thinkchainai/agentinterviews_mcp

Overview

This MCP server provides access to AgentInterviews.com data through the Model Context Protocol. It allows developers to integrate interview content into MCP-compatible tools and workflows.

Best for

Best for
Developers building MCP-enabled tools that need to reference agent interview content.

Use cases

• Retrieve agent interview transcripts or summaries via MCP
• Integrate interview data into custom knowledge bases or assistants
• Query interview content from within MCP-compatible IDEs or chat interfaces

How to use

Tools exposed

• npx

Tested with

Cursor, Claude Desktop

Example client config

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

Notes

This MCP server provides access to AgentInterviews.com data through the Model Context Protocol. It allows developers to integrate interview content into MCP-compatible tools and workflows.

3 stars on GitHub. Last updated 2025-05-26.

Use cases

• Retrieve agent interview transcripts or summaries via MCP
• Integrate interview data into custom knowledge bases or assistants
• Query interview content from within MCP-compatible IDEs or chat interfaces

Pros

• Lightweight MCP implementation for accessing structured interview data
• Open source with a straightforward codebase for customization
• Leverages the growing MCP ecosystem for interoperability

Cons

• Limited community traction with only 3 GitHub stars
• Dependency on AgentInterviews.com availability and content scope
• May require additional configuration for non-standard MCP clients

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.