What is the key difference between Cc Sensei and Central Intelligence?

Cc Sensei belongs to the Knowledge & Memory category with local stdio execution, while Central Intelligence belongs to the Knowledge & Memory category with local stdio execution.

How do I install Cc Sensei or Central Intelligence 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 Cc Sensei and Central Intelligence free or paid?

Cc Sensei operates under a Free / Open Source model (No auth required). Central Intelligence operates under a Freemium model (API Key required).

Which MCP server has more tools and community activity?

Cc Sensei lists 6 tools with 2 views and 3 GitHub stars. Central Intelligence lists 6 tools with 2 views and 3 GitHub stars.

Can I use both Cc Sensei and Central Intelligence 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

Cc Sensei vs Central Intelligence

In-depth architectural comparison of the Cc Sensei and Central Intelligence 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

Cc Sensei

Knowledge & Memory · Local stdio

Quality: 52/100 (Good) | Auth: No auth required

Central Intelligence

Knowledge & Memory · Local stdio

Quality: 49/100 (Fair) | Auth: API Key required

Verdict Summary: Choose Cc Sensei if you need specialized Knowledge & Memory tools running via a local process. Choose Central Intelligence 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 Cc Sensei 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: 32 queryable architecture modules from Claude Code, 6 specialized tools for architecture and source queries, Natural language search with adjustable depth.

Explore Cc Sensei Details

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.

Feature & Specification Comparison

Specification	Cc Sensei contradictory-body Knowledge & Memory	Central Intelligence AlekseiMarchenko Knowledge & Memory
Summary	Distills Claude Code's 310K LoC source into 32 queryable architecture modules via MCP. 6 tools: list modules, query architecture, trace cross-cutting concerns, search patterns, and read source code. Sub-120ms p95, fully local, zero network deps.	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.
Category & Scope

Tools & Capabilities Breakdown

Cc Sensei Tools (6)

32 queryable architecture modules from Claude Code

6 specialized tools for architecture and source queries

Natural language search with adjustable depth

Cross-trace concerns across all modules

Source code reading with line numbers and ranges

Fully local operation with sub-120ms p95 latency

Central Intelligence Tools (6)

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).

Cc Sensei Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "contradictory-body-cc-sensei": {
      "command": "npx",
      "args": [
        "-y",
        "cc-sensei"
      ]
    }
  }
}

Central Intelligence Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

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