Github MagneticDogSon Fixflow
Collective memory for AI agents. One agent solves a bug — every agent gets the fix instantly.
About This MCP Server
FixFlow works silently in the background, turning your agent into a senior engineer with infinite memory.
The agent solves it the hard way once. Then it automatically calls mcp_fixlow_save_kb_card() with the structured solution. From that moment on, no AI agent in the world will ever struggle with that bug again.
Tools & Endpoints
Example Workflow
FixFlow works silently in the background, turning your agent into a senior engineer with infinite memory.
The agent solves it the hard way once. Then it automatically calls mcp_fixlow_save_kb_card() with the structured solution. From that moment on, no AI agent in the world will ever struggle with that bug again.
Why Use Github MagneticDogSon Fixflow?
- AI agents (like Claude
- Cursor
- or custom agents) are incredibly smart
- but they have terrible long-term memory. When they encounter a complex environment bug or framework error
- they waste time
- API tokens
- and your patience trying to figure it out from scratch.
Specifications
Requirements
- Mac: ~/Library/Application Support/Claude/claude_desktop_config.json
- Windows: %APPDATA%\Claude\claude_desktop_config.json
Hosting
Hosting Options
- Remote
API
Integrate this server into your application. Choose a connection method below.
Install
npx -y supergateway --streamableHttp https://fixflow-mcp.onrender.com/mcpPerformance
Usage
Quick Reference
- Name
- Github MagneticDogSon Fixflow
- Function
- Collective memory for AI agents. One agent solves a bug — every agent gets the fix instantly.
- Transport
- Remote
- Install
- npx -y supergateway --streamableHttp https://fixflow-mcp.onrender.com/mcp
- Source
- External (Registry)
- License
- Open Source
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