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.
Last commit October 8, 2026, 35 days ago.
17 GitHub stars and 0 Honeystax upvotes. Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
Starts at 6. Added: last commit 35 days ago +7, GitHub health 75/100 +8, no security policy +8, no contributing guide +4.
AI Agent
Universal
Model
Multiple
Fastest way to find out if mockloop-mcp belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add mockloop-mcp -- npx mockloop-mcpRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove mockloop-mcpNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ mockloop-mcp ← registers here
mockloop-mcp is listed on Honeystax as a MCP Server for Universal, since June 20, 2026. Its code is at github.com/MockLoop/mockloop-mcp, with 17 GitHub stars and 9 open issues. Last commit October 8, 2026, 35 days ago. GitHub's community health check gives it 75 out of 100.
Source: GitHub repository
Source check: October 8, 2026
Upstream commit: October 8, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.