# Verging Labs MCP server

> Verging Labs MCP server — verginglabs-mcp. Use this tool when you need to evaluate and compare the performance of AI tools, or when requiring standardized benchmark rankings and telemetry data for optimization. It provides honest rankings through the Agentic Memory Index and Agentic Search Index, along with graded checks for x402 endpoints. This tool is ideal for AI development and optimization contexts where accurate performance assessment is crucial.

Canonical page: https://skillsregistry.net/skills/verginglabs-mcp  
JSON: https://api.skillsregistry.net/v1/skills/verginglabs-mcp

## Description

Provides AI agents with honest benchmark rankings (Agentic Memory Index and Agentic Search Index) for AI tools, plus graded checks and telemetry for x402 endpoints.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c670ch98nj)
- **Repository:** <https://github.com/verginglabs/mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "verginglabs-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/verginglabs-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/verginglabs-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt