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OSS2026-07-16 · source-backed
littledivy/mimic (MIT, created July 13, ~356 stars/day) captures a mobile app's HTTP traffic through mitmproxy, extracts auth tokens and session data, then has Claude generate a Python client with named methods for the discovered endpoints. No API documentation required. Backends include mitmproxy, cURL, and HAR files, with documented limits around certificate pinning and sender-constrained tokens. The README's example wraps Hinge, which is the demo, not the point. LLM-generated SDKs from observed traffic is the pattern. ToS and legal exposure are entirely on you.
Each link below shares sources, entities, or timing with this story.
LLM uses OpenAI / Shared entities / Same source domain / Shared topic / Earlier coverage
Linked by a graph relationship (LLM uses OpenAI); both cover Claude, MIT; reported by the same outlet (github.com).
Claude uses MCP / Shared entities / Same source domain / Shared topic / Earlier coverage
Linked by a graph relationship (Claude uses MCP); both cover Claude, Python; reported by the same outlet (github.com).
Cursor supports Claude / Shared entities / Same source domain / Shared topic / Earlier coverage
Linked by a graph relationship (Cursor supports Claude); both cover CLAUDE, LLM; reported by the same outlet (github.com).
Notion partners with Claude / Shared entities / Same source domain
Linked by a graph relationship (Notion partners with Claude); both cover Claude, July, MIT; reported by the same outlet (github.com).
Claude uses MCP / Shared entities / Same source domain / Earlier coverage / Tension
Linked by a graph relationship (Claude uses MCP); both cover LLM, MIT; reported by the same outlet (github.com).
Claude uses MCP / Shared entities / Shared topic / Earlier coverage / Tension
Linked by a graph relationship (Claude uses MCP); both cover CLAUDE, LLM; overlapping topics (claude, token).
Claude uses MCP / Shared entities / Same source domain / Shared topic
Linked by a graph relationship (Claude uses MCP); both cover July, MIT; reported by the same outlet (github.com).
LLM uses OpenAI / Shared entities / Shared topic / Earlier coverage
Linked by a graph relationship (LLM uses OpenAI); both cover Claude, LLM; overlapping topics (claude, data, token).