Build a Niche MCP Server for AI Agents

It has a developer-only perception, so non-obvious verticals stay unserved while the agent ecosystem grows fast.

1. 1

   Pick a vertical with real data

   Choose an industry whose data or tools agents cannot easily reach: court records, medical coding references, HR systems, permit databases. The value is the access, not the protocol.

2. 2

   Learn the MCP spec hands-on

   Build a toy server with the official TypeScript or Python SDK first. One well-designed tool with clear descriptions beats ten thin wrappers an agent cannot use reliably.

3. 3

   Add value beyond a wrapper

   Combine sources, clean the data, and handle the vertical's edge cases. If your server just proxies one public API, the buyer will skip you and call it directly.

4. 4

   Ship and list it everywhere

   Open-source the core, then list on MCP directories and registries like Smithery and mcp.so so agent builders actually find it. Distribution is discovery in this market.

5. 5

   Charge for keys and usage

   Gate the hosted version behind API keys with Stripe metered billing: a free tier for evaluation, paid tiers by request volume. Teams pay for hosted reliability, not code.

6. 6

   Land the first paying teams

   Hang out where agent builders do: AI engineering Discords, MCP GitHub discussions, and the vertical's own dev communities. Five paying teams validates the niche before you build server two.

Read the full step-by-step guide →