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MCP Queen

Indexes MCP servers and records dated operational evidence from live checks so you can compare them before connecting.

Actively maintained

At a glanceswept Oct 23, 2026

not read yet

Use

For
developers and AI agent builders choosing which MCP servers to connect to their agents
Activity
Actively maintainedrelease 6 weeks ago
Used for
  • find MCP servers and inspect their observed tools
  • review dated operational evidence before connecting a server
  • compare MCP servers by use case such as databases or dev tools
Worth knowingcomputed from what we read · each with its source
How a program reaches itfound, not claimed · read Oct 24, 2026
  • MCP servercom.mcpqueen/registryverified in the MCP registry
  • Stateanswers, 7 toolschecked 2026-10-24
  • Address to connectmcpqueen.com/mcp
  • API docsmcpqueen.com/apithe vendor's page ↗
  • MCP docsmcpqueen.com/mcp-server-discoverythe vendor's page ↗

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Developer toolsby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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Not it? Say what you need

beta

Three tools from the Atlas for the job you describe, each with what fits and what does not.

From people who use itnot part of the reading

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Questions this page answers
  • What is MCP Queen?

    Indexes MCP servers and records dated operational evidence from live checks so you can compare them before connecting. It is listed in the Atlas under Developer tools.

  • Who is MCP Queen for?

    developers and AI agent builders choosing which MCP servers to connect to their agents

  • Do people use MCP Queen?

    Little sign of use.

  • Is MCP Queen still maintained?

    Actively maintained: release 6 weeks ago.

  • What are alternatives to MCP Queen?

    In Developer tools, by use: GitLab, Cursor, Postman, Keploy, Augment Code, Blink.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk