AgentRank MCP Server

by superlowburn Your server? Claim it

answering

AgentRank is answering right now. Last checked 15 min ago. 42 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 24 · avg 6 · +12% w/w

a month agotoday

Uptime history 10 days of history

10 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

585 ms

Response time

average over 24h

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.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 15 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add agentrank --transport http https://agentrank-ai.com/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "agentrank": {
      "url": "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

{
  "mcpServers": {
    "agentrank": {
      "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 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

URL	Transport	State	Latency	Checked
https://agentrank-ai.com/mcp	streamable-http	answering	568 ms	15 min ago

Alternatives to AgentRank

same job, measured the same way

Claudeers MCP Server

by claudeers

Search the Claudeers registry of Claude tools, ranked by maintenance and community signals.

3 tools answering

Clelp

by clelp

Search and rate AI tools, MCP servers, and agent skills reviewed by real agent use.

93 installs/wk local only

npm Advisor MCP

by yashvigupta15

MCP server to search, compare, and recommend npm packages by size, popularity, and maintenance.

38 installs/wk local only

Skillsindex

by thomasblc

Search and score 11,000+ AI agent tools: MCP servers, Claude skills, GPT actions, IDE plugins.

38 installs/wk local only

HeyClaude — Claude & AI workflow directory

by jsonbored

Search the HeyClaude directory of Claude Code agents, MCP servers, skills, and tools.

74 installs/wk 28 tools answering

DefaultBench

by nathanyoshua

Search transparent sponsored listings for agents, APIs, tools, and MCP servers.

13 tools answering

Loaditout

by loaditoutadmin

Search and install 20,000+ security-graded MCP servers and agent skills.

36 installs/wk local only

Clarvia

by digitamaz

AI agent tool discovery and scoring. Search 15,400+ MCP servers, APIs, and CLIs.

77 installs/wk local only

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 585 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 with the file path 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 585 ms on average, which is faster than 22% 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 42 times in the last week. Week over week that is +12%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.