Llm Token Tracker vs CogniRepo

In-depth architectural comparison of the Llm Token Tracker and CogniRepo 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 Llm Token Tracker when:

• You need dedicated capabilities in the Finance & Fintech domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).
• Primary tools included: track_usage, get_current_session, get_usage.

Explore Llm Token Tracker Details

Choose CogniRepo when:

• You need dedicated capabilities in the Finance & Fintech domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).
• Primary tools included: AST-based symbol lookup, FAISS and BM25 retrieval, Persistent session and episodic memory.

Explore CogniRepo Details

Feature & Specification Comparison

Specification	Llm Token Tracker wn01011 Finance & Fintech	CogniRepo Finance & Fintech
Summary	Token usage tracker for OpenAI and Claude APIs with MCP support, real-time session tracking, and accurate pricing for 2025 models	FAISS, call graph, AST, BM25 — 34 MCP tools for AI agents. 50-80% token reduction. Offline.
Category & Scope	Finance & Fintech

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": {
    "wn01011-llm-token-tracker": {
      "command": "npx",
      "args": [
        "llm-token-tracker"
      ]
    }
  }
}

{
  "mcpServers": {
    "cognirepo": {
      "command": "uvx",
      "args": [
        "pipx"
      ]
    }
  }
}

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