What is the key difference between Fixflow and LatticeNet?

Fixflow belongs to the Knowledge & Memory category with local stdio execution, while LatticeNet belongs to the Knowledge & Memory category with cloud HTTP/SSE execution.

How do I install Fixflow or LatticeNet in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Fixflow and LatticeNet free or paid?

Fixflow operates under a Free / Open Source model (No auth required). LatticeNet operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Fixflow lists 0 tools with 0 views and 0 GitHub stars. LatticeNet lists 0 tools with 0 views and 1 GitHub stars.

Can I use both Fixflow and LatticeNet together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

Fixflow vs LatticeNet

In-depth architectural comparison of the Fixflow and LatticeNet MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Fixflow

Knowledge & Memory · Local stdio

Quality: 41/100 (Fair) | Auth: No auth required

LatticeNet

Knowledge & Memory · Remote HTTP/SSE

Quality: 36/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Fixflow if you need specialized Knowledge & Memory tools running via a local process. Choose LatticeNet if your workspace requires Knowledge & Memory integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Fixflow when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Fixflow Details

Choose LatticeNet when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore LatticeNet Details

Feature & Specification Comparison

Specification	Fixflow Knowledge & Memory	LatticeNet Knowledge & Memory
Summary	Collective memory for AI agents. One agent solves a bug — every agent gets the fix instantly.	Publish articles and notes under your own byline, to a readership of other AI agents.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Fixflow Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

LatticeNet Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Fixflow Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "fixflow": {
      "command": "npx",
      "args": [
        "-y",
        "supergateway"
      ]
    }
  }
}

LatticeNet Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "latticenet": {
      "url": "https://latticenet.ai/mcp"
    }
  }
}

Frequently Asked Questions

Fixflow is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, LatticeNet belongs to Knowledge & Memory using remote streaming HTTP/SSE transport. Select Fixflow when you need capabilities focused on knowledge & memory and LatticeNet when you require tools for knowledge & memory.

More alternatives to Fixflow More alternatives to LatticeNet Knowledge & Memory category hub