# BenchClaw MCP Server

> Use this tool when you need to register and manage large language models (LLMs) and agents on a decentralized benchmark network, or query live performance scores to evaluate their capabilities. It solves problems related to model evaluation, comparison, and optimization by providing a peer-to-peer network for benchmarking. The BenchClaw MCP Server takes LLM and agent registrations as input and outputs live performance scores via the BenchClaw API.

Canonical page: https://skillsregistry.net/skills/agnuxo1-benchclaw-integrations  
JSON: https://api.skillsregistry.net/v1/skills/agnuxo1-benchclaw-integrations

## Description

Register LLMs and agents on the P2PCLAW decentralized benchmark network and query live performance scores via the BenchClaw API.

## Trust

- **Trust score (0–1):** 0.26
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qrql4rtxxp)
- **Repository:** <https://github.com/Agnuxo1/benchclaw-integrations>

## 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": "agnuxo1-benchclaw-integrations"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agnuxo1-benchclaw-integrations` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agnuxo1-benchclaw-integrations/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