Idea Reality MCP vs Deep Research MCP

In-depth architectural comparison of the Idea Reality MCP and Deep Research MCP 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 Idea Reality MCP when:

• You need dedicated capabilities in the Research domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).
• Primary tools included: idea_check.

Explore Idea Reality MCP Details

Choose Deep Research MCP when:

• You need dedicated capabilities in the Research domain.
• You prefer remote streaming HTTP/SSE transport architecture.
• Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
• You have access to required keys: RESEARCH_PROVIDER, RESEARCH_API_KEY, RESEARCH_BASE_URL, RESEARCH_MODEL, RESEARCH_TIMEOUT, RESEARCH_POLL_INTERVAL, OPENAI_API_KEY, GEMINI_API_KEY.
• Primary tools included: Multi-provider deep research, OpenAI web search support, OpenAI Code Interpreter support.

Feature & Specification Comparison

Specification	Idea Reality MCP mnemox-ai Research	Deep Research MCP pminervini Research
Summary	Pre-build reality check for AI coding agents. Scans GitHub, Hacker News, npm, PyPI, and Product Hunt to detect existing competition before building, returning a reality signal score (0-100), duplicate likelihood, similar projects, and pivot hints.	Deep research MCP server for OpenAI Responses API or Open Deep Research (smolagents), with web search and code interpreter support.
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": {
    "mnemox-ai-idea-reality-mcp": {
      "command": "uvx",
      "args": [
        "idea-reality-mcp"
      ]
    }
  }
}

{
  "mcpServers": {
    "pminervini-deep-research-mcp": {
      "url": "https://api.openai.com/v1"
    }
  }
}

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