MCP server to generate and run mock APIs from specifications.
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Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"iflow-mcp-mockloop-mockloop-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
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> **NOTE: We have [fully](https://github.com/MockLoop/mockloop-mcp/commit/2fe4f485b5a13346393a6d5ed0f8b3a4dded7bbb) implemented [SchemaPin](https://schemapin.org) to help combat questionable copies of this project on Github and elsewhere. Be sure validate you are using releases from this repo and can use SchemaPin to validate our tool schemas: https://mockloop.com/.well-known/schemapin.json**  # MockLoop MCP - AI-Native Testing Platform [](https://pypi.org/project/mockloop-mcp/) [](https://pypi.org/project/mockloop-mcp/) [](https://pypi.org/project/mockloop-mcp/) [](https://github.com/mockloop/mockloop-mcp/blob/main/LICENSE) [](https://github.com/mockloop/mockloop-mcp/actions) [](https://docs.mockloop.com) [](https://docs.mockloop.com/ai-integration/overview/) [](https://modelcontextprotocol.io/) **The world's first AI-native API testing platform** powered by the Model Context Protocol (MCP). MockLoop MCP revolutionizes API testing with comprehensive AI-driven scenario generation, automated test execution, and intelligent analysis capabilities. **🚀 Revolutionary Capabilities:** 5 AI Prompts • 15 Scenario Resources • 16 Testing Tools • 10 Context Tools • 4 Core Tools • Complete MCP Integration **📚 Documentation:** https://docs.mockloop.com **📦 PyPI Package:** https://pypi.org/project/mockloop-mcp/ **🐙 GitHub Repository:** https://github.com/mockloop/mockloop-mcp ## 🌟 What Make…
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