Developer Tools●●Solid
Kster.ai – Structured product context your coding agent reads over MCP
MCP integration for product context when Cursor already handles code context.
Big BrainShip It
catalinviciu
308d ago
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9 starsPython
PatchworkMCP – Agents report what's missing from your MCP server
by keytonw·Feb 18, 2026·2 points·1 comment
AI Analysis
●●SolidNiche GemShip It
The Take
When an agent fails, PatchworkMCP forces it to produce a structured 'gap' report and then offers a one-click Draft PR that reads your repo and proposes code changes. The single-file drop-in for multiple languages plus a local dashboard (localhost:8099) shows product-level thinking and a clear workflow from error-to-fix. It’s clever and immediately useful for early-stage MCP development — the main risk is noisy or low-quality LLM patches, but the feedback->PR loop is a neat multiplier for small teams.
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Target Audience
Backend engineers, AI/agent developers, and teams building MCP servers or tool integrations
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