Central Intelligence vs ChatCrystal

In-depth architectural comparison of the Central Intelligence and ChatCrystal 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 Central Intelligence when:

• You need dedicated capabilities in the Knowledge & Memory domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: API Key required (Freemium).
• You have access to required keys: CI_API_KEY.
• Primary tools included: Five MCP tools: remember, recall, context, forget, share, Semantic search via vector embeddings, Agent, user, and organization scoped memory.

Explore Central Intelligence Details

Choose ChatCrystal 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: Conversation import from supported coding assistants, Structured notes with summaries, conclusions, snippets, and tags, Embedding-based semantic search.

Feature & Specification Comparison

Specification	Central Intelligence AlekseiMarchenko Knowledge & Memory	ChatCrystal ZengLiangYi Knowledge & Memory
Summary	Persistent memory for AI agents. Five tools (remember, recall, context, forget, share) with semantic search via vector embeddings and agent/user/org scoping. Works with Claude Code, Cursor, Windsurf, and any MCP client.	Local-first AI PKM memory server for coding conversations. Imports Claude Code, Cursor, Codex CLI, Trae, and GitHub Copilot chats into notes, semantic search, tag graphs, Markdown exports, and reusable MCP memory. npx -y chatcrystal mcp
Category & Scope

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": {
    "alekseimarchenko-central-intelligence": {
      "command": "npx",
      "args": [
        "-y",
        "central-intelligence-local"
      ],
      "env": {
        "CI_API_KEY": "YOUR_CI_API_KEY_HERE"
      }
    }
  }
}

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

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