If you're building an AI agent, chatbot, or LLM application — your agent is only as good as the data it can access.
Here's a complete data stack for AI agents, using free tools that return structured, verified data from real sources.
The Stack
| Need | Tool | Data Source | Link |
|---|---|---|---|
| Market intelligence | MCP Market Research | 9 verified sources | Apify |
| Company research | MCP Company Researcher | Website + news + HN | Apify |
| Lead generation | MCP Lead Finder | Emails + social + tech | Apify |
| SEO analysis | MCP SEO Analyzer | 50+ technical factors | Apify |
| Social monitoring | MCP Social Monitor | HN + SO + News + Bluesky | Apify |
| Trend detection | MCP Trend Detector | Multi-source signals | Apify |
| Web search | MCP Web Search | Wikipedia + News + HN | Apify |
| Idea validation | MCP Startup Validator | 5 real signals, 0-100 | Apify |
| Competitor tracking | MCP Competitor Tracker | Side-by-side domains | Apify |
| Content analysis | MCP Content Analyzer | Readability + keywords | Apify |
Why MCP > Function Calling
MCP is a standard. Tools you build work across Claude, Cursor, Cline, and any MCP client. No vendor lock-in.
MCP servers are composable. Chain market research → competitor tracking → lead generation in a single agent workflow.
Real data, not hallucinations. Every response links to its source. Your agent works with verified facts.
Quick Setup
Add any server to your MCP config:
{
"mcpServers": {
"market-research": {
"command": "npx",
"args": ["-y", "@anthropic/mcp-remote",
"https://actors-mcp.apify.com/sse/knotless_cadence~mcp-market-research-server"]
}
}
}
Then ask your AI: "Research the competitive landscape for [industry] in [geography]."
All 15 MCP servers: GitHub
Custom market research — $20: Order via Payoneer
