What is the key difference between TeamShared and Dreamd?

TeamShared belongs to the Knowledge & Memory category with local stdio execution, while Dreamd belongs to the Knowledge & Memory category with local stdio execution.

How do I install TeamShared or Dreamd 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 TeamShared and Dreamd free or paid?

TeamShared operates under a Free / Open Source model (No auth required). Dreamd operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

TeamShared lists 0 tools with 0 views and 0 GitHub stars. Dreamd lists 0 tools with 0 views and 3 GitHub stars.

Can I use both TeamShared and Dreamd 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

TeamShared vs Dreamd

In-depth architectural comparison of the TeamShared and Dreamd 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

TeamShared

Knowledge & Memory · Local stdio

Quality: 27/100 (Emerging) | Auth: No auth required

Dreamd

Knowledge & Memory · Local stdio

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

Verdict Summary: Choose TeamShared if you need specialized Knowledge & Memory tools running via a local process. Choose Dreamd if your workspace requires Knowledge & Memory integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose TeamShared 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 TeamShared Details

Choose Dreamd 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 Dreamd Details

Feature & Specification Comparison

Specification	T TeamShared Knowledge & Memory	Dreamd Knowledge & Memory
Summary	Shared memory for coding agents. Stop re-explaining your codebase every session.	Local-first, cross-harness memory for AI coding agents.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

TeamShared Tools (0)

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

Dreamd 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).

TeamShared Configuration

mcpServers (Claude Desktop / Cursor)

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

Dreamd Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "dreamd": {
      "command": "npx",
      "args": [
        "-y",
        "dreamd-mcp"
      ]
    }
  }
}

Frequently Asked Questions

TeamShared is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Dreamd belongs to Knowledge & Memory using local stdio subprocess. Select TeamShared when you need capabilities focused on knowledge & memory and Dreamd when you require tools for knowledge & memory.

More alternatives to TeamShared More alternatives to Dreamd Knowledge & Memory category hub Canonical compare URL