How do you market an MCP server?

Treat the integration as the marketing. An MCP server gets adopted when a developer can find it, understand what it connects in one screen, and wire it into Claude or their agent in minutes. That means a tight README, a copy-paste config, a real quickstart, and a changelog that proves it is maintained. Distribution is developer-native: the MCP registries, GitHub, Hacker News, and the Claude and agent communities, not paid social.

Where do developers discover MCP servers?

In the MCP registries and awesome-lists they browse when they need a capability, in GitHub search and repo READMEs, in Hacker News and the Claude and agent communities, and through working examples other developers share. They almost never discover infrastructure through ads. So the job is to be present and legible in those surfaces, with a name and one-liner that say exactly what you connect.

What makes an MCP server adoptable?

Time to first working call. If a developer can read what it does, paste a config, and see it work inside their agent in a few minutes, you win. Friction anywhere in that path (unclear scope, a heavy setup, missing examples, a stale changelog) loses them before any marketing message lands. The README and the first five minutes are the funnel.

Where do you list an MCP server?

Start with the official MCP Registry (registry.modelcontextprotocol.io), the canonical source other tools sync from, and the GitHub MCP Registry, which surfaces servers inside the developer's existing workflow. Then cover the directories developers actually browse: Smithery, Glama, PulseMCP, mcpmarket.com, and mcpservers.org. Finally, open a pull request to the punkpeye/awesome-mcp-servers list on GitHub, the community catalog that AI assistants and clients read directly. List on all of them: each is a separate discovery surface, and the cost is a one-time submission.

Should an MCP server company do outbound?

Lightly, and only on signal. Reaching out to a developer who starred the repo, opened an issue, or shipped an integration is grounded in something real and welcome. Generic enrichment-and-sequence outbound to a developer audience reads as spam and burns trust. For the broader playbook, see go-to-market for AI agent and MCP companies.

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Playbook

How to Market
an MCP Server

New MCP servers ship every day, and most are never found. Adoption comes down to two things: whether a developer can discover yours, and whether they can wire it up in five minutes. Marketing an MCP server is mostly making those two things true.

By Daria Dovzhikova · Updated June 2026

TL;DR

The integration is the marketing. Adoption is won in the README and the first five minutes, not the campaign.
Be legible where developers browse: MCP registries, awesome-lists, GitHub search, and the Claude and agent communities.
Optimize for time-to-first-working-call. Any friction in setup loses the developer before the message lands.
Outbound only on real signal (stars, issues, shipped integrations); generic sequences read as spam.

The discovery problem

MCP turned integrations into a browsable catalog, which is great for developers and brutal for any single server. When someone needs a capability, they search a registry, an awesome-list, or GitHub, scan a dozen options in a minute, and pick the one they understand fastest. Your competition is not a sales process, it is the other twenty servers on the same page.

That makes legibility the first marketing job. A name that says what you connect, a one-line description a developer reads without thinking, and a README that opens with the capability, not the company. This is developer marketing in its purest form: the product surface is the message.

Make the integration the pitch

The whole funnel is the first five minutes. Win them with four things:

A one-screen README. What it connects, why, and the config to paste, above the fold. No scrolling to understand the point.
A copy-paste setup. The exact config block for Claude or the common agents, working out of the box.
A real quickstart. One concrete example that does something useful, so the developer feels the value, not just the install.
A living changelog. Cadence signals the server will still work next month, which is half the adoption decision for infrastructure.

These are the same instincts the README conversion scorer grades, applied to an MCP server.

Where MCP servers get found

Distribution is developer-native and concentrated. Discovery happens in a short, specific list of registries, in GitHub search, and in the Claude and agent communities, where a working demo travels further than any announcement. None of this is paid; all of it is being legible in the places developers already are. The single highest-leverage step is to list everywhere that catalogs servers, because each registry is a separate surface and the only cost is a one-time submission.

The MCP registries to list on

These are the catalogs developers and AI clients pull from when they need a capability. Submit to all of them:

Official MCP Registry (registry.modelcontextprotocol.io). The canonical, protocol-backed registry and the source of truth other tools sync from. List here first.
GitHub MCP Registry. Surfaces servers inside the workflow developers already live in, with the trust signal of the repo attached.
Smithery. A large hosted registry with one-click and config-based install, where many developers start browsing.
Glama. A curated directory that scores and ranks servers, so a clean, well-documented entry stands out.
PulseMCP. An actively maintained directory with frequent updates and usage signal, good for staying visible as the catalog grows.
mcpmarket.com and mcpservers.org. Community directories that AI Overviews and assistants regularly surface for MCP queries.
punkpeye/awesome-mcp-servers (GitHub). The community awesome-list AI assistants and clients read directly. Open a pull request; entries are accepted quickly and this is one of the most-cited MCP sources.

Ship a repo that ranks for the capability in GitHub search, keep the entry on each registry current, and the catalog does the distribution for you. The same logic scales to the rest of the company. For the full motion, see go-to-market for AI agent and MCP companies and the agent-operated developer-tools GTM machine.

Get your MCP server adopted