Stores & marketplaces

MCP and AI assistant directories

Publishing a server or plugin lets people use your product from inside their AI assistant.

Visit modelcontextprotocol.io
Cost
Free

Free to use. No paid tier is needed to list or post.

Verdict
slow burn

Slow burn: publishing a server lets people use your product from an AI assistant. These directories are young.

Difficulty
Easy

Mostly self-serve. Sign up and post, with light checks.

Effort
Medium

About 5 to 10 hours a month.

First result
1 to 3 weeks

A rough range for one person working on it part-time.

Payoff
Compounds

keeps growing while you keep at it.

Best for

Developer and AI products with an API.

Not for

Products with no API or tool surface.

Pros

  • Puts your product inside AI assistants
  • Free to list

Cons

  • Directories are young
  • Needs an API or server

The full guide

Last verified 2026-10-30

Links checked 2026-10-30 · All links answer

01What it is and who is there

The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to tools and data. Publishing an MCP server for your product lets people use it from inside assistants and coding tools that support MCP. Several directories list MCP servers, and assistant platforms run their own. The audience is developers and AI power users. These directories are young and change quickly.

02Cost and what you actually pay for

Listing in most directories is free. Your cost is building and maintaining the server. Check each directory's current terms.

03Is it right for you?

It fits products with an API that answers questions or takes actions, such as search, data lookup, project management or analytics. It fits poorly for products with no API. If your API is unstable, wait.

04Before you start

  • Read the MCP documentation on modelcontextprotocol.io.
  • A clear set of tools your server will expose, with good names and descriptions.
  • Authentication that is safe for users' data.

05Step-by-step: how to distribute here

  1. Build the MCP server with an official SDK.
  2. Test it with at least one MCP-capable client.
  3. Publish it with a README: what it does, install, configuration, example prompts.
  4. Submit it to the directories your users browse, following each one's rules.
  5. Announce it to existing users with a short demo.
  6. Update it when your API changes.

06What to post or submit

README opening:

# [Product] MCP server
Use [product] from [assistants that support MCP]. Tools: [tool list]. 
Install: [command]. Configure: [env vars].
Example: "[prompt]".

07Common mistakes and do-nots

  • Do not expose destructive actions without confirmation.
  • Do not store users' credentials insecurely.
  • Do not let the server break silently after API changes.

08How to measure it

  • Track installs or API calls from the server.
  • Track sign-ups that mention assistants.
  • A realistic test: two months.

09Time budget

  • Before: 8 to 30 hours.
  • Ongoing: 1 to 3 hours a month.

10Pair it with

11Sources

Sources