Merge Claims Its MCP Connectors Match or Beat Public MCPs, Cut Tokens 24%
shensi · x · 2026-09-26
Merge API shared results comparing its connector tools against public MCPs, claiming it matches or beats them on task correctness.
The key is workflow-based actions: agents no longer spend turns discovering schemas, assembling raw requests, or recovering from avoidable mistakes — often meaning fewer turns and up to 24% fewer output tokens.
More from coding & agent
- kaigen3d principles: code-first runtime and user-controlled frame loop make it AI-friendly — gdechichi · 2026-09-26
- kaigen3d engine demo: cross-platform AI-first 3D engine hits 330+ FPS on 6-year-old laptop GPU — gdechichi · 2026-09-26
- Data viz researcher turns chart-design research into open-source agent skill evident-charts — randal_olson · 2026-09-26
- Andrew Ng: rigid testing on early-stage AI projects is a recipe for stall — DeepLearningAI · 2026-09-26
- Peter Steiberger says he codes with Codex plus an OC harness, not Claude — steipete · 2026-09-26
- Can AI audit my 1000-video music library? A practical video-understanding use case — SkipMorrow · 2026-09-26