Touch Browser vs Agentinterviews MCP

In-depth architectural comparison of the Touch Browser and Agentinterviews 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 Touch Browser 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: Page-local claim verdicts, Confidence bands and review recommendations, Citation URLs with retrieval timestamps.

Explore Touch Browser Details

Choose Agentinterviews MCP when:

• You need dedicated capabilities in the Research 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: API_KEY.
• Primary tools included: agentinterviews_list_projects, agentinterviews_get_interview, agentinterviews_list_interviewers.

Feature & Specification Comparison

Specification	Touch Browser nangman-infra Research	Agentinterviews MCP thinkchainai Research
Summary	Evidence-grounded web research for AI agents. Verifies page-local claims with citations, confidence bands, policy reports, and multi-page session synthesis via MCP.	Conduct AI-powered qualitative research interviews and surveys at scale with Agent Interviews. Create interviewers, manage research projects, recruit participants, and analyze interview data through 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": {
    "nangman-infra-touch-browser": {
      "command": "npx",
      "args": [
        "-y",
        "@nangman-infra/touch-browser-mcp"
      ]
    }
  }
}

{
  "mcpServers": {
    "thinkchainai-agentinterviews-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://api.agentinterviews.com/mcp",
        "--header",
        "Authorization:${API_KEY}"
      ],
      "env": {
        "API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

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