Outsource MCP vs Memory (Knowledge Graph)

A side-by-side comparison of two AI, Data & Knowledge servers — tools, transport, auth, maintenance, and copy-paste config for each.

	Outsource MCP Give your AI assistant its own AI assistants — outsource text and image generation to 20+ model providers. Unverified stdio (local) API key Stale Python	Memory (Knowledge Graph) Official MCP server providing persistent, file-backed knowledge-graph memory across sessions. Verified stdio (local) No auth TypeScript
Category	AI, Data & Knowledge	AI, Data & Knowledge
Language	Python	TypeScript
Transport	stdio (local)	stdio (local)
Auth	API key	None
GitHub stars	30	74k
Last commit	1 year ago	5 months ago
Verified
Actively maintained
Install	`uvx --from git+https://github.com/gwbischof/outsource-mcp.git outsource-mcp`	`npx -y @modelcontextprotocol/server-memory`
Repo	Open	Open

Verdict

Pick Outsource MCP if you prefer its approach (give your ai assistant its own ai assistants — outsource text and image generation to 20+ model providers).

Pick Memory (Knowledge Graph) if you want the official, vendor-maintained server, and you prefer the more popular, battle-tested option.

Add Outsource MCP

Install / run

uvx --from git+https://github.com/gwbischof/outsource-mcp.git outsource-mcp

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "outsource-mcp": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/gwbischof/outsource-mcp.git",
        "outsource-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "your-openai-key",
        "ANTHROPIC_API_KEY": "your-anthropic-key",
        "GOOGLE_API_KEY": "your-google-key",
        "GROQ_API_KEY": "your-groq-key",
        "DEEPSEEK_API_KEY": "your-deepseek-key",
        "XAI_API_KEY": "your-xai-key",
        "PERPLEXITY_API_KEY": "your-perplexity-key",
        "COHERE_API_KEY": "your-cohere-key",
        "FIREWORKS_API_KEY": "your-fireworks-key",
        "HUGGINGFACE_API_KEY": "your-huggingface-key",
        "MISTRAL_API_KEY": "your-mistral-key",
        "NVIDIA_API_KEY": "your-nvidia-key",
        "OLLAMA_HOST": "http://localhost:11434",
        "OPENROUTER_API_KEY": "your-openrouter-key",
        "TOGETHER_API_KEY": "your-together-key",
        "CEREBRAS_API_KEY": "your-cerebras-key",
        "DEEPINFRA_API_KEY": "your-deepinfra-key",
        "SAMBANOVA_API_KEY": "your-sambanova-key"
      }
    }
  }
}

Requires `uv` (the Python package runner). Install it from https://docs.astral.sh/uv/ if `uvx` is not found.

Add Memory (Knowledge Graph)

Install / run

npx -y @modelcontextprotocol/server-memory

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "memory-knowledge-graph": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ],
      "env": {
        "MEMORY_FILE_PATH": "/absolute/path/to/memory.jsonl"
      }
    }
  }
}

FAQ

Outsource MCP or Memory (Knowledge Graph) — which is better?

Pick Outsource MCP if you prefer its approach (give your ai assistant its own ai assistants — outsource text and image generation to 20+ model providers). Pick Memory (Knowledge Graph) if you want the official, vendor-maintained server, and you prefer the more popular, battle-tested option.

Can I use both Outsource MCP and Memory (Knowledge Graph)?

Yes — MCP clients let you enable multiple servers at once. Add both configs to your client's mcpServers and use whichever tool fits the task.

Do Outsource MCP and Memory (Knowledge Graph) work with Claude, Cursor and Windsurf?

Both do. Copy the per-client config below into Claude Desktop, Cursor, or Windsurf.

View Outsource MCP →View Memory (Knowledge Graph) →More comparisons →