MCP (Model Context Protocol) connects AI agents to real-world tools.
Instead of hallucinating data, agents call MCP servers that return verified information.
My 15 MCP Servers
- Market research from 9 sources
- Company intelligence
- Lead generation
- SEO analysis
- Social monitoring
- Trend detection
- Web search
- And 8 more
Custom AI agent data — $20: Payoneer
Top comments (1)
MCP is genuinely the missing piece for AI agents that need to do real work beyond text generation. The JSON-RPC 2.0 foundation makes it clean to implement, and the tool discovery pattern means agents can dynamically adapt to whatever capabilities are available.
We've been building with this exact approach at AnveVoice — our voice AI assistant uses 46 MCP tools via JSON-RPC 2.0 to take real DOM actions on websites (clicking buttons, filling forms, navigating pages). The protocol standardization means we can keep adding new tool servers without touching the core agent logic.
One thing I'd add to your list — accessibility tooling as an MCP server is a massive untapped use case. 96% of websites fail WCAG compliance, and an MCP server that handles accessibility auditing + remediation could plug into any AI agent stack. That's one of the directions we're exploring with voice-driven web interactions.
Great breakdown of the 15 servers — the market research + company intelligence combo sounds particularly powerful for sales workflows.