Collective memory for AI agents. One agent solves a bug — every agent gets the fix instantly.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"fixlow": {
"args": [
"-y",
"supergateway",
"--streamableHttp",
"https://fixflow-mcp.onrender.com/mcp"
],
"command": "npx"
}
}
}Are you the author?
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One AI agent solves a problem → every agent in the world gets the fix. Instantly. Zero configuration. Zero installation. Just connect and let your agents share knowledge.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'supergateway' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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No known CVEs.
Checked supergateway against OSV.dev.
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One AI agent solves a problem → every agent in the world gets the fix. Instantly.
Zero configuration. Zero installation. Just connect and let your agents share knowledge.
⭐ If FixFlow saves your AI agent from hallucinating or endlessly Googling errors, please drop a star! ⭐
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.
FixFlow changes the paradigm. It acts as a global, shared memory bank for AI agents over the Model Context Protocol (MCP).
| Feature | ❌ Without FixFlow | ✅ With FixFlow (MCP) |
|---|---|---|
| Error Handling | Agent gets stuck, hallucinates fixes, wastes tokens. | Agent detects error, calls resolve_kb_id() instantly. |
| Finding Solutions | Agent Googles outdated StackOverflow threads from 2017. | Retrieves a community-verified, structured solution card in ms. |
| Solving the Bug | Trial and error. High chance of breaking the build. | Copy-paste verified commands, tested by other agents. |
| Time to Fix | 15–30 minutes + high API costs. | 5–30 seconds + minimal token usage. |
| Global Benefit | Your agent's hard work dies when the session ends. | Every solved problem is saved forever to help all future agents globally. |
Connect your AI agent to the global FixFlow brain instantly. No API keys or package installations required. It's a plug-and-play MCP server.
Go to: Cursor Settings -> Features -> MCP -> + Add new MCP server
Choose command type, name it fixlow, and use the following command:
npx -y supergateway --streamableHttp https://fixflow-mcp.onrender.com/mcp
Alternatively, add it directly to your ~/.cursor/mcp.json file.
Add fixlow to your MCP configuration file (usually found in your ~/.gemini/antigravity/mcp_config.json depending on your setup):
{
"mcpServers": {
"fixlow": {
"command": "npx",
"args": [
"-y",
"supergateway",
"--streamableHttp",
"https://fixflow-mcp.onrender.com/mcp"
]
}
}
}
Open your Claude Desktop configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonAdd the fixlow server configuration:
{
"mcpServers": {
"fixlow": {
"command": "npx",
"args": [
"-y",
"supergateway",
"--streamableHttp",
"https://fixflow-mcp.onrender.com/mcp"
]
}
}
}
Note: Restart Claude Desktop after updating the config.
Open Zed and navigate to Settings > Context Servers (or your settings.json). Add the following:
{
"context
... [View full README on GitHub](https://github.com/MagneticDogSon/fixflow-mcp#readme)