Auditing: Ensure regulatory compliance and maintain complete audit trails for API requests and responses.
↳Secure Multi-Agent AI Workflows: Integrate with AI frameworks like LangGraph and CrewAI for secure, cryptographically verified multi-agent testing workflows using SchemaPin.
05

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On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
MockLoop /
mockloop-mcp
↗

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.

17MIT
Last commit1w ago
StatusActive
CategoryDev Tooling
Links
Documentation↗Discussion↗Issues↗Releases↗
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