Wsb Analyst Mcp vs Hawkeye AI Bridge

In-depth architectural comparison of the Wsb Analyst Mcp and Hawkeye AI Bridge 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 Wsb Analyst Mcp when:

• You need dedicated capabilities in the Finance & Fintech domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
• You have access to required keys: REDDIT_CLIENT_ID, REDDIT_CLIENT_SECRET.
• Primary tools included: find_top_posts, fetch_post_details, fetch_batch_post_details.

Explore Wsb Analyst Mcp Details

H

Choose Hawkeye AI Bridge 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: hawkeye_search_minimal, hawkeye_search, hawkeye_get_groups.

Explore Hawkeye AI Bridge Details

Feature & Specification Comparison

Specification	Wsb Analyst Mcp ferdousbhai Finance & Fintech	H Hawkeye AI Bridge Finance & Fintech
Summary	Reddit integration to analyze content on WallStreetBets community	Local codebase search for AI assistants via MCP. Requires Hawkeye and Hawkeye AI Bridge installed.
Category & Scope	Finance & Fintech	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": {
    "ferdousbhai-wsb-analyst-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli"
      ],
      "env": {
        "REDDIT_CLIENT_ID": "YOUR_REDDIT_CLIENT_ID_HERE",
        "REDDIT_CLIENT_SECRET": "YOUR_REDDIT_CLIENT_SECRET_HERE"
      }
    }
  }
}

{
  "mcpServers": {
    "hawkeye-ai-bridge": {
      "command": "npx",
      "args": [
        "-y",
        "hawkeye-ai-bridge"
      ]
    }
  }
}

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