The ecosystem is growing. But finding the right server is getting harder, not easier.
There is a number that gets thrown around a lot in the MCP ecosystem right now: 20000+.
That is roughly how many MCP servers exist as of April 2026. It is an impressive number. A year ago, there were a few dozen. The growth curve looks exactly like npm circa 2012–2015 — exponential, messy, and full of potential.
But there is a problem nobody is talking about loudly enough.
The discovery problem did not get smaller when the ecosystem grew. It got bigger.
From "does it exist?" to "which one doesn't break in production?"
In early 2025, the question developers asked was simple: is there an MCP server for Postgres? For Slack? For GitHub?
The answer was usually no, or "sort of, check this GitHub repo."
By April 2026, the answer to almost every "is there an MCP for X?" question is yes — often with four to eight options. The new question is harder: which one is maintained? Which one has an install config that actually works? Which one is still actively developed?
A developer covering the MCP ecosystem at miaoquai.com framed this shift better than I have seen anywhere else — paraphrasing from the original Chinese: users are no longer asking whether an MCP server exists for something. They are asking which one is actually good. That move, from "does it exist?" to "which one is trustworthy?", is how you know an ecosystem is maturing.
This is the shift from scarcity to noise. And it is the hardest phase of any ecosystem to navigate.
The signal problem
When developers browse the 7,561 servers indexed at MCPNest, the most common question is not "is there a server for X?" — it is "which of these four options for X should I actually use?"
The default answer most people fall back on is GitHub stars. Stars are visible, comparable, and familiar. The problem is that stars measure historical interest. They tell you how many people were excited about a server at some point in the past. They tell you very little about whether it will work today.
A server can accumulate thousands of stars and then go unmaintained. The stars stay. The maintenance does not.
What quality actually means for an MCP server
We built a Quality Score (A–F) for every server in the MCPNest registry. Not because scores are fun — but because without a better signal, developers keep defaulting to star counts.
The factors we look at:
Maintenance velocity. When was the last commit? A server updated two weeks ago is categorically different from one updated six months ago, even if the code looks identical.
Config completeness. Does the server have a working install config for Claude Desktop, Cursor, or VS Code? A server without a valid install config is not really usable by most developers, regardless of what the README says.
Verification status. Is it listed in the official Anthropic registry? Not a quality guarantee, but a meaningful baseline signal.
Documentation depth. Does the README explain what the server actually does, what tools it exposes, and what credentials it needs?
The principle is simple: a well-maintained server with 300 stars should score higher than an abandoned one with 3,000. That is what we are trying to make visible.
The npm parallel
npm crossed 100,000 packages in 2015. The JavaScript community went through a long reckoning about package quality, maintenance, and trust — left-pad, node_modules bloat, abandoned dependencies pulling production apps down with them.
The MCP ecosystem is smaller and moving faster. A similar reckoning will happen. The question is whether the tooling to handle it gets built proactively or reactively.
What comes next
Quality scoring is a start, but it is a static snapshot. What matters more is dynamic health — knowing when a server you depend on stops being maintained, or when a previously low-scoring server improves significantly.
The goal is not to gatekeep the ecosystem. Every server deserves to be discoverable. The goal is to give developers the context to make informed decisions quickly, so they spend less time debugging abandoned configs and more time building.
7,561 servers indexed is a milestone. But the milestone that actually matters is: how many of those are good, maintained, and ready to use today?
That is the number we are working on making transparent.
MCPNest (mcpnest.io) is a marketplace for MCP servers with Quality Scores, one-click install for Claude, Cursor, Windsurf and VS Code, and an enterprise Gateway for teams.
Top comments (1)
Excellent breakdown of the scale problem. We’ve reached the 'USB-C moment' for connectivity, but we’re quickly hitting the 'Instruction Overload' wall. 7,500+ servers is a massive victory for the ecosystem, but if an agent has to scan even a fraction of those, selection accuracy collapses and token costs balloon.
I've been looking at this as a Governance vs. Discovery problem. In my own work, I'm finding that we have to move away from 'Total Discovery' and toward a Thin Proxy or Routing Layer. We need to treat MCP servers like third-party dependencies—they require vetting, sandboxing, and a 'least-privilege' context. Discovery is great for a weekend project, but curation is the only way this scales in the enterprise.