Hlido MCP vs Agentinterviews MCP

In-depth architectural comparison of the Hlido MCP 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 Hlido 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: trust_check, find_trusted, verify_claim.

Explore Hlido MCP 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	Hlido MCP ankitkapur1992-hlido Research	Agentinterviews MCP thinkchainai Research
Summary	Independent trust scores, claim audits, and comparisons for AI agents — queryable by your agent over MCP. Hosted Cloudflare Worker at hlido.eu/mcp (no install). Returns a 0–100 score, tier verdict, per-claim PASS/FAIL audit, and signed evidence for a reviewed agent. From Hlido.	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": {
    "ankitkapur1992-hlido-hlido-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "wrangler"
      ]
    }
  }
}

{
  "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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