Agentram MCP vs MarsNMe

In-depth architectural comparison of the Agentram MCP and MarsNMe 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.

Which MCP Server Should You Choose?

Choose Agentram MCP 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).
• Primary tools included: store_memory, retrieve_memory, list_memories.

Explore Agentram MCP Details

Choose MarsNMe 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).
• Primary tools included: insert_memory, list_memories, search_memories.

Explore MarsNMe Details

Feature & Specification Comparison

Specification	Agentram MCP seanmarkwei Knowledge & Memory	MarsNMe Knowledge & Memory
Summary	Persistent memory for AI agents through a simple key-value HTTP API. No vector database or embeddings required. Store, retrieve, search, and share memory across agents with shared namespaces and TTL support. npx -y agentram-mcp	Agent-agnostic memory backend that preserves continuity between humans and AI over time.
Category & Scope	Knowledge & Memory

Tools & Capabilities Breakdown

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).

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

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

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