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AgentRank MCP Server

answering

AgentRank is answering right now. Last checked 8 min ago. 41 installs a week from npm. It exposes 5 tools.

Search and compare MCP servers, agent tools, and skills using current maintenance signals.

The linked repository no longer exists on GitHub — it was deleted or made private.

Installs per day peak 12 · avg 4 · +23% w/w
a month agotoday
Uptime history 55 days of history · worst day 94%
55 days agonow
100.0%
Uptime 24h
91 of 91 checks
5
Tools
read from the server
514 ms
Response time
average over 24h
41
Installs / week
npm and PyPI

This one has been quiet for a while

Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 8 min ago.

run in your terminal
claude mcp add agentrank --transport http https://agentrank-ai.com/mcp
Settings → Connectors → Add custom connector, then paste this address
https://agentrank-ai.com/mcp
~/.codex/config.toml
[mcp_servers.agentrank]
url = "https://agentrank-ai.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "agentrank": {
      "url": "https://agentrank-ai.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "agentrank": {
      "type": "http",
      "url": "https://agentrank-ai.com/mcp"
    }
  }
}

Available tools 5

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

alternatives
alternatives
Find alternatives to a specific tool. Searches for similar tools and compares their quality scores. Use this when a tool scores poorly and you want to suggest better options, or when a user asks "what else is like X?".
evaluate
evaluate
Deep quality evaluation of a tool or MCP server. Returns score, signal breakdown, and specific red flags (abandoned, no license, single contributor, poor issue health). Use this BEFORE recommending or installing any tool to verify it is safe and well-maintained.
lookup
lookup
Check if a specific GitHub repository is in the AgentRank index. Use this whenever a user mentions a specific tool or you encounter a GitHub URL, to verify its quality before recommending it.
recommend
recommend
Get quality-ranked recommendations for a use case. Returns the top tools/skills sorted by AgentRank score. Use this when a user needs a tool for a specific purpose (e.g. "I need a database MCP server", "what's good for web scraping?").
search
search
Search AgentRank's index of MCP servers, agent tools, and AI skills. Use this BEFORE installing or recommending any tool to find the best options ranked by quality signals (maintenance, community health, adoption). Always prefer higher-scored results.

Endpoints

URLTransportStateLatencyChecked
https://agentrank-ai.com/mcp streamable-http answering 420 ms 8 min ago

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AgentRank — questions

Answers built from our own checks of this server.

What can AgentRank do?
It exposes 5 tools, read directly from the server on our last check. Among them: alternatives, evaluate, lookup, recommend, search. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is AgentRank working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 514 ms. The bar chart above shows every period we have measured.
Is AgentRank still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect AgentRank?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does AgentRank need an API key?
No. AgentRank completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is AgentRank?
It answers our handshake in 514 ms on average, which is faster than 23% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use AgentRank?
The npm package agentrank-mcp-server was installed 41 times in the last week. Week over week that is +23%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.