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100
MCP live MCP 2025-11-25 streamable-http

AgentRank

io.github.superlowburn/agentrank

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

Watch this dependency

Get before/after evidence when observed tools, schemas, authentication access, availability or the endpoint changes.

Inspect evidence and set up a watch Share public evidence report
Uptime
100.0%
5 direct probes · 30d
Response
1110ms
last probe
Tools
5
callable
Resources
0
readable
Prompts
0
available
Score: 100/100
Handshake verified by our own probe.
why this score
pass Answers the MCP handshake 50/50
The handshake and the list calls succeeded on the primary URL.
pass Lists tools, resources or prompts 30/30
5 tools, 0 resources, 0 prompts returned.
pass 3 or more catalogue items 10/10
5 items in total; 3 or more earns these points.
pass Describes itself 10/10
90 characters; more than 30 earns these points.

Tools · 5

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 heal…

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.

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…

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"…

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…

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "agentrank": {
      "url": "https://agentrank-ai.com/mcp",
      "transport": "streamable-http"
    }
  }
}